factored/fr-crawler-private · Datasets at Hugging Face

labels class label 7 classes	text stringlengths 19 772
0Data Engineer	ToolsTechnologies: Java, Google IOT, Pubsub, Cloud Functions, Bigquery, Postgres, GCS, Dataproc, Spark, Micronaut.
0Data Engineer	Collected, cleaned and prepared equipment and crew performance data to measure maintenance department’s KPIs that allowed the management teams to identify process improvements and design new approvals protocols; insights helped build a more efficient budget approval process.
1Machine Learning Engineer	Developed a Loan Default Prediction model for a Lending Club
0Data Engineer	Created an interactive Streamlit data application using Rivery to pull data from Google Forms and Snowflake databases to get insights about customers preferences.
3Data Scientist	Designed and developed SQL ETL pipelines orchestrated in Python as input for tree based Scikit-Learn, LightGBM and XGBoost machine learning models to predict credit scores for corporate clients.
0Data Engineer	Data Architecting and Engineering for Univision network, using GCP tools such as Composer, Dataflow, and Pubsub.
1Machine Learning Engineer	Built a one-stage object detector using the deep learning YOLOv4 model and served it through a Dockerized API deployed in AWS.
1Machine Learning Engineer	Reduced the detection missing rate in the test set from 1.25% to 0.00% and increased several segmentation metrics in the test set such as the dice score from 83.99% to 88.97% in a colon polyp detection and segmentation problem for an academic publication.
0Data Engineer	Worked on data processing, database optimization, automation scripting, monitoring platforms logs and health signs.
1Machine Learning Engineer	Led the team that finished 3rd in the Learn By Doing - NeurIPS 2021 competition, where we used control theory to develop controllers for complex dynamical systems.
1Machine Learning Engineer	Implemented a transfer learning pipeline, on Python with a Kubernetes GPU cluster, on the Pytorch Facebook ESM-1b transformer model to extract embeddings from the SARS-CoV-2 spike protein sequences to feed said embeddings to downstream tasks.
2Data Analyst	Updated daily dashboards to drive decisions in the investment process.
5Analytics Engineer	Integrated customer data sources and designed a model using SAP Business Warehouse, SQP DS and SQL to create a 360 customer view to help the salesforce team during the sales visits.
1Machine Learning Engineer	Developed a simulation tool for the future Intelligent Control course of the Artificial Intelligence Masters degree. Designed practical assignments for a future Machine Learning introductory course for the Biomedical Engineering department at one of the most prestigious private research universities in Colombia.
0Data Engineer	Product Owner and Front-End Architect for a proprietary web solution to manage automation projects leveraging GraphQL endpoints built on top of Lambda, S3 and DynamoDB.
1Machine Learning Engineer	Provided consultancy to government companies.
0Data Engineer	Implemented streaming data processing components.
0Data Engineer	Implemented Power BI dashboards for tracking eLearning compliance across three countries, leveraging an ETL to move data from an eLearning platform to SQL Server. This report improved compliance from 83% to 98% in a company with >1.000 new hires per month.
1Machine Learning Engineer	Implemented an accurate and efficient linear machine learning model to predict month-ahead energy consumption for 100,000+ clients, including households and industrial consumers for an energy trading company in Colombia, for better pricing decisions and outlier detection.
0Data Engineer	Designed and developed custom web tools for several companies in fields such as financial services, supply chain, construction, and IoT monitoring, among others.
1Machine Learning Engineer	Developed a solution to identify probable bank loan defaults using gradient-boosted tree models. Deployed a Docker containerized API via GitHub Actions on AWS ECS and stood up a server with MLFlow to automate model training.
1Machine Learning Engineer	Used alternating least squares for matrix factorization to encode clients preferences based on their transactional data, which enabled the designing and implementation of large-scale recommender systems to pair more than ten million clients with offers in national businesses, improving their experience by providing personalized recommendations. The model was built using the bank’s Cloudera data lake.
3Data Scientist	Assisted students and professors in operation of lab equipment (i.e, distillation column, heat exchangers, pumps) and supported students in process modeling and simulation.
5Analytics Engineer	Built reports and dashboards for tracking customer interactions and discovering insights based on behavioral and historical data.
3Data Scientist	Created ETL pipelines using tools from the Hadoop ecosystem, such as Hive and Spark, to process large amounts of data, transform raw data and generate consolidated information to support business decisions.
