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1Machine Learning Engineer
Implemented Gradient Boosting Regression and Additive Regression models (Prophet) to forecast hourly energy consumption and solar generation of residential customers for a utility company. Confidenceprediction intervals were used to identify anomalies and avoid billing errors. The solution was deployed on AzureML as a pipeline and the run is triggered monthly, and led to reduced billing verification time from one week to two days and increased ability to identify sensor failures.
0Data Engineer
Traced absences and grades, looking for possible desertion student cases from the program.
1Machine Learning Engineer
Developed a pipeline using ERM with Pyspark to transform data from JSON to Parquet format and stored it in S3 to have available and clean data for testing models.
1Machine Learning Engineer
Built machine learning models applying NLP, optical character recognition and computer vision using Hugging Face, Scikit-Learn, MongoDB and AWS (S3, ECS, Fargate, Lambda) to parse text from resumes and job descriptions to automate data ingestion into a talent acquisition platform.
3Data Scientist
Built a dashboard using Python’s Dash library to monitor loan default predictive model’s performance and distribution shift over time so both technical and business teams could gain full visibility and give feedback.
5Analytics Engineer
Supported systems and IT financial audit of information technology controls (access management and change management).
1Machine Learning Engineer
Estimated the probability of an employee to change his or her category using a Markov chain with Numpy.
0Data Engineer
Developed an ETL process for analysis of credit data using AWS Glue Jobs, Metaverse and Airflow.
3Data Scientist
Conducted analyses of networks of financial flows among the bank’s customers.
0Data Engineer
Implemented data pipelines using tools and technologies such as AWS, Apache Airflow, and DBT.
2Data Analyst
Created monthly and quarterly retail sales analysis reports with key messages that would streamline high level retail strategy all the way to the local sales teams across the Latin American region. Enabling cross functional alignment from marketing and retail departments to the region’s strategic pillars.
0Data Engineer
Participated in the maintenance and refactoring tasks of ETL processes (HIVE code) for a large retail company.
0Data Engineer
Developed an internal web stack-overflow project for communities building their own QA forums.
2Data Analyst
Built reports and performed statistical analysis for the companys C-suite, in the areas of portfolio balances, product growth, credit card sales, insurance sales, credit card activation, operational management, inspection, and testing of the company’s processes.
1Machine Learning Engineer
Built an NLP assistant that helped users to write and formulate better questions in online forums.
1Machine Learning Engineer
Developed modules for automatic face redaction in C++ and Python.
0Data Engineer
Defined data architecture, and designed and executed data migration processes from SAP ERP and non-SAP systems to SAP S4HANA systems.
1Machine Learning Engineer
Developed proofs of the concept of natural language processing systems for technical service companies.
0Data Engineer
Developed time series forecasting models to predict losses in unsuccessful SEO decisions, it drived to create another relation of prices to improve paid products revenues.
0Data Engineer
Used cameras to record videos and processed them on digital screens’ to extract data and send it to a database.
2Data Analyst
Executed a manufacturing project reducing production time by 12%.
0Data Engineer
Developed chatbot virtual assistants for internal use using DialogFlow.
4MLOps
Created DevOps training content based on best practices and industry standards.
1Machine Learning Engineer
Tools: Cloudera, Spark, Python, Hadoop, Hive, HDFS, DB2, SQLite, GitGitLab, Power BI, Linux, Shell Script.
1Machine Learning Engineer
Built a solution for loan default prediction based on tabular data of an imbalanced dataset. Used Random Forest and XGBoost for classification of the clients based on their credit score history with explainability of the prediction using SHAP to show the weight of the variables over the prediction. The models were logged in a remote MLflow server to track the tuning and tweaking of the hyperparameter using Optuna. This solution was deployed in a FastAPI containerized application in AWS Lambda. This solution allows easy access to a model that predicts if a loan will default, helping credit loan businesses to make decisions on whether to give or not a loan to the client.
1Machine Learning Engineer
Extracted and transformed unstructured credit study information in HTML format using Python and loaded it into structured databases in the Hadoop Ecosystem using SQL and Apache Impala.
1Machine Learning Engineer
Deployed a personalizationrecommendation system using AWS EC2 and FastAPI to suggest improvements on the overview, experience and skills sections of the resume of each applicant to make them relevant for a specific client.
3Data Scientist
Created and deployed a livestock population growth prediction model using Tensorflow and Python. Revised and assessed behaviour problems with stakeholders to calibrate the model and improve performance and interpretability.
