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

labels class label 7 classes	text stringlengths 19 772
2Data Analyst	Introduction to Data Analysis with Python: Taught the basic concepts of exploratory data analysis and web scraping in Python.
3Data Scientist	Implemented hand-written vowel recognition functionalities applying deep learning and the humanoid robot Darwin-OP, and movement recognition and imitation using the humanoid robot DARwIn-OP and Xbox Kinect.
3Data Scientist	Modeled products for matching and price recommendation using TensorFlow.
0Data Engineer	Built a data warehouse (star schema, dimensional modeling) and a data lake for a big retail company, using tools such as Redshift, S3, Python, and Alteryx. Assumed responsibility for the design, development and maintenance of data pipelines to feed the data warehouse, therefore participated actively in architectural decisions and data modeling.
0Data Engineer	Created executive reporting and dashboards with Power BI and Tableau.
3Data Scientist	Designed and implemented machine learning algorithms to manage large volumes of data from the Colombia National Planning Department.
1Machine Learning Engineer	Tuned and deployed a Pytorch Hugging Face text classification model in an EC2 instance. Deployed a monitoring and reporting layer that performed periodic checks via AWS Eventbridge and AWS Batch, with results reported in AWS SNS.
1Machine Learning Engineer	Built a Power BI dashboard to enable presentations to stakeholders while access to real-time data.
0Data Engineer	Partnered with customer service team leaders to design and build self-service data interfaces and dashboards to democratize business critical data and enable faster and better informed decisions using Flask and PowerBI on top of BigQuery.
0Data Engineer	Worked with Airflow for orchestration and Spark for data processing.
1Machine Learning Engineer	Implemented ETL pipeline using Boto3, Pandas, and Scikit-learn
0Data Engineer	Analyze, design and implement a monitor for the material discharge hoppers in the packing area using BPM Metastorm, .NET and SQL Server.
0Data Engineer	• Administration of BI tool MicroStrategy. • Planning and proposal of BI projects Near Real Time data in COVID-19 . • Developing products under Java, Python and cloud technologies. • Developing cubes based in Oracle Business Warehouse. • Configuration and administration of AWS Servers for ecommerce site on the corporation. • R&D for products to offer business. • Configuration and optimization of BI processes under Oracle Warehouse Builder. • Implementation of data QA environments to optimize data to users.
3Data Scientist	Built dashboards and visualizations to support investments.
2Data Analyst	Built reports and dashboards to track customer interactions and discover insights based on behavioral and historical data.
0Data Engineer	Designed and developed an Audit, Balance, and Control (ABC) framework leveraging Spark Listeners to provide operational insights, observability, and reliability to DatabricksSpark streaming and batch jobs across multiple pipelines for a top worldwide consulting company. Metadata and runtime metrics were captured by an Audit module and used by a Balance module to compare against SLO’s and determine the health of a given pipeline. Applied corrective actions to reconcile damaged pipelines whenever the Control module generated an alert.
4MLOps	people across the state.
1Machine Learning Engineer	Built data pipelines using Spark on AWS EMR and feature engineering for a state-of-the-art recommender system, which was accepted and ranked 6 in the ACM RecSys 2020 challenge.
1Machine Learning Engineer	Worked on different projects related to customer service enhancement, RTB, churn anticipation, automatic model generation, feature importance analysis, customer segmentation, trend forecasting, Excel models migration, requestspredictions parallelization, concept analysis from unstructured text, satellite images augmentation, and image classification, as well as MLOps tasks for 3 client companies in the U.S. and Latam.
0Data Engineer	Adapted the Fraud Infrastructure to adopt some concepts of the Data Mesh paradigm that helped to WHAT WAS THE PURPOSE using WHAT TOOLS.
1Machine Learning Engineer	Gave tutoring spaces for the development of projects and theory explanations.
0Data Engineer	Built a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow, AWS Glue, AWS EC2, Apache Spark, DBT, and SQL.
1Machine Learning Engineer	Monitored the daily model runs to ensure that the newest data and features would not have a negative impact on the models as well as to make sure that the output of the models was available for the different internal applications that needed them.
2Data Analyst	Oversaw IT project with BI scope.