0Data Engineer	Led the design, implementation, and migration of a unified data warehouse for an Argentinian financial conglomerate to facilitate business intelligence, analytics, reporting, and decision-making across four subsidiaries. Tools used included SQL Server, SSIS, C, Python, and PowerBI.
1Machine Learning Engineer	Added new features and maintained a web application using Django REST framework and PostgreSQL to track and manage shipments for a logistics company.
0Data Engineer	Led the team as a developer to deliver maximum throughput to the client BT.
1Machine Learning Engineer	Trained interns in Python, SQL, data warehousedata mart, and data visualization techniques.
0Data Engineer	Used services such as Azure Cognitive.
0Data Engineer	Collected, cleaned, analyzed, and presented information from different data sources such as applications’ behavioral data, APIs, and multiple providers’ databases based on specific criteria using spreadsheets, Python, Pandas, and NumPy to provide relevant insights for an informed decision-making process for marketing, health & fitness, and nformation & technology services industries.
0Data Engineer	Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow, AWS Glue, Apache Spark, DBT, and SQL.
0Data Engineer	Assessed customer incidents following service level agreements through root cause analysis, impact analysis and setting remediation actions.
0Data Engineer	Defined data governance rules to integrate different data sources.
3Data Scientist	Performed panel data modeling and multivariate analysis using base and plm packages for R to model the relation between science and technology innovation and GDP of Ibero American countries. (Paper)
1Machine Learning Engineer	Processed and imported the model’s result from an S3 bucket to an ElasticSearch index, including adding scripted queries to the ElasticSearch pipeline for dynamic calculation of results.
0Data Engineer	Built the machine learning microservices architecture using AWS ECS, Docker, and Python, in order to provide the machine learning models real-time predictions.
0Data Engineer	Developed a data quality assessment report using AWS Lambda to generate a JSON output.
1Machine Learning Engineer	Improved performance, based on the precision metric, of the curb detection model by tuning its architecture for edge cases such as: curb occlusion due to snow or multiple parked vehicles, detection when the bus was on the farthest lane, multiple curbs in one image.
1Machine Learning Engineer	Classified forum questions (abovebelow median score) using deep-learning-based NLP models and mixing unstructured and structured features, trained the task with >1M data samples and applied explainability frameworks (Lime SHAP) to suggest improvements in the questions. The predictions and suggestions were served through a dockerized FastAPI application deployed in AWS Fargate.
0Data Engineer	Performed ETLELT to integrate data from various data sources to build data marts applying data cleansing and data analysis of service tickets across multiple channels using Python, SQL, and Spark.
3Data Scientist	Created several web scrapers using Selenium and Beautiful Soup to aid in the retrieval of publicly available information on legal cases.
1Machine Learning Engineer	Built an intermittent demand forecasting model in Python applying exponential smoothing and gradient boosting to predict sales in advance for the next 28 days for >30K different grocery references across multiple regions.
1Machine Learning Engineer	Built and deployed an algorithm to model customer purchasing behavior for the largest delivery platform in Latin America. The model was built using Random Forests and Gradient Boosting techniques with XGBoost Library. Also, implemented a monitoring scheme to keep track of performance over time.
3Data Scientist	Developed an automatic motion tracking system using ResNet models for validating contactless methods for assessing the motor system of the patients. Used Pytorch and ResNet models to train and test an automatic motion tracker system that captured the patients finger-tapping task for a university neurology school in the United States.
1Machine Learning Engineer	Sourced images, labels, and narratives from Open Images V7 and conducted exploratory data analysis to extract a smaller subset
1Machine Learning Engineer	Implemented backend and front-end frameworks to display credit default risk predictions and explainability using Stream-lit and LIMESHAP libraries.
1Machine Learning Engineer	Taught statistics, calculus, and algebra to college students.
0Data Engineer	Developed OLAP systems and designed C-Level dashboards for leading oil and gas companies in Latin America, such as Exxon mobil, Terpel, YPF, Shell, and Petrobras.
3Data Scientist	Led use case testing of a semi-automatic labeling tool developed by a world leading consulting company. Performed packing of source code and trainedvalidated data sets, assessed model output quality by comparing its performance metrics and error analysis over misclassified examples to identify failure causes and determine how to turn error analysis into model inputs. Iterations with different datasets helped to evaluate the computational capacity of the tool.
1Machine Learning Engineer	Developed and scored a fintech’s company equity model to rank order 100+s ETFs across several international financial markets.
0Data Engineer	Provided web and software development services to businesses in food and hospitality industries.
1Machine Learning Engineer	Worked as a major contributor (50%) of a data infrastructure project to crawl and analyze job descriptions from different APIs to gather insights about market trends regarding AI roles, using Apache Airflow as orchestrator.
0Data Engineer	Defined the operating model, roles (e.g. Data Owner, Data Steward, Chief Data Officer), and their functions including responsibilities for solving data quality issues, data catalog maintenance, and providing technical resources for the data governance strategy.
0Data Engineer	Built TiDB databases and table structures following Kafka event-driven architecture methodology to enable data flow within core apps to improve delivery, onboarding, ledger accounts and campaigns features and processes for a fintech company in Latin America.
4MLOps	data inside the customer. The main project was maintain a home made solution to integrate HR data,
1Machine Learning Engineer	Implemented many ETL pipelines using Databricks workflows, AWS S3, Delta tables, and Redshift. One of them was an ETL to pull images from Google Street View API, pass them through an image classifier built using EfficientNet, visualize the results in a Tableau dashboard and save them into Redshift.
0Data Engineer	Defined and tracked progress of technical requirements gathered for a bank web application login component to enable loan data modification and visualization for businesses affected by COVID-19. Project was promoted by the UK government and was developed using Azure Active Directory B2C and Azure Devops to manage the different environments per each bank and pre-production stages.
1Machine Learning Engineer	Set up different data pipelines for multiple transport optimization tasks, and developed statistical techniques using R.
3Data Scientist	Created a model comparison visualisation graph that allowed stakeholders to monitor wellness of fit of the live population growth and production classification models.
2Data Analyst	Built impactful dashboards addressed to business stakeholders for them to make decisions based on key metrics of interest.
0Data Engineer	Performed general DBA duties for several SQL Server databases including backup and recovery, development of jobs to automate processes, managing user accounts, etc.
0Data Engineer	Created a three-layer data architecture consisting of raw, staging, and the data warehouse (related to the bronze, silver, and gold data layers) using buckets (AWS S3 and GCP cloud storage).
6Software Engineer	Worked with IoT sensor networks such as ZigBee, BLE and Wifi and programming languages such as Node JS and Java, and databases such as MongoDB.
4MLOps	Designed and deployed user experience improvements using feature flag approach with CICD pipelines.
0Data Engineer	Developed hundreds of EC2 instances running Kafka, Hadoop, and Cassandra to stream data from more than 2.5K databases to be processed by advanced analytics teams in a single relational database.
1Machine Learning Engineer	Managed databases for analytics platforms in Microsoft Azure.
2Data Analyst	Tutored students at the college and high school levels in multiple subjects such as Calculus, Linear Algebra, and Physics.
0Data Engineer	Designed and implemented a data extraction pipeline from both RDS and S3 for an AWS Redshift dimensional model. Built on Python, Spark, Airflow, Glue, SQL, and DBT.
3Data Scientist	Implemented predictive models using Dataiku and Python to improve fraud and cash management for one of the largest banks in Colombia.
4MLOps	Automated hand written and computer filled forms of bank transactions to maintain a low average first response time using RPA tools for optical character recognition (OCR) and computer vision.
1Machine Learning Engineer	Gathered data using web scraping with python from google images and Pinterest to create an image dataset and label it to use as a dataset to train an image classifier for internal proof of concept for a tech company specialized in software development.
1Machine Learning Engineer	Finetuned CLIP model to obtain similar images given a text or an image. Used Spotify’s Annoy library to perform approximate nearest neighbor search on the embeddings, and displayed the results in a frontend made with Streamlit.
0Data Engineer	• Made dashboards as a Business Intelligence developer for the sales department. • Implemented ETLs on Azure Data Factory, and performed database model building, BI reporting, and predictive analysis.
1Machine Learning Engineer	Developed client clustering data mining models using R to enable the third largest telecommunication company in Latin America to achieve more effective customer marketing via personalized value propositions.
1Machine Learning Engineer	Migrated the existing AWS infrastructure of a complex microservices system, comprising dockerized Python APIs, load balancers, and ECS services, to infrastructure as code using Terraform. This transformation resulted in an automated deployment process, enhancing documentation and reproducibility.
1Machine Learning Engineer	Designed, implemented, and led the international strategy that enabled to expand operations in the European market, which represented 8% of the revenue in 2021 for a civil engineering consultant company in Colombia.
0Data Engineer	Wrote scripts to migrate data between SQL Server databases and ensure data integrity.
0Data Engineer	Developed an optimization algorithm (rolling horizon with an embedded genetic algorithm) to minimize charging and battery degradation costs of an electric boat (paper under review by a journal).
0Data Engineer	Developed a turnstile system using Java programs deployed in Raspberry computers to gather data from Colombian ID cards and load it in the MySQL operational database.
0Data Engineer	Implemented integrations between Google Bigquery and Google Spreadsheets to programmatically serve different reports and tables.
3Data Scientist	Fine Tuned a transformer-based classifier for fake-news using HuggingFace. Deployed back-end and front-end into an instance in AWS EC2 with Docker compose. Set up the model monitoring logic to detect data covariate shift using AWS Batch as job executor and AWS EventBridge as job scheduler. Enabled an alarm that triggers with AWS SNS once a threshold of issues has been detected.
2Data Analyst	Designed and developed dashboards using BI tools.
0Data Engineer	Added liquibase to different projects to add the DB schema into the CICD pipelines in GitLab.
1Machine Learning Engineer	Designed, trained, and tested various machine learning models such as SVM, Linear Regression with splines kernel, Random Forest, and SARIMAX and ensemble them to optimize predictions for individual energy consumers.
0Data Engineer	Managed and implemented projects related to business intelligence models for companies in the USA.
1Machine Learning Engineer	Designed and implemented an explainable model for loan default prediction based on >1M samples and deployed it as a Dockerized API in AWS. Developed an EDA that extracted and joined data from multiple tables of a data lake to identify meaningful input variables to improve model performance and explainability.
4MLOps	writing application with a good design, unit tests that help application to be delivered continously and follow deployment status to other teams (security, performance, etc) and then final users.
2Data Analyst	Designed dashboards and reports for decision making, control, monitoring and search of business opportunities using Looker.
1Machine Learning Engineer	Designed and implemented a scheduler using Bash scripts to automate stored procedures in SQL, it enabled to reduce time by updating aggregated tables.
0Data Engineer	Created views, tables and models using Redash with defined key metrics to optimize data sources for dashboards, enabling reporting and monitoring for main business stakeholders.
1Machine Learning Engineer	Design and development of a machine learning system for identifying human traffickings cases in sexual ads. The system identified most risky advertisements in order to reduce law enforcement time spent in advertisements discovery and hence increasing the investigation phase.
3Data Scientist	Built a SIM card migration model using R and SQL to predict products next life cycle stage. The results enhanced the management team to make data-driven decisions to optimize revenue.
0Data Engineer	Developed data storage environments using Elasticsearch, PostgreSQL and AWS.
1Machine Learning Engineer	Performed data preprocessing of image and temperature data using statistical techniques using PCA and t-SNE to extract useful features for downstream classification.
0Data Engineer	Optimized a platform performance in terms of latency in processing by 15% by optimizing query time to internal data structures and their subsequent caching.
0Data Engineer	Deployed an ETL pipeline on Python and Microsoft SQL Server that processed debit card information to help discover the banks ATM usage and saved 10% on ATM maintenance costs by relocating unused ATMs.
0Data Engineer	Retrieved data from REST APIs using Python, AWS Lambda, Docker, AWS S3, AWS DynamoDB, AWS SNS, and AWS Step functions to generate automated reports.
0Data Engineer	Implemented key processes consisting of quality controls, quality assurances, ITIL methodologies, agile engineering methodologies, and production support services to assist production readiness. Tools included IBM Maximo Application Suite.
0Data Engineer	Created and maintained event-based ingestion and processing pipelines for audio and video using Lambda, SNS, S3 and EC2 on AWS.

0Data Engineer

ToolsTechnologies: Java, Google IOT, Pubsub, Cloud Functions, Bigquery, Postgres, GCS, Dataproc, Spark, Micronaut.

0Data Engineer

Collected, cleaned and prepared equipment and crew performance data to measure maintenance department’s KPIs that allowed the management teams to identify process improvements and design new approvals protocols; insights helped build a more efficient budget approval process.

1Machine Learning Engineer

Developed a Loan Default Prediction model for a Lending Club

0Data Engineer

Created an interactive Streamlit data application using Rivery to pull data from Google Forms and Snowflake databases to get insights about customers preferences.

3Data Scientist

Designed and developed SQL ETL pipelines orchestrated in Python as input for tree based Scikit-Learn, LightGBM and XGBoost machine learning models to predict credit scores for corporate clients.

0Data Engineer

Data Architecting and Engineering for Univision network, using GCP tools such as Composer, Dataflow, and Pubsub.

1Machine Learning Engineer

Built a one-stage object detector using the deep learning YOLOv4 model and served it through a Dockerized API deployed in AWS.

1Machine Learning Engineer

Reduced the detection missing rate in the test set from 1.25% to 0.00% and increased several segmentation metrics in the test set such as the dice score from 83.99% to 88.97% in a colon polyp detection and segmentation problem for an academic publication.

0Data Engineer

Worked on data processing, database optimization, automation scripting, monitoring platforms logs and health signs.

1Machine Learning Engineer

Led the team that finished 3rd in the Learn By Doing - NeurIPS 2021 competition, where we used control theory to develop controllers for complex dynamical systems.

1Machine Learning Engineer

Implemented a transfer learning pipeline, on Python with a Kubernetes GPU cluster, on the Pytorch Facebook ESM-1b transformer model to extract embeddings from the SARS-CoV-2 spike protein sequences to feed said embeddings to downstream tasks.

2Data Analyst

Updated daily dashboards to drive decisions in the investment process.

5Analytics Engineer

Integrated customer data sources and designed a model using SAP Business Warehouse, SQP DS and SQL to create a 360 customer view to help the salesforce team during the sales visits.

1Machine Learning Engineer

Developed a simulation tool for the future Intelligent Control course of the Artificial Intelligence Masters degree. Designed practical assignments for a future Machine Learning introductory course for the Biomedical Engineering department at one of the most prestigious private research universities in Colombia.

0Data Engineer

Product Owner and Front-End Architect for a proprietary web solution to manage automation projects leveraging GraphQL endpoints built on top of Lambda, S3 and DynamoDB.

1Machine Learning Engineer

Provided consultancy to government companies.

0Data Engineer

Implemented streaming data processing components.

0Data Engineer

Implemented Power BI dashboards for tracking eLearning compliance across three countries, leveraging an ETL to move data from an eLearning platform to SQL Server. This report improved compliance from 83% to 98% in a company with >1.000 new hires per month.

1Machine Learning Engineer

Implemented an accurate and efficient linear machine learning model to predict month-ahead energy consumption for 100,000+ clients, including households and industrial consumers for an energy trading company in Colombia, for better pricing decisions and outlier detection.

0Data Engineer

Designed and developed custom web tools for several companies in fields such as financial services, supply chain, construction, and IoT monitoring, among others.

1Machine Learning Engineer

Developed a solution to identify probable bank loan defaults using gradient-boosted tree models. Deployed a Docker containerized API via GitHub Actions on AWS ECS and stood up a server with MLFlow to automate model training.

1Machine Learning Engineer

Used alternating least squares for matrix factorization to encode clients preferences based on their transactional data, which enabled the designing and implementation of large-scale recommender systems to pair more than ten million clients with offers in national businesses, improving their experience by providing personalized recommendations. The model was built using the bank’s Cloudera data lake.

3Data Scientist

Assisted students and professors in operation of lab equipment (i.e, distillation column, heat exchangers, pumps) and supported students in process modeling and simulation.

5Analytics Engineer

Built reports and dashboards for tracking customer interactions and discovering insights based on behavioral and historical data.

3Data Scientist

Created ETL pipelines using tools from the Hadoop ecosystem, such as Hive and Spark, to process large amounts of data, transform raw data and generate consolidated information to support business decisions.

0Data Engineer

Led the design, implementation, and migration of a unified data warehouse for an Argentinian financial conglomerate to facilitate business intelligence, analytics, reporting, and decision-making across four subsidiaries. Tools used included SQL Server, SSIS, C, Python, and PowerBI.

1Machine Learning Engineer

Added new features and maintained a web application using Django REST framework and PostgreSQL to track and manage shipments for a logistics company.

0Data Engineer

Led the team as a developer to deliver maximum throughput to the client BT.

1Machine Learning Engineer

Trained interns in Python, SQL, data warehousedata mart, and data visualization techniques.

0Data Engineer

Used services such as Azure Cognitive.

0Data Engineer

Collected, cleaned, analyzed, and presented information from different data sources such as applications’ behavioral data, APIs, and multiple providers’ databases based on specific criteria using spreadsheets, Python, Pandas, and NumPy to provide relevant insights for an informed decision-making process for marketing, health & fitness, and nformation & technology services industries.

0Data Engineer

Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow, AWS Glue, Apache Spark, DBT, and SQL.

0Data Engineer

Assessed customer incidents following service level agreements through root cause analysis, impact analysis and setting remediation actions.

0Data Engineer

Defined data governance rules to integrate different data sources.

3Data Scientist

Performed panel data modeling and multivariate analysis using base and plm packages for R to model the relation between science and technology innovation and GDP of Ibero American countries. (Paper)

1Machine Learning Engineer

Processed and imported the model’s result from an S3 bucket to an ElasticSearch index, including adding scripted queries to the ElasticSearch pipeline for dynamic calculation of results.

0Data Engineer

Built the machine learning microservices architecture using AWS ECS, Docker, and Python, in order to provide the machine learning models real-time predictions.

0Data Engineer

Developed a data quality assessment report using AWS Lambda to generate a JSON output.

1Machine Learning Engineer

Improved performance, based on the precision metric, of the curb detection model by tuning its architecture for edge cases such as: curb occlusion due to snow or multiple parked vehicles, detection when the bus was on the farthest lane, multiple curbs in one image.

1Machine Learning Engineer

Classified forum questions (abovebelow median score) using deep-learning-based NLP models and mixing unstructured and structured features, trained the task with >1M data samples and applied explainability frameworks (Lime SHAP) to suggest improvements in the questions. The predictions and suggestions were served through a dockerized FastAPI application deployed in AWS Fargate.

0Data Engineer

Performed ETLELT to integrate data from various data sources to build data marts applying data cleansing and data analysis of service tickets across multiple channels using Python, SQL, and Spark.

3Data Scientist

Created several web scrapers using Selenium and Beautiful Soup to aid in the retrieval of publicly available information on legal cases.

1Machine Learning Engineer

Built an intermittent demand forecasting model in Python applying exponential smoothing and gradient boosting to predict sales in advance for the next 28 days for >30K different grocery references across multiple regions.

1Machine Learning Engineer

Built and deployed an algorithm to model customer purchasing behavior for the largest delivery platform in Latin America. The model was built using Random Forests and Gradient Boosting techniques with XGBoost Library. Also, implemented a monitoring scheme to keep track of performance over time.

3Data Scientist

Developed an automatic motion tracking system using ResNet models for validating contactless methods for assessing the motor system of the patients. Used Pytorch and ResNet models to train and test an automatic motion tracker system that captured the patients finger-tapping task for a university neurology school in the United States.

1Machine Learning Engineer

Sourced images, labels, and narratives from Open Images V7 and conducted exploratory data analysis to extract a smaller subset

1Machine Learning Engineer

Implemented backend and front-end frameworks to display credit default risk predictions and explainability using Stream-lit and LIMESHAP libraries.

1Machine Learning Engineer

Taught statistics, calculus, and algebra to college students.

0Data Engineer

Developed OLAP systems and designed C-Level dashboards for leading oil and gas companies in Latin America, such as Exxon mobil, Terpel, YPF, Shell, and Petrobras.

3Data Scientist

Led use case testing of a semi-automatic labeling tool developed by a world leading consulting company. Performed packing of source code and trainedvalidated data sets, assessed model output quality by comparing its performance metrics and error analysis over misclassified examples to identify failure causes and determine how to turn error analysis into model inputs. Iterations with different datasets helped to evaluate the computational capacity of the tool.

1Machine Learning Engineer

Developed and scored a fintech’s company equity model to rank order 100+s ETFs across several international financial markets.

0Data Engineer

Provided web and software development services to businesses in food and hospitality industries.

1Machine Learning Engineer

Worked as a major contributor (50%) of a data infrastructure project to crawl and analyze job descriptions from different APIs to gather insights about market trends regarding AI roles, using Apache Airflow as orchestrator.

0Data Engineer

Defined the operating model, roles (e.g. Data Owner, Data Steward, Chief Data Officer), and their functions including responsibilities for solving data quality issues, data catalog maintenance, and providing technical resources for the data governance strategy.

0Data Engineer

Built TiDB databases and table structures following Kafka event-driven architecture methodology to enable data flow within core apps to improve delivery, onboarding, ledger accounts and campaigns features and processes for a fintech company in Latin America.

4MLOps

data inside the customer. The main project was maintain a home made solution to integrate HR data,

1Machine Learning Engineer

Implemented many ETL pipelines using Databricks workflows, AWS S3, Delta tables, and Redshift. One of them was an ETL to pull images from Google Street View API, pass them through an image classifier built using EfficientNet, visualize the results in a Tableau dashboard and save them into Redshift.

0Data Engineer

Defined and tracked progress of technical requirements gathered for a bank web application login component to enable loan data modification and visualization for businesses affected by COVID-19. Project was promoted by the UK government and was developed using Azure Active Directory B2C and Azure Devops to manage the different environments per each bank and pre-production stages.

1Machine Learning Engineer

Set up different data pipelines for multiple transport optimization tasks, and developed statistical techniques using R.

3Data Scientist

Created a model comparison visualisation graph that allowed stakeholders to monitor wellness of fit of the live population growth and production classification models.

2Data Analyst

Built impactful dashboards addressed to business stakeholders for them to make decisions based on key metrics of interest.

0Data Engineer

Performed general DBA duties for several SQL Server databases including backup and recovery, development of jobs to automate processes, managing user accounts, etc.

0Data Engineer

Created a three-layer data architecture consisting of raw, staging, and the data warehouse (related to the bronze, silver, and gold data layers) using buckets (AWS S3 and GCP cloud storage).

6Software Engineer

Worked with IoT sensor networks such as ZigBee, BLE and Wifi and programming languages such as Node JS and Java, and databases such as MongoDB.

4MLOps

Designed and deployed user experience improvements using feature flag approach with CICD pipelines.

0Data Engineer

Developed hundreds of EC2 instances running Kafka, Hadoop, and Cassandra to stream data from more than 2.5K databases to be processed by advanced analytics teams in a single relational database.

1Machine Learning Engineer

Managed databases for analytics platforms in Microsoft Azure.

2Data Analyst

Tutored students at the college and high school levels in multiple subjects such as Calculus, Linear Algebra, and Physics.

0Data Engineer

Designed and implemented a data extraction pipeline from both RDS and S3 for an AWS Redshift dimensional model. Built on Python, Spark, Airflow, Glue, SQL, and DBT.

3Data Scientist

Implemented predictive models using Dataiku and Python to improve fraud and cash management for one of the largest banks in Colombia.

4MLOps

Automated hand written and computer filled forms of bank transactions to maintain a low average first response time using RPA tools for optical character recognition (OCR) and computer vision.

1Machine Learning Engineer

Gathered data using web scraping with python from google images and Pinterest to create an image dataset and label it to use as a dataset to train an image classifier for internal proof of concept for a tech company specialized in software development.

1Machine Learning Engineer

Finetuned CLIP model to obtain similar images given a text or an image. Used Spotify’s Annoy library to perform approximate nearest neighbor search on the embeddings, and displayed the results in a frontend made with Streamlit.

0Data Engineer

• Made dashboards as a Business Intelligence developer for the sales department. • Implemented ETLs on Azure Data Factory, and performed database model building, BI reporting, and predictive analysis.

1Machine Learning Engineer

Developed client clustering data mining models using R to enable the third largest telecommunication company in Latin America to achieve more effective customer marketing via personalized value propositions.

1Machine Learning Engineer

Migrated the existing AWS infrastructure of a complex microservices system, comprising dockerized Python APIs, load balancers, and ECS services, to infrastructure as code using Terraform. This transformation resulted in an automated deployment process, enhancing documentation and reproducibility.

1Machine Learning Engineer

Designed, implemented, and led the international strategy that enabled to expand operations in the European market, which represented 8% of the revenue in 2021 for a civil engineering consultant company in Colombia.

0Data Engineer

Wrote scripts to migrate data between SQL Server databases and ensure data integrity.

0Data Engineer

Developed an optimization algorithm (rolling horizon with an embedded genetic algorithm) to minimize charging and battery degradation costs of an electric boat (paper under review by a journal).

0Data Engineer

Developed a turnstile system using Java programs deployed in Raspberry computers to gather data from Colombian ID cards and load it in the MySQL operational database.

0Data Engineer

Implemented integrations between Google Bigquery and Google Spreadsheets to programmatically serve different reports and tables.

3Data Scientist

Fine Tuned a transformer-based classifier for fake-news using HuggingFace. Deployed back-end and front-end into an instance in AWS EC2 with Docker compose. Set up the model monitoring logic to detect data covariate shift using AWS Batch as job executor and AWS EventBridge as job scheduler. Enabled an alarm that triggers with AWS SNS once a threshold of issues has been detected.

2Data Analyst

Designed and developed dashboards using BI tools.

0Data Engineer

Added liquibase to different projects to add the DB schema into the CICD pipelines in GitLab.

1Machine Learning Engineer

Designed, trained, and tested various machine learning models such as SVM, Linear Regression with splines kernel, Random Forest, and SARIMAX and ensemble them to optimize predictions for individual energy consumers.

0Data Engineer

Managed and implemented projects related to business intelligence models for companies in the USA.

1Machine Learning Engineer

Designed and implemented an explainable model for loan default prediction based on >1M samples and deployed it as a Dockerized API in AWS. Developed an EDA that extracted and joined data from multiple tables of a data lake to identify meaningful input variables to improve model performance and explainability.

4MLOps

writing application with a good design, unit tests that help application to be delivered continously and follow deployment status to other teams (security, performance, etc) and then final users.

2Data Analyst

Designed dashboards and reports for decision making, control, monitoring and search of business opportunities using Looker.

1Machine Learning Engineer

Designed and implemented a scheduler using Bash scripts to automate stored procedures in SQL, it enabled to reduce time by updating aggregated tables.

0Data Engineer

Created views, tables and models using Redash with defined key metrics to optimize data sources for dashboards, enabling reporting and monitoring for main business stakeholders.

1Machine Learning Engineer

Design and development of a machine learning system for identifying human traffickings cases in sexual ads. The system identified most risky advertisements in order to reduce law enforcement time spent in advertisements discovery and hence increasing the investigation phase.

3Data Scientist

Built a SIM card migration model using R and SQL to predict products next life cycle stage. The results enhanced the management team to make data-driven decisions to optimize revenue.

0Data Engineer

Developed data storage environments using Elasticsearch, PostgreSQL and AWS.

1Machine Learning Engineer

Performed data preprocessing of image and temperature data using statistical techniques using PCA and t-SNE to extract useful features for downstream classification.

0Data Engineer

Optimized a platform performance in terms of latency in processing by 15% by optimizing query time to internal data structures and their subsequent caching.

0Data Engineer

Deployed an ETL pipeline on Python and Microsoft SQL Server that processed debit card information to help discover the banks ATM usage and saved 10% on ATM maintenance costs by relocating unused ATMs.

0Data Engineer

Retrieved data from REST APIs using Python, AWS Lambda, Docker, AWS S3, AWS DynamoDB, AWS SNS, and AWS Step functions to generate automated reports.

0Data Engineer

Implemented key processes consisting of quality controls, quality assurances, ITIL methodologies, agile engineering methodologies, and production support services to assist production readiness. Tools included IBM Maximo Application Suite.

0Data Engineer

Created and maintained event-based ingestion and processing pipelines for audio and video using Lambda, SNS, S3 and EC2 on AWS.