0Data Engineer
Reported, designed, and implemented a statistical analytics dashboard for management and system-integrated control.
2Data Analyst
Optimized customer journey management procedures to better identify errors route causes of client service incidents, and maximize event responses.
1Machine Learning Engineer
Lectured classes in Machine Learning, Data Science, Programming Languages (Java, Python, Javascript), Data Structures, Algorithms, Data Analysis, Predictive Modeling, Matlab, Applied Mathematics, Algebra, Statistics, and Calculus to students worldwide through an online platform.
6Software Engineer
Participated in a workshop for SimAUD 2020 in Austria, TuWein to show and teach how to use the mentioned plugin for GIS->CADCAE interoperability. Some of the simulation tools that the plugin provides were also exposed and taught.
0Data Engineer
Implemented and maintained ETL pipelines and a data warehouse with Apache Airflow, S3, and Amazon Redshift.
0Data Engineer
Developed a CMS capable of Delivering custom personalized content using video processing to gather data from metrics and analysis.
6Software Engineer
Developed a transactional system using Java, Portlets and Websphere Application Server.
2Data Analyst
Designed and developed dynamic dashboards in Tableau, supported in SQL, to allow business intelligence on FCC’s data (Federal Communications Commission).
0Data Engineer
Presented my vision of the future software roadmap for the company and demoed the first changes toward that vision.
1Machine Learning Engineer
Set up a CICD pipeline for a classification task using MLflow and GitHub Actions that logged metrics and artifacts of trained models, wrapped them in a FastAPI application, performed unit tests on endpoints, built Docker images pushed to AWS ECR, and deployed the application using AWS API Gateway and AWS Lambda. Used DVC and AWS S3 to manage the data used to train the model.
0Data Engineer
Automated reports for the operations department using Python and Power BI reducing the number of people managing the data, increasing the accuracy of the results and facilitating the access through a centralized repository created with Access Databases.
3Data Scientist
Designed and performed data quality tests to evaluate the results of ELT processes built by programmers and data architects based on business rules defined by the final user as part of the Frequent Flyer Program within BI using Alteryx.
0Data Engineer
Implemented and managed the configuration of data assets and the assignment of cloud object data storage to groups and users using Databricks Unity Catalog.
0Data Engineer
Migrated data from SQL databases to time series databases such as Azure Time Series and Influx.
3Data Scientist
Developed time series models using R to forecast paper consumption to optimize inventory.
0Data Engineer
Coded, with Python, a derivatives (Swaps and options) calculator that eased the process of auditing third-party valuation of these assets in the company’s portfolio.
0Data Engineer
Designed and optimized databases and reports.
2Data Analyst
Explored statistical models to be applied to projects.
2Data Analyst
Built reports using Radar software for the recruitment team, including candidates’ rates, and offer acceptance rates as metrics to identify whether the Talent Acquisition team was on track to fulfill the companys goal.
1Machine Learning Engineer
Classified forum questions (abovebelow median score) using deep-learning-based NLP; applied explainability framework and served explained predictions through a dockerized API deployed in AWS.
1Machine Learning Engineer
Built and deployed an end-to-end machine learning pipeline using Snowflake, Python, AWS S3, AWS ECS, AWS ECR, AWS SSM parameter store, Docker and Airflow. The pipeline implemented a combination of deep learning and classical NLP models (BERT, BART, TF-IDF + SVM) techniques to implement case classification, sentiment analysis, spam detection, keyword extraction, and text summarization to help the customer service team workflow of an American furniture brand in dealing with around 1500-2000 customer emails and service requests per week. The models improved response time from reps to deal with customer service requests, visibility and prioritization of critical cases.
0Data Engineer
Designed, built and deployed API endpoints using FastAPI to enable email triggering, automated posting to Siebel CRM system topics, automated generation of updates on Jira tickets, and transparent interaction with payment platforms operated by an RPA using Selenium. Reduced processes time by 5 man hours week.
0Data Engineer
Developed an ELT data pipeline using Python and SQL to automate the data ingestion process from REDCap forms into a data warehouse in Google BigQuery for a world leader cancer treatment and research institution. Data was loaded into a raw dataset using Pythons API for both REDCap and BigQuery. Performed required transformations in BigQuery using jobs triggered within Python.
1Machine Learning Engineer
Developed automated experimentation pipelines using MLFlow.
2Data Analyst
Built reports and dashboards with BI tools, connecting current internal data warehouses with those reports.
0Data Engineer