1Machine Learning Engineer	Stack: Python, Spark, SQL, Databricks, Delta Lake, Koalas, MLFlow, Cloudera, Azure e Google Cloud.
2Data Analyst	Conducted what-if scenario and exploratory data analyses on B2C databases using MS SQL Server, and time series forecasting using RRStudio to support strategic initiatives inside the company.
3Data Scientist	Implemented a prepaid SIM card fraud predictive model using tree-based models in R for a communication and entertainment group in Portugal. Performed descriptive data analysis using Oracle SQL developer to understand data, validate business understanding and manage data quality issues.
0Data Engineer	Built a segmentation model using Python and ML libraries (scikit-learn) based on inactive customers’ historical behavior that enabled management to design data-driven marketing strategies and generate differential communications for each segment defined.
0Data Engineer	Engaged in production and support as Tier-1 for monitoring & fixing failures in applications within a minimum time frame to prevent breaches of SL Big Data warehouse for Multiple applications for different vendors.
0Data Engineer	Studied magnetic anisotropy in thin films of ferromagnetic materials in order to manufacture a more stable SSD (Solid State Drive). Automated the experiments and data collection with C++ and LabView.
0Data Engineer	Consulted on tech and growth strategy for internal firms of the venture as well as external startups.
4MLOps	Helped to grow and expand the business to other markets, revolutionizing credit by using its AI-powered score system to bring credit to those who need it but are not considered in formal banking.
1Machine Learning Engineer	Managed and implemented storage and servers.
3Data Scientist	Created a high potential customer identification and prediction models through random forest modeling using Python, Pandas, Numpy,Scikit-Learn, Alteryx, and created Tableau dashboards.
0Data Engineer	Worked with a multidisciplinary team on the development of a machine learning assembly method that uses clinical and sociodemographic data from patients to increase the efficiency of COVID-19 testing. The research was published in Scientific Reports open access journal from the publishers of Nature.
2Data Analyst	Planned and executed projects to drive reduction of production costs.
1Machine Learning Engineer	Generated monthly reports (credit risk, liquid risk, etc.) to detail changes to the risk management database. Gathered data via SAS and Apache Impala with reports generated in Power BI and Excel.
1Machine Learning Engineer	Taught physics and mathematics classes to high school students.
2Data Analyst	Designed Dashboards and reports for decision making, control, monitoring, process support, and search of business opportunities combining several tools such as PowerBI, Python, SQL, Power Apps, Power Automate, SharePoint, and Excel.
2Data Analyst	Developed a data quality report for the Education Industry using QlikSense.
0Data Engineer	Implemented ML models applying LightGBM and XGBoost tree-based algorithms to detect churn prevention, enabling the Customer Value Management (CVM) team of a telecommunications company to target clients, improve performance and reduce costs on retention campaigns.
1Machine Learning Engineer	Fixed GPU compatibility issues of a model written in Tensorflow 1.4 that allowed the use of modern Nvidia Ampere graphics cards to speed up the execution time of the model.
3Data Scientist	Designed a web page for a tire, spare parts, and car wash store using HTML, CSS and JavaScript to allow customers to make online purchases. The website was connected to Vtex on the backend.
1Machine Learning Engineer	Developed the integration of MLCube with DataPerf, a benchmark suite for ML datasets and data-centric algorithms.
2Data Analyst	Created 8 new reporting solutions using MS SQL Server and RRStudio to improve credit sales & fidelization activities for 23 banking and insurance institutions inside the Venezuelan financial system advised by Experian, a leading global information services company in data analytics.
0Data Engineer	Administered SAP BusinessObjects BI Platform and SAP BusinessObjects Strategy Management architecture and their interactions with several information systems, which provide data for production data warehouses of one of Colombia’s biggest government banks.
0Data Engineer	Designed different mobile applications for customer notifications in real-time for a large Chilean security company.
3Data Scientist	Built a clusterization model using BigQuery, Python, Apache Beam and Airflow, and applied time series analysis to determine groups of types of careers based on historic monthly salaries of millions of customers (wages over ten years per person) of the pension fund.
6Software Engineer	Created custom software tools that helped an architectural design firm to create high-end buildings for a modern and social center in Colombia.
2Data Analyst	Developed a managerial dashboard using PowerBI, including an automated process to send daily email snapshot reports to business stakeholders of a global banking institution. These analyzes helped significantly increase the banks online media revenue and the team even received a prize for them.
0Data Engineer	Loaded and extracted data using AWS S3, SNS, and Snowpipe to load data into Snowflake. Implemented table streams to capture changes in data, as well as Snowflake tasks to perform transformations into a dimensional model to answer business questions and insights for an E-commerce.
0Data Engineer	Designed and built a Data Warehouse following Kimball’s data modeling technique and the modular data modeling technique using DBT and SQL.
0Data Engineer	Learned to efficiently pitch and present our idea to potential investors.
0Data Engineer	Completed a bibliometric analysis about data and text mining techniques from scientific literature creating a compendium that became the basis for future investigations about data analysis.
3Data Scientist	Designed green taxes and energy policies to secure Colombias nationally determined contributions to be met in 2030 as part of the Paris Climate Agreement. Conducted computable general equilibrium (GCE) and micro-simulation models to evaluate the economic impacts of possible policy agendas, and generated insights on the fiscal structure of the energy sector in Colombia.
1Machine Learning Engineer	Developed classroom projectsworkshops using R.
1Machine Learning Engineer	Tools: Cloudera, Spark, Python, Hadoop, Hive, HDFS, DB2, SQLite, GitGitLab, Power BI, Linux, Shell Script.
3Data Scientist	Created and applied a calculation of customer lifetime value (CLV) model to predict future cash flows using Alteryx. This allowed to better understand customer segments taking into account future expected return and expected time to keep each customer.
0Data Engineer	Deployed an Azure and Snowflake solution that extracts processed information from PROS systems and stores it into a customer’s Snowflake platform to enable pricing impact analysis for a diversified manufacturing and technology company.
0Data Engineer	Deployed several Control-M data workflows and automated creation of XML that defines the workflow using Python, RegEx and Pandas.
1Machine Learning Engineer	Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset. Deployed a dockerized API in AWS ECS of the selected model integrated with an explainability framework.
1Machine Learning Engineer	Integrated information from various sources in a data warehouse.
2Data Analyst	Implemented dashboards using Domo to measure KPIs (customer acquisition cost and lifetime value, NPS, etc.) based on CRM and financial data to allow finance, customer success and marketing departments to enable data-driven decision making.
2Data Analyst	Implemented better statistical practices among the different dependencies of the mayoralty.
3Data Scientist	Acted as the head of the data visualization project for Altipal, moderating the operation for publishing insightful dashboards built in Tableau.
0Data Engineer	Developed and deployed a data pipeline that scraps LinkedIn queries using Python, SQL, Bash, AWS RDS, Pandas, AWS Lambda, AWS Step functions, dbt, Great Expectations and Github Actions to feed visualizations based on the US tech labor market that enable analytics and insight for sales teams.
0Data Engineer	Refactored and improved the code in order to make it scalable and easy to maintain.
1Machine Learning Engineer	Development of filters in order to show users the most related professions according to their vocational test results.
3Data Scientist	Developed classroom projectsworkshops using R.
0Data Engineer	Created and maintained a data catalog of data sources related to customer interactions on assisted and digital channels with their respective ETL pipelines using Splunk (API and Query Language), SQL, and BigQuery automated with Airflow.
2Data Analyst	Developed high-level workflow, product documentation, QA for IT solutions, and data integrity analysis using Excel, Visio, Project, Google Workspace, and MySQL.
1Machine Learning Engineer	Implemented image detection and classification architectures such as YOLOv4, MobileDet, and MobilNet. Served them as dockerized APIs on AWS.
0Data Engineer	Developed a benchmarking and profiling analysis of query engine methods using Python to test, compare and optimize processing times on a ML-Ops framework.
2Data Analyst	Built reports and dashboards with BI tools.
1Machine Learning Engineer	Developed NLP algorithms using probabilistic methods and transformer encodings to parse text scraped from the web for a talent matching application. Deployed algorithms on AWS Lambda as dockerized FastAPI apps.
0Data Engineer	Led the development of a soccer match outcome forecasting method for sports analytics using ConvNets.
1Machine Learning Engineer	Developed a testing application for the assessment of candidates and employees.
1Machine Learning Engineer	Implemented state-of-the-art deep learning models, such as YOLOR, AdaFace, and RetinaFace, using PyTorch and TensorFlow to extract information from surveillance videos. The goal was to reduce the amount of footage that human agents had to review to provide 247 remote surveillance services. The system successfully reduced the total amount of content that humans had to review by 18%.
0Data Engineer	Built and deployed REST APIs microservices using Fast API and Flask to get and make data available by HTTP requests.
1Machine Learning Engineer	Trained a multi-label text classification transformer based model (ELECTRA) using Pytorch Lightning, and researched state-of-the-art techniques that helped reach a high performance model with 94% validation accuracy when classifying a text into one of 19 different categories.
0Data Engineer	Proposed internal documentation platform, worked on docs & guides to speed up developer onboarding.
1Machine Learning Engineer	Deployed periodic ML model retraining and monitoring, which enabled automatic case classification and sentiment analysis available in the CRM of a furniture brand.
0Data Engineer	Built interactive and predictive financial models for multiple clients to enable C-suite executives to forecast and prioritize the impact of business initiatives in various scenarios.
2Data Analyst	Using geographical dashboards in Tableau, new potential expansion zones were found for the company.
1Machine Learning Engineer	Created an AutoML SDK that packages different MetaLearning algorithms (hyperparameter tuning, adversarial techniques, synthetic data generation, self-supervised learning, neural style transfer and domain adaptation) using Python, Tensorflow, AWS Lambda, AWS EC2, AWS S3 to improve computer vision tasks and performance on deep learning models, reducing the amount of effort required from a developer to train a model. Improved model accuracy by 10% on average, reduced developer cycles, and shortened deployment time by up to 50%.
0Data Engineer	Implemented machine learning models to prevent money laundering.
0Data Engineer	Collaborated in the implementation of a data warehouse for ETL processes using Terraform, PostgreSQL, AWS Glue, Pyspark, S3, RDS and Airflow for a credit risk business case.
0Data Engineer	Led analysis of social network data extracted from Twitter API using the networkX library to identify influencers as part of the bank’s efforts to improve their public image.
0Data Engineer	Manually generated test data for an e-learning web application’s ML model that evaluated a users environmental conditions to determine if the user’s academic content (video, audio, or bookarticle) was optimal under those conditions.
0Data Engineer	Built solutions using PySpark and AWS EMR to extract data from a data lake for storage in AWS S3 for use in machine learning models.
4MLOps	with government, programs to decrease debts, increase transparency, deliver information, decrease
0Data Engineer	Lectured and assisted students during practical and theoretical laboratory sessions for learning programming with C language.
2Data Analyst	Designed and developed dashboards using BI tools.
0Data Engineer	Led a team of 4 engineers responsible for building the data platform to support an energy management customers requirements for the medium-long term.
1Machine Learning Engineer	Tools: GCP, AWS, Azure, Databricks, Spark, SQL, Python, Airflow, DBT, Docker
0Data Engineer	Developed with a team an IOT payment device
0Data Engineer	Implemented data processing jobs to move data between data lake zones using Python, AWS Glue, and Apache Spark.
1Machine Learning Engineer	Developed an end-to-end Machine Learning Solution using Python, Transformers, and Fast API to create an NLP assistant to help users on writing better questions in online forums such as Stack Overflow questions. Classified forum questions 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	Built and maintained data mining processes in JavaScript to analyze competitors’ offers, promotions and strategies. Also developed the ETLs required to support the data mining process, using AWS Kinesis and Apache Spark for transferring vast volumes of data, Python and BigQuery for data transformation and orchestrating everything in a custom AirFlow build for Mercado libre.
0Data Engineer	Developed and maintained new functionalities for the payment transactional platforms.

2Data Analyst

Introduction to Data Analysis with Python: Taught the basic concepts of exploratory data analysis and web scraping in Python.

3Data Scientist

Implemented hand-written vowel recognition functionalities applying deep learning and the humanoid robot Darwin-OP, and movement recognition and imitation using the humanoid robot DARwIn-OP and Xbox Kinect.

3Data Scientist

Modeled products for matching and price recommendation using TensorFlow.

0Data Engineer

Built a data warehouse (star schema, dimensional modeling) and a data lake for a big retail company, using tools such as Redshift, S3, Python, and Alteryx. Assumed responsibility for the design, development and maintenance of data pipelines to feed the data warehouse, therefore participated actively in architectural decisions and data modeling.

0Data Engineer

Created executive reporting and dashboards with Power BI and Tableau.

3Data Scientist

Designed and implemented machine learning algorithms to manage large volumes of data from the Colombia National Planning Department.

1Machine Learning Engineer

Tuned and deployed a Pytorch Hugging Face text classification model in an EC2 instance. Deployed a monitoring and reporting layer that performed periodic checks via AWS Eventbridge and AWS Batch, with results reported in AWS SNS.

1Machine Learning Engineer

Built a Power BI dashboard to enable presentations to stakeholders while access to real-time data.

0Data Engineer

Partnered with customer service team leaders to design and build self-service data interfaces and dashboards to democratize business critical data and enable faster and better informed decisions using Flask and PowerBI on top of BigQuery.

0Data Engineer

Worked with Airflow for orchestration and Spark for data processing.

1Machine Learning Engineer

Implemented ETL pipeline using Boto3, Pandas, and Scikit-learn

0Data Engineer

Analyze, design and implement a monitor for the material discharge hoppers in the packing area using BPM Metastorm, .NET and SQL Server.

0Data Engineer

• Administration of BI tool MicroStrategy. • Planning and proposal of BI projects Near Real Time data in COVID-19 . • Developing products under Java, Python and cloud technologies. • Developing cubes based in Oracle Business Warehouse. • Configuration and administration of AWS Servers for ecommerce site on the corporation. • R&D for products to offer business. • Configuration and optimization of BI processes under Oracle Warehouse Builder. • Implementation of data QA environments to optimize data to users.

3Data Scientist

Built dashboards and visualizations to support investments.

2Data Analyst

Built reports and dashboards to track customer interactions and discover insights based on behavioral and historical data.

0Data Engineer

Designed and developed an Audit, Balance, and Control (ABC) framework leveraging Spark Listeners to provide operational insights, observability, and reliability to DatabricksSpark streaming and batch jobs across multiple pipelines for a top worldwide consulting company. Metadata and runtime metrics were captured by an Audit module and used by a Balance module to compare against SLO’s and determine the health of a given pipeline. Applied corrective actions to reconcile damaged pipelines whenever the Control module generated an alert.

4MLOps

people across the state.

1Machine Learning Engineer

Built data pipelines using Spark on AWS EMR and feature engineering for a state-of-the-art recommender system, which was accepted and ranked 6 in the ACM RecSys 2020 challenge.

1Machine Learning Engineer

Worked on different projects related to customer service enhancement, RTB, churn anticipation, automatic model generation, feature importance analysis, customer segmentation, trend forecasting, Excel models migration, requestspredictions parallelization, concept analysis from unstructured text, satellite images augmentation, and image classification, as well as MLOps tasks for 3 client companies in the U.S. and Latam.

0Data Engineer

Adapted the Fraud Infrastructure to adopt some concepts of the Data Mesh paradigm that helped to WHAT WAS THE PURPOSE using WHAT TOOLS.

1Machine Learning Engineer

Gave tutoring spaces for the development of projects and theory explanations.

0Data Engineer

Built a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow, AWS Glue, AWS EC2, Apache Spark, DBT, and SQL.

1Machine Learning Engineer

Monitored the daily model runs to ensure that the newest data and features would not have a negative impact on the models as well as to make sure that the output of the models was available for the different internal applications that needed them.

2Data Analyst

Oversaw IT project with BI scope.

1Machine Learning Engineer

Stack: Python, Spark, SQL, Databricks, Delta Lake, Koalas, MLFlow, Cloudera, Azure e Google Cloud.

2Data Analyst

Conducted what-if scenario and exploratory data analyses on B2C databases using MS SQL Server, and time series forecasting using RRStudio to support strategic initiatives inside the company.

3Data Scientist

Implemented a prepaid SIM card fraud predictive model using tree-based models in R for a communication and entertainment group in Portugal. Performed descriptive data analysis using Oracle SQL developer to understand data, validate business understanding and manage data quality issues.

0Data Engineer

Built a segmentation model using Python and ML libraries (scikit-learn) based on inactive customers’ historical behavior that enabled management to design data-driven marketing strategies and generate differential communications for each segment defined.

0Data Engineer

Engaged in production and support as Tier-1 for monitoring & fixing failures in applications within a minimum time frame to prevent breaches of SL Big Data warehouse for Multiple applications for different vendors.

0Data Engineer

Studied magnetic anisotropy in thin films of ferromagnetic materials in order to manufacture a more stable SSD (Solid State Drive). Automated the experiments and data collection with C++ and LabView.

0Data Engineer

Consulted on tech and growth strategy for internal firms of the venture as well as external startups.

4MLOps

Helped to grow and expand the business to other markets, revolutionizing credit by using its AI-powered score system to bring credit to those who need it but are not considered in formal banking.

1Machine Learning Engineer

Managed and implemented storage and servers.

3Data Scientist

Created a high potential customer identification and prediction models through random forest modeling using Python, Pandas, Numpy,Scikit-Learn, Alteryx, and created Tableau dashboards.

0Data Engineer

Worked with a multidisciplinary team on the development of a machine learning assembly method that uses clinical and sociodemographic data from patients to increase the efficiency of COVID-19 testing. The research was published in Scientific Reports open access journal from the publishers of Nature.

2Data Analyst

Planned and executed projects to drive reduction of production costs.

1Machine Learning Engineer

Generated monthly reports (credit risk, liquid risk, etc.) to detail changes to the risk management database. Gathered data via SAS and Apache Impala with reports generated in Power BI and Excel.

1Machine Learning Engineer

Taught physics and mathematics classes to high school students.

2Data Analyst

Designed Dashboards and reports for decision making, control, monitoring, process support, and search of business opportunities combining several tools such as PowerBI, Python, SQL, Power Apps, Power Automate, SharePoint, and Excel.

2Data Analyst

Developed a data quality report for the Education Industry using QlikSense.

0Data Engineer

Implemented ML models applying LightGBM and XGBoost tree-based algorithms to detect churn prevention, enabling the Customer Value Management (CVM) team of a telecommunications company to target clients, improve performance and reduce costs on retention campaigns.

1Machine Learning Engineer

Fixed GPU compatibility issues of a model written in Tensorflow 1.4 that allowed the use of modern Nvidia Ampere graphics cards to speed up the execution time of the model.

3Data Scientist

Designed a web page for a tire, spare parts, and car wash store using HTML, CSS and JavaScript to allow customers to make online purchases. The website was connected to Vtex on the backend.

1Machine Learning Engineer

Developed the integration of MLCube with DataPerf, a benchmark suite for ML datasets and data-centric algorithms.

2Data Analyst

Created 8 new reporting solutions using MS SQL Server and RRStudio to improve credit sales & fidelization activities for 23 banking and insurance institutions inside the Venezuelan financial system advised by Experian, a leading global information services company in data analytics.

0Data Engineer

Administered SAP BusinessObjects BI Platform and SAP BusinessObjects Strategy Management architecture and their interactions with several information systems, which provide data for production data warehouses of one of Colombia’s biggest government banks.

0Data Engineer

Designed different mobile applications for customer notifications in real-time for a large Chilean security company.

3Data Scientist

Built a clusterization model using BigQuery, Python, Apache Beam and Airflow, and applied time series analysis to determine groups of types of careers based on historic monthly salaries of millions of customers (wages over ten years per person) of the pension fund.

6Software Engineer

Created custom software tools that helped an architectural design firm to create high-end buildings for a modern and social center in Colombia.

2Data Analyst

Developed a managerial dashboard using PowerBI, including an automated process to send daily email snapshot reports to business stakeholders of a global banking institution. These analyzes helped significantly increase the banks online media revenue and the team even received a prize for them.

0Data Engineer

Loaded and extracted data using AWS S3, SNS, and Snowpipe to load data into Snowflake. Implemented table streams to capture changes in data, as well as Snowflake tasks to perform transformations into a dimensional model to answer business questions and insights for an E-commerce.

0Data Engineer

Designed and built a Data Warehouse following Kimball’s data modeling technique and the modular data modeling technique using DBT and SQL.

0Data Engineer

Learned to efficiently pitch and present our idea to potential investors.

0Data Engineer

Completed a bibliometric analysis about data and text mining techniques from scientific literature creating a compendium that became the basis for future investigations about data analysis.

3Data Scientist

Designed green taxes and energy policies to secure Colombias nationally determined contributions to be met in 2030 as part of the Paris Climate Agreement. Conducted computable general equilibrium (GCE) and micro-simulation models to evaluate the economic impacts of possible policy agendas, and generated insights on the fiscal structure of the energy sector in Colombia.

1Machine Learning Engineer

Developed classroom projectsworkshops using R.

1Machine Learning Engineer

Tools: Cloudera, Spark, Python, Hadoop, Hive, HDFS, DB2, SQLite, GitGitLab, Power BI, Linux, Shell Script.

3Data Scientist

Created and applied a calculation of customer lifetime value (CLV) model to predict future cash flows using Alteryx. This allowed to better understand customer segments taking into account future expected return and expected time to keep each customer.

0Data Engineer

Deployed an Azure and Snowflake solution that extracts processed information from PROS systems and stores it into a customer’s Snowflake platform to enable pricing impact analysis for a diversified manufacturing and technology company.

0Data Engineer

Deployed several Control-M data workflows and automated creation of XML that defines the workflow using Python, RegEx and Pandas.

1Machine Learning Engineer

Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset. Deployed a dockerized API in AWS ECS of the selected model integrated with an explainability framework.

1Machine Learning Engineer

Integrated information from various sources in a data warehouse.

2Data Analyst

Implemented dashboards using Domo to measure KPIs (customer acquisition cost and lifetime value, NPS, etc.) based on CRM and financial data to allow finance, customer success and marketing departments to enable data-driven decision making.

2Data Analyst

Implemented better statistical practices among the different dependencies of the mayoralty.

3Data Scientist

Acted as the head of the data visualization project for Altipal, moderating the operation for publishing insightful dashboards built in Tableau.

0Data Engineer

Developed and deployed a data pipeline that scraps LinkedIn queries using Python, SQL, Bash, AWS RDS, Pandas, AWS Lambda, AWS Step functions, dbt, Great Expectations and Github Actions to feed visualizations based on the US tech labor market that enable analytics and insight for sales teams.

0Data Engineer

Refactored and improved the code in order to make it scalable and easy to maintain.

1Machine Learning Engineer

Development of filters in order to show users the most related professions according to their vocational test results.

3Data Scientist

Developed classroom projectsworkshops using R.

0Data Engineer

Created and maintained a data catalog of data sources related to customer interactions on assisted and digital channels with their respective ETL pipelines using Splunk (API and Query Language), SQL, and BigQuery automated with Airflow.

2Data Analyst

Developed high-level workflow, product documentation, QA for IT solutions, and data integrity analysis using Excel, Visio, Project, Google Workspace, and MySQL.

1Machine Learning Engineer

Implemented image detection and classification architectures such as YOLOv4, MobileDet, and MobilNet. Served them as dockerized APIs on AWS.

0Data Engineer

Developed a benchmarking and profiling analysis of query engine methods using Python to test, compare and optimize processing times on a ML-Ops framework.

2Data Analyst

Built reports and dashboards with BI tools.

1Machine Learning Engineer

Developed NLP algorithms using probabilistic methods and transformer encodings to parse text scraped from the web for a talent matching application. Deployed algorithms on AWS Lambda as dockerized FastAPI apps.

0Data Engineer

Led the development of a soccer match outcome forecasting method for sports analytics using ConvNets.

1Machine Learning Engineer

Developed a testing application for the assessment of candidates and employees.

1Machine Learning Engineer

Implemented state-of-the-art deep learning models, such as YOLOR, AdaFace, and RetinaFace, using PyTorch and TensorFlow to extract information from surveillance videos. The goal was to reduce the amount of footage that human agents had to review to provide 247 remote surveillance services. The system successfully reduced the total amount of content that humans had to review by 18%.

0Data Engineer

Built and deployed REST APIs microservices using Fast API and Flask to get and make data available by HTTP requests.

1Machine Learning Engineer

Trained a multi-label text classification transformer based model (ELECTRA) using Pytorch Lightning, and researched state-of-the-art techniques that helped reach a high performance model with 94% validation accuracy when classifying a text into one of 19 different categories.

0Data Engineer

Proposed internal documentation platform, worked on docs & guides to speed up developer onboarding.

1Machine Learning Engineer

Deployed periodic ML model retraining and monitoring, which enabled automatic case classification and sentiment analysis available in the CRM of a furniture brand.

0Data Engineer

Built interactive and predictive financial models for multiple clients to enable C-suite executives to forecast and prioritize the impact of business initiatives in various scenarios.

2Data Analyst

Using geographical dashboards in Tableau, new potential expansion zones were found for the company.

1Machine Learning Engineer

Created an AutoML SDK that packages different MetaLearning algorithms (hyperparameter tuning, adversarial techniques, synthetic data generation, self-supervised learning, neural style transfer and domain adaptation) using Python, Tensorflow, AWS Lambda, AWS EC2, AWS S3 to improve computer vision tasks and performance on deep learning models, reducing the amount of effort required from a developer to train a model. Improved model accuracy by 10% on average, reduced developer cycles, and shortened deployment time by up to 50%.

0Data Engineer

Implemented machine learning models to prevent money laundering.

0Data Engineer

Collaborated in the implementation of a data warehouse for ETL processes using Terraform, PostgreSQL, AWS Glue, Pyspark, S3, RDS and Airflow for a credit risk business case.

0Data Engineer

Led analysis of social network data extracted from Twitter API using the networkX library to identify influencers as part of the bank’s efforts to improve their public image.

0Data Engineer

Manually generated test data for an e-learning web application’s ML model that evaluated a users environmental conditions to determine if the user’s academic content (video, audio, or bookarticle) was optimal under those conditions.

0Data Engineer

Built solutions using PySpark and AWS EMR to extract data from a data lake for storage in AWS S3 for use in machine learning models.

4MLOps

with government, programs to decrease debts, increase transparency, deliver information, decrease

0Data Engineer

Lectured and assisted students during practical and theoretical laboratory sessions for learning programming with C language.

2Data Analyst

Designed and developed dashboards using BI tools.

0Data Engineer

Led a team of 4 engineers responsible for building the data platform to support an energy management customers requirements for the medium-long term.

1Machine Learning Engineer

Tools: GCP, AWS, Azure, Databricks, Spark, SQL, Python, Airflow, DBT, Docker

0Data Engineer

Developed with a team an IOT payment device

0Data Engineer

Implemented data processing jobs to move data between data lake zones using Python, AWS Glue, and Apache Spark.

1Machine Learning Engineer

Developed an end-to-end Machine Learning Solution using Python, Transformers, and Fast API to create an NLP assistant to help users on writing better questions in online forums such as Stack Overflow questions. Classified forum questions 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

Built and maintained data mining processes in JavaScript to analyze competitors’ offers, promotions and strategies. Also developed the ETLs required to support the data mining process, using AWS Kinesis and Apache Spark for transferring vast volumes of data, Python and BigQuery for data transformation and orchestrating everything in a custom AirFlow build for Mercado libre.

0Data Engineer

Developed and maintained new functionalities for the payment transactional platforms.