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

labels class label 7 classes	text stringlengths 19 772
0Data Engineer	Designed a customized pipeline to clean, process and save logging data from Airflow PostgreSQL to Snowflake for DAG Status reports and analysis.
1Machine Learning Engineer	Implemented multiple evaluation tasks on Python and Jupyter notebooks, such as classification, projection, and custom metrics, to compare the insights drawn from the protein embeddings against state of the art biology research on the SARS-CoV-2 pandemic.
0Data Engineer	Generated automated reports from API data using Python, AWS Lambda, Docker, AWS S3, AWS DynamoDB, AWS SNS, and AWS Step functions.
2Data Analyst	Supported the department in various tasks such as capacity planning and the creation of forms.
1Machine Learning Engineer	Created graph theory-inspired algorithms using page rank, graph degree, and finding optimal path methods to offer diverse financial products to multiple companies, ranging from corporate loans, factoring, digital wallets and salary advances to enhance private equity-driven decisions for the fintech and supply chain industries.
0Data Engineer	Implemented and maintained ETL pipelines with Apache Airflow to Amazon Redshift as the data warehouse, looking for reproducibility and maintainability features of the warehouse.
0Data Engineer	Developed multiple front end components and views using ReactJS to enhance the company’s platform that aims to automatically match best candidates profiles to given job descriptions and client requirements, enabling the business operations team to suggest candidates to the clients in a more accurate and data-driven manner.
0Data Engineer	Facilitated Big Data, machine learning, data engineering, and software development training.
3Data Scientist	Developed and implemented open-source Python libraries to enhance analytical capacities, including LEILA, a library to evaluate data quality in structure datasets, and ConTexto a library for text processing, exploration, and data analysis.
0Data Engineer	Assisted in solving problems in data engineering pipelines.
1Machine Learning Engineer	Modeled human traits to facilitate the emergence of cooperative behaviors in social scenarios using multi-agent deep reinforcement learning.
1Machine Learning Engineer	Developed and tested several credit risk models with Machine Learning techniques and assisted in their deployment.
2Data Analyst	Lectured statistics to 4 classes of undergraduate students of Macquarie University.
0Data Engineer	Created and implemented data engineering best practices that helped standardize processes.
3Data Scientist	Automated manual data processing using SPSS to optimize analysts’ jobs by decreasing the time execution from 1.5 days to less than 2 mins.
1Machine Learning Engineer	Co-Developed an application to extract data from financial reports using Python and Azure Functions, reducing financial analysts process time from 3 hours to 30 minutes.
0Data Engineer	Implemented a software solution to launch a Serviclub rewards program.
0Data Engineer	Created alerts and monitoring schemes using Datadog and logs from Airflow.
1Machine Learning Engineer	Created an index for fast approximate nearest neighbors search (ANN) using Annoy from Spotify
1Machine Learning Engineer	Published a paper “Electric hybridization kit for modification of a manual transmission motorcycle”, Journal: International Journal on Interactive Design and Manufacturing (IJIDeM).
0Data Engineer	Gained deep knowledge of Latin American and Brazilian securities markets.
5Analytics Engineer	Built and supported interactive dashboards used for decision-making.
2Data Analyst	Taught full-day practical courses on programming in R and Python for researchers and employees of various Australian universities.
3Data Scientist	Built ad-hoc reports for Product, Marketing, Sales, and Customer Operations teams to support them in shaping the annual and quarterly strategy. This work mainly involved time-series statistical analysis and data treatment in SQL and Metabase.
0Data Engineer	Designed and implemented a production ready deployment CICD process for a data warehouse infrastructure using Terraform, Github, CircleCI, DynamoDB and S3.
1Machine Learning Engineer	Implemented a REST API using FastAPI for serving a text classification model.
0Data Engineer	Managed data integrations from different sources and destinations using SQL and Delphi.
0Data Engineer	Administered query optimization and monitoring over MS SQL Instances.
1Machine Learning Engineer	Helped teach the course Workshop II (Mechanical Design) for the Engineering Physics bachelor.
2Data Analyst	Created the first version of a customer lifetime valuation(CLV) aimed at segmenting customers in order to create marketing strategies aimed at segments.
1Machine Learning Engineer	Maintained releasebuild pipelines in Azure DevOps for CICD of ML models.
0Data Engineer	Led the SQL-Server on premise to AWS migration, including Redshift data structures and objects for data analytics and reporting purposes, improving data processing and analysis for the institution.
1Machine Learning Engineer	Trained models with their optimal parameters and kept track of each of their runs leveraging CometML to store performance metrics as well as other relevant data such as object detection images for specific cases stored in the test set.
1Machine Learning Engineer	Cleaned and set data pipelines for refitting purposes, including different time frame datasets.
0Data Engineer	Created dynamic dashboards and reports with real-time and forecast analytics using Python, SciPy, What-if, and Oracle Big Data Appliance.
0Data Engineer	Managed and improved core features of a global travel shopping companys data lake with a global team of cloud operations, data, and software engineers.
3Data Scientist	Created an automated strategy for the data enrichment of >6K Salesforce account records using BigQuery, Python scripts, and Clearbit data provider. The goal was to bridge the data gaps found in the CRM database that hindered financial reporting and marketing efforts. The enrichment resulted in the filling of the missing customer data values for >70% of the targeted accounts.
3Data Scientist	Calculated and analysed KPIs based on operations data that enabled company decision-making-level teams to define new distribution, budgeting and inventory management strategies.
4MLOps	Applied TDD and architecture knowledge to increase code coverage (from 20% to more than 80%) and deliver a very high message throughput (0.2 secondsrequest) in a REST API used by a front-end application to retrievestore user information.
2Data Analyst	Controlled and monitored through massive testing different credit card products to ensure proper operation and customer satisfaction.
1Machine Learning Engineer	Migrated existing deployed credit models from an in-house deployment solution, which involved serialization, data type forcing, exposure through APIs and a complex iteration pipeline, to a whole new infrastructure using Yatai (ML service platform on Kubernetes) along with BentoML containersservices. The models can now be deployed at scale faster and following good practices for git-ops and CICD pipelines. The new infrastructure allows to score and run the model either for live decisioning (online scoring) or for a batch of rows (offline scoring) when needed for monthly campaigns of customers. The deployment process is actively used to acquire new customers through personalized offers and to score current customers internally for new products.
0Data Engineer	Developed a graphical user interface desktop application using GUI, Python and Matplotib to expose historical records, trends, statistics and results of a predictive system of hydrological variables in a hydroelectric reservoir. Accessed and transformed data using MySQL, Numpy and Pandas. Delivered application updates through git-GitHub releases without user intervention, reducing by two man-hours day processing time for the analytics team.
1Machine Learning Engineer	Tools: Azure, AWS, Databricks, Spark, Python, SQL, Sagemaker, EC2, MLFlow, Elasticsearch, MongoDB, SQLServer, PostgreSQL, Git, GitHub.
0Data Engineer	Implemented data processing jobs to move data between data lake zones using Python, AWS Glue, and PySpark.
2Data Analyst	Designed dashboards proposals that comply with the needs of the user and the company.
1Machine Learning Engineer	Created a one-stage object detector using the YOLOV4 model and served it through a dockerized API deployed in AWS.
0Data Engineer	Participated in the creation of Workflows for Github repositories and CICD Pipelines.
1Machine Learning Engineer	Development of use case ethereum’s app for anonymous claims about sexual harassment.
1Machine Learning Engineer	Created a process using Python that used multithreading to parallelize calls to a third-party API for enrichment of a million-rows dataset for a food and beverage market research and intelligence platform. Automated process to call API whenever the original dataset was updatedmodified using Airflow.
3Data Scientist	Built Tableau dashboards to analyze customer’s behavior data across 4 countries and improve metrics performance of customer and product oriented marketing campaigns (click to rate, open rate, credit card transactions, etc.) for a major global payment technology company with presence across Latam.
0Data Engineer	Developed an ELT process based on Docker images running in AWS Lambdas to extract data from an API for storage in AWS S3.
1Machine Learning Engineer	Used gaussian mixture models and K-prototypes clustering algorithm to detect abnormal water consumption. Applied deep learning and classical machine learning models to solve a wide variety of problems, such as fast region convolutional neural to detect signatures on unstructured financial documents for one of Colombias most important financial institutions.
2Data Analyst	Developed data models and dashboards using Power BI to improve decision-making and guarantee the accomplishment of the conversion goals of the Restaurant Business Unit of a major technology and on-demand delivery company in Latin America.
0Data Engineer	Built key performance indicators using statistical methods and deployed using SQL Server Data Tools, Python and AWS Glue depending to measure work wellbeing and performance, for the overall court departments.
4MLOps	Working as a software engineer responsible for improve systems performance, my main role was
1Machine Learning Engineer	Defined architecture definitions for MLOps processes.
0Data Engineer	Designed and developed websites using Python and Flask. Gathered and transformed user data from Oracle database using SQL and Pandas to enable filtering capabilities and data aggregation for reports and analytics generation. Automations reduced 16 man hours week.
0Data Engineer	Integrated an internal and core system between an external system and mobile customer-facing applications implementing automation through Python and AWS Tools.
0Data Engineer	Developed analytical dashboards using looker for visualization of payment methods identified trends and usage of consumer for finance and demand team.
0Data Engineer	Orchestrated production pipelines in Databricks to deliver fresh results for ad-hoc analytics and dashboarding.
0Data Engineer	Interacted with other microservices using REST, SOAP, and Kafka and Activemq message brokers.
0Data Engineer	Coordinated project inception phase with management team and organized team activities implementing agile methodologies.
0Data Engineer	Provided consultancy to government companies.
1Machine Learning Engineer	Built a computer vision algorithm for detecting the heartbeat based on optical phone sensors
1Machine Learning Engineer	Built a real time bidder system (using reinforcement learning) for usage within the infrastructure in a DSP
0Data Engineer	Developed and deployed cloud-based RPA solutions and machine learning models using Python and REST APIs for clients in the finance, retail and education sector.
3Data Scientist	Led a team of 3 people in the creation and maintenance of the entire Business Analytics infrastructure of the company. This included the entire data cycle from Data Capturing (Segment, Snowplow), ETL (AWS DMS Lambda), Warehousing (Redshift, AWS Postgres RDS), (K)PI standardization and logic development, to VisualizationDashboarding (AWS EC2, Metabase). This work enabled the entire company to make reliable data-driven decisions with > 360 high-quality (K)PIs being maintained by the team.
2Data Analyst	CRM, ERP and BI solutions consultant.
0Data Engineer	Built a background daily process using Python and Airflow to download exchange rates data from a public API, normalize it in a CSV file, store it in an Amazon S3 bucket and add it into a Redshift table. Implemented Slack notifications and Sendgrid emails to generate warnings and failure alerts.
2Data Analyst	Developed Machine Learning algorithms on Jupyter Notebooks for anomaly detection, time-series analysis, cross-selling and clustering, implementing these with Streamlit and Plotly Dash.
0Data Engineer	Developed a pipeline to extract data from both RDS and S3 to create a dimensional model in AWS Redshift using Apache Airflow, AWS Glue, Apache Spark, and DBT deployed with Terraform.
0Data Engineer	Automated marketing ETL pipelines using Python and Microsoft SQL Server. Reduced manual effort for the bank data processes by 30%.
0Data Engineer	Built project template and framework with cookie-cutter, Docker, and make files.
3Data Scientist	Developed a speech processing feature for the Open Source DisVoice Python Framework.
1Machine Learning Engineer	Created an ETL pipeline using NLTK, Spellchecker, and HuggingFace to clean and put text data into the appropriate ML format.
6Software Engineer	Developed cutting edge algorithms that helped artists create content based on procedural workflows through texture synthesis for a startup dedicated to creating tools for the design and automation of 3D materials, assets, and texturing.
0Data Engineer	Led a research team focused on lung cancer computer-aided diagnosis that implemented a multimodal CNN model that takes advantage of the spatial relationship between visual and clinical information, emulating the diagnostic process of the specialist. The research was published in the International Workshop on Multimodal Learning for Clinical Decision Support of MICCAI 2021.
2Data Analyst	Tracked Intel’s retail co-marketing projects in Latin America and ensured budget alignment between program manager and retail account managers.
3Data Scientist	Used optical character recognition techniques to automate audit procedures.
4MLOps	Deployed analytical database using AWS Redshift with an on-premise Oracle transactional database as source for one of the largest retail companies in the Americas.
0Data Engineer	Carried out a migration of an on-premise system using several clusters with Hadoop, Spark, Cassandra, Kafka, and Airflow to a more manageable environment in AWS and Snowflake, using DMS, S3, CDK, Glue, and Redshift.
3Data Scientist	Developed and deployed a risk estimation tool using ScikitLearn and Pandas in Python to determine the tendency of a convicted criminal to reoffend. Designed and rendered a PDF result file in R-Markdown for attorneys to use in accusation and imputation hearings, achieving an estimated reduction in crime occurrences of 25%.
0Data Engineer	Optimized inventory for a multinational coal mining company through analysis of transfers between warehouses using Pandas.
1Machine Learning Engineer	Contributed to the development of an in-house ML lab solution for running ML models and interacting with a big data cluster, including the development of the first model running in parallel with Spark and the reduction of prediction time on over 120M rows from hours to seconds at one of Latin Americas largest financial institutions.
0Data Engineer	Participated in the development process guide.
1Machine Learning Engineer	Participated in the Cartagena International Music Festival as an exhibitor project.
0Data Engineer	Optimized the deployment process of deep-learning models for audio and video processing using CICD and container technologies using Bitbucket Pipelines and Docker.
0Data Engineer	Built an ETL pipeline using SQL, Python, and Databricks Lakehouse Platform to process and analyze data, with efficient incremental data processing to validate and enrich data driving business decisions and applications.
3Data Scientist	Deployed product models using Google Cloud Platform.
0Data Engineer	Designed a data validation framework improving data quality and real-time analytics in Data Lake, using Python’s Great Expectations library.
1Machine Learning Engineer	Implemented clustering and characterization of customer segments using data of 7 million active users from the platform. The data was queried and extracted using SQL from a Snowflake data warehouse.
0Data Engineer	Stack: Python, Spark, Databricks, Elasticsearch, MongoDB, SQLServer, PostgreSQL, Azure, Git, GitHub.
3Data Scientist	Participated in the definition and evaluation of credit score models for new financial customers using tree based techniques and simple logistic regression model, Python and Scikit-Learn.
0Data Engineer	Architected batch and streaming data pipelines.
2Data Analyst	Designed and developed interactive dashboards using BI tools for clients that belong to the retail, B2B, merchandising and e-commerce industry.
0Data Engineer	Implemented a classifier determining preferred communication channels for users.
3Data Scientist	Developed a credit scoring model (default prediction) using Python, SQL and tree based Scikit-Learn machine learning models for the bank’s business and corporate clients (low default portfolio). This model aimed to increase granting accuracy of credit products to good clients in order to reduce the bank loan loss provisions.
2Data Analyst	Transformed data and created models for analysis and visualization with BI tools such as SQL, Python, Data studio, SAP analytics, and Power Query.
0Data Engineer	Created real-time dashboards in Python, Splunk and AWS Kinesis and S3.
4MLOps	Developed and deployed a system to detect patterns in graphs by conducting statistical analysis, creating and testing hypotheses to find errors, misconfigurations and inefficient resource consumption. Developed smart and creative solutions to predict, and manually or automatically fix the problems presented.

0Data Engineer

Designed a customized pipeline to clean, process and save logging data from Airflow PostgreSQL to Snowflake for DAG Status reports and analysis.

1Machine Learning Engineer

Implemented multiple evaluation tasks on Python and Jupyter notebooks, such as classification, projection, and custom metrics, to compare the insights drawn from the protein embeddings against state of the art biology research on the SARS-CoV-2 pandemic.

0Data Engineer

Generated automated reports from API data using Python, AWS Lambda, Docker, AWS S3, AWS DynamoDB, AWS SNS, and AWS Step functions.

2Data Analyst

Supported the department in various tasks such as capacity planning and the creation of forms.

1Machine Learning Engineer

Created graph theory-inspired algorithms using page rank, graph degree, and finding optimal path methods to offer diverse financial products to multiple companies, ranging from corporate loans, factoring, digital wallets and salary advances to enhance private equity-driven decisions for the fintech and supply chain industries.

0Data Engineer

Implemented and maintained ETL pipelines with Apache Airflow to Amazon Redshift as the data warehouse, looking for reproducibility and maintainability features of the warehouse.

0Data Engineer

Developed multiple front end components and views using ReactJS to enhance the company’s platform that aims to automatically match best candidates profiles to given job descriptions and client requirements, enabling the business operations team to suggest candidates to the clients in a more accurate and data-driven manner.

0Data Engineer

Facilitated Big Data, machine learning, data engineering, and software development training.

3Data Scientist

Developed and implemented open-source Python libraries to enhance analytical capacities, including LEILA, a library to evaluate data quality in structure datasets, and ConTexto a library for text processing, exploration, and data analysis.

0Data Engineer

Assisted in solving problems in data engineering pipelines.

1Machine Learning Engineer

Modeled human traits to facilitate the emergence of cooperative behaviors in social scenarios using multi-agent deep reinforcement learning.

1Machine Learning Engineer

Developed and tested several credit risk models with Machine Learning techniques and assisted in their deployment.

2Data Analyst

Lectured statistics to 4 classes of undergraduate students of Macquarie University.

0Data Engineer

Created and implemented data engineering best practices that helped standardize processes.

3Data Scientist

Automated manual data processing using SPSS to optimize analysts’ jobs by decreasing the time execution from 1.5 days to less than 2 mins.

1Machine Learning Engineer

Co-Developed an application to extract data from financial reports using Python and Azure Functions, reducing financial analysts process time from 3 hours to 30 minutes.

0Data Engineer

Implemented a software solution to launch a Serviclub rewards program.

0Data Engineer

Created alerts and monitoring schemes using Datadog and logs from Airflow.

1Machine Learning Engineer

Created an index for fast approximate nearest neighbors search (ANN) using Annoy from Spotify

1Machine Learning Engineer

Published a paper “Electric hybridization kit for modification of a manual transmission motorcycle”, Journal: International Journal on Interactive Design and Manufacturing (IJIDeM).

0Data Engineer

Gained deep knowledge of Latin American and Brazilian securities markets.

5Analytics Engineer

Built and supported interactive dashboards used for decision-making.

2Data Analyst

Taught full-day practical courses on programming in R and Python for researchers and employees of various Australian universities.

3Data Scientist

Built ad-hoc reports for Product, Marketing, Sales, and Customer Operations teams to support them in shaping the annual and quarterly strategy. This work mainly involved time-series statistical analysis and data treatment in SQL and Metabase.

0Data Engineer

Designed and implemented a production ready deployment CICD process for a data warehouse infrastructure using Terraform, Github, CircleCI, DynamoDB and S3.

1Machine Learning Engineer

Implemented a REST API using FastAPI for serving a text classification model.

0Data Engineer

Managed data integrations from different sources and destinations using SQL and Delphi.

0Data Engineer

Administered query optimization and monitoring over MS SQL Instances.

1Machine Learning Engineer

Helped teach the course Workshop II (Mechanical Design) for the Engineering Physics bachelor.

2Data Analyst

Created the first version of a customer lifetime valuation(CLV) aimed at segmenting customers in order to create marketing strategies aimed at segments.

1Machine Learning Engineer

Maintained releasebuild pipelines in Azure DevOps for CICD of ML models.

0Data Engineer

Led the SQL-Server on premise to AWS migration, including Redshift data structures and objects for data analytics and reporting purposes, improving data processing and analysis for the institution.

1Machine Learning Engineer

Trained models with their optimal parameters and kept track of each of their runs leveraging CometML to store performance metrics as well as other relevant data such as object detection images for specific cases stored in the test set.

1Machine Learning Engineer

Cleaned and set data pipelines for refitting purposes, including different time frame datasets.

0Data Engineer

Created dynamic dashboards and reports with real-time and forecast analytics using Python, SciPy, What-if, and Oracle Big Data Appliance.

0Data Engineer

Managed and improved core features of a global travel shopping companys data lake with a global team of cloud operations, data, and software engineers.

3Data Scientist

Created an automated strategy for the data enrichment of >6K Salesforce account records using BigQuery, Python scripts, and Clearbit data provider. The goal was to bridge the data gaps found in the CRM database that hindered financial reporting and marketing efforts. The enrichment resulted in the filling of the missing customer data values for >70% of the targeted accounts.

3Data Scientist

Calculated and analysed KPIs based on operations data that enabled company decision-making-level teams to define new distribution, budgeting and inventory management strategies.

4MLOps

Applied TDD and architecture knowledge to increase code coverage (from 20% to more than 80%) and deliver a very high message throughput (0.2 secondsrequest) in a REST API used by a front-end application to retrievestore user information.

2Data Analyst

Controlled and monitored through massive testing different credit card products to ensure proper operation and customer satisfaction.

1Machine Learning Engineer

Migrated existing deployed credit models from an in-house deployment solution, which involved serialization, data type forcing, exposure through APIs and a complex iteration pipeline, to a whole new infrastructure using Yatai (ML service platform on Kubernetes) along with BentoML containersservices. The models can now be deployed at scale faster and following good practices for git-ops and CICD pipelines. The new infrastructure allows to score and run the model either for live decisioning (online scoring) or for a batch of rows (offline scoring) when needed for monthly campaigns of customers. The deployment process is actively used to acquire new customers through personalized offers and to score current customers internally for new products.

0Data Engineer

Developed a graphical user interface desktop application using GUI, Python and Matplotib to expose historical records, trends, statistics and results of a predictive system of hydrological variables in a hydroelectric reservoir. Accessed and transformed data using MySQL, Numpy and Pandas. Delivered application updates through git-GitHub releases without user intervention, reducing by two man-hours day processing time for the analytics team.

1Machine Learning Engineer

Tools: Azure, AWS, Databricks, Spark, Python, SQL, Sagemaker, EC2, MLFlow, Elasticsearch, MongoDB, SQLServer, PostgreSQL, Git, GitHub.

0Data Engineer

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

2Data Analyst

Designed dashboards proposals that comply with the needs of the user and the company.

1Machine Learning Engineer

Created a one-stage object detector using the YOLOV4 model and served it through a dockerized API deployed in AWS.

0Data Engineer

Participated in the creation of Workflows for Github repositories and CICD Pipelines.

1Machine Learning Engineer

Development of use case ethereum’s app for anonymous claims about sexual harassment.

1Machine Learning Engineer

Created a process using Python that used multithreading to parallelize calls to a third-party API for enrichment of a million-rows dataset for a food and beverage market research and intelligence platform. Automated process to call API whenever the original dataset was updatedmodified using Airflow.

3Data Scientist

Built Tableau dashboards to analyze customer’s behavior data across 4 countries and improve metrics performance of customer and product oriented marketing campaigns (click to rate, open rate, credit card transactions, etc.) for a major global payment technology company with presence across Latam.

0Data Engineer

Developed an ELT process based on Docker images running in AWS Lambdas to extract data from an API for storage in AWS S3.

1Machine Learning Engineer

Used gaussian mixture models and K-prototypes clustering algorithm to detect abnormal water consumption. Applied deep learning and classical machine learning models to solve a wide variety of problems, such as fast region convolutional neural to detect signatures on unstructured financial documents for one of Colombias most important financial institutions.

2Data Analyst

Developed data models and dashboards using Power BI to improve decision-making and guarantee the accomplishment of the conversion goals of the Restaurant Business Unit of a major technology and on-demand delivery company in Latin America.

0Data Engineer

Built key performance indicators using statistical methods and deployed using SQL Server Data Tools, Python and AWS Glue depending to measure work wellbeing and performance, for the overall court departments.

4MLOps

Working as a software engineer responsible for improve systems performance, my main role was

1Machine Learning Engineer

Defined architecture definitions for MLOps processes.

0Data Engineer

Designed and developed websites using Python and Flask. Gathered and transformed user data from Oracle database using SQL and Pandas to enable filtering capabilities and data aggregation for reports and analytics generation. Automations reduced 16 man hours week.

0Data Engineer

Integrated an internal and core system between an external system and mobile customer-facing applications implementing automation through Python and AWS Tools.

0Data Engineer

Developed analytical dashboards using looker for visualization of payment methods identified trends and usage of consumer for finance and demand team.

0Data Engineer

Orchestrated production pipelines in Databricks to deliver fresh results for ad-hoc analytics and dashboarding.

0Data Engineer

Interacted with other microservices using REST, SOAP, and Kafka and Activemq message brokers.

0Data Engineer

Coordinated project inception phase with management team and organized team activities implementing agile methodologies.

0Data Engineer

Provided consultancy to government companies.

1Machine Learning Engineer

Built a computer vision algorithm for detecting the heartbeat based on optical phone sensors

1Machine Learning Engineer

Built a real time bidder system (using reinforcement learning) for usage within the infrastructure in a DSP

0Data Engineer

Developed and deployed cloud-based RPA solutions and machine learning models using Python and REST APIs for clients in the finance, retail and education sector.

3Data Scientist

Led a team of 3 people in the creation and maintenance of the entire Business Analytics infrastructure of the company. This included the entire data cycle from Data Capturing (Segment, Snowplow), ETL (AWS DMS Lambda), Warehousing (Redshift, AWS Postgres RDS), (K)PI standardization and logic development, to VisualizationDashboarding (AWS EC2, Metabase). This work enabled the entire company to make reliable data-driven decisions with > 360 high-quality (K)PIs being maintained by the team.

2Data Analyst

CRM, ERP and BI solutions consultant.

0Data Engineer

Built a background daily process using Python and Airflow to download exchange rates data from a public API, normalize it in a CSV file, store it in an Amazon S3 bucket and add it into a Redshift table. Implemented Slack notifications and Sendgrid emails to generate warnings and failure alerts.

2Data Analyst

Developed Machine Learning algorithms on Jupyter Notebooks for anomaly detection, time-series analysis, cross-selling and clustering, implementing these with Streamlit and Plotly Dash.

0Data Engineer

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

0Data Engineer

Automated marketing ETL pipelines using Python and Microsoft SQL Server. Reduced manual effort for the bank data processes by 30%.

0Data Engineer

Built project template and framework with cookie-cutter, Docker, and make files.

3Data Scientist

Developed a speech processing feature for the Open Source DisVoice Python Framework.

1Machine Learning Engineer

Created an ETL pipeline using NLTK, Spellchecker, and HuggingFace to clean and put text data into the appropriate ML format.

6Software Engineer

Developed cutting edge algorithms that helped artists create content based on procedural workflows through texture synthesis for a startup dedicated to creating tools for the design and automation of 3D materials, assets, and texturing.

0Data Engineer

Led a research team focused on lung cancer computer-aided diagnosis that implemented a multimodal CNN model that takes advantage of the spatial relationship between visual and clinical information, emulating the diagnostic process of the specialist. The research was published in the International Workshop on Multimodal Learning for Clinical Decision Support of MICCAI 2021.

2Data Analyst

Tracked Intel’s retail co-marketing projects in Latin America and ensured budget alignment between program manager and retail account managers.

3Data Scientist

Used optical character recognition techniques to automate audit procedures.

4MLOps

Deployed analytical database using AWS Redshift with an on-premise Oracle transactional database as source for one of the largest retail companies in the Americas.

0Data Engineer

Carried out a migration of an on-premise system using several clusters with Hadoop, Spark, Cassandra, Kafka, and Airflow to a more manageable environment in AWS and Snowflake, using DMS, S3, CDK, Glue, and Redshift.

3Data Scientist

Developed and deployed a risk estimation tool using ScikitLearn and Pandas in Python to determine the tendency of a convicted criminal to reoffend. Designed and rendered a PDF result file in R-Markdown for attorneys to use in accusation and imputation hearings, achieving an estimated reduction in crime occurrences of 25%.

0Data Engineer

Optimized inventory for a multinational coal mining company through analysis of transfers between warehouses using Pandas.

1Machine Learning Engineer

Contributed to the development of an in-house ML lab solution for running ML models and interacting with a big data cluster, including the development of the first model running in parallel with Spark and the reduction of prediction time on over 120M rows from hours to seconds at one of Latin Americas largest financial institutions.

0Data Engineer

Participated in the development process guide.

1Machine Learning Engineer

Participated in the Cartagena International Music Festival as an exhibitor project.

0Data Engineer

Optimized the deployment process of deep-learning models for audio and video processing using CICD and container technologies using Bitbucket Pipelines and Docker.

0Data Engineer

Built an ETL pipeline using SQL, Python, and Databricks Lakehouse Platform to process and analyze data, with efficient incremental data processing to validate and enrich data driving business decisions and applications.

3Data Scientist

Deployed product models using Google Cloud Platform.

0Data Engineer

Designed a data validation framework improving data quality and real-time analytics in Data Lake, using Python’s Great Expectations library.

1Machine Learning Engineer

Implemented clustering and characterization of customer segments using data of 7 million active users from the platform. The data was queried and extracted using SQL from a Snowflake data warehouse.

0Data Engineer

Stack: Python, Spark, Databricks, Elasticsearch, MongoDB, SQLServer, PostgreSQL, Azure, Git, GitHub.

3Data Scientist

Participated in the definition and evaluation of credit score models for new financial customers using tree based techniques and simple logistic regression model, Python and Scikit-Learn.

0Data Engineer

Architected batch and streaming data pipelines.

2Data Analyst

Designed and developed interactive dashboards using BI tools for clients that belong to the retail, B2B, merchandising and e-commerce industry.

0Data Engineer

Implemented a classifier determining preferred communication channels for users.

3Data Scientist

Developed a credit scoring model (default prediction) using Python, SQL and tree based Scikit-Learn machine learning models for the bank’s business and corporate clients (low default portfolio). This model aimed to increase granting accuracy of credit products to good clients in order to reduce the bank loan loss provisions.

2Data Analyst

Transformed data and created models for analysis and visualization with BI tools such as SQL, Python, Data studio, SAP analytics, and Power Query.

0Data Engineer

Created real-time dashboards in Python, Splunk and AWS Kinesis and S3.

4MLOps

Developed and deployed a system to detect patterns in graphs by conducting statistical analysis, creating and testing hypotheses to find errors, misconfigurations and inefficient resource consumption. Developed smart and creative solutions to predict, and manually or automatically fix the problems presented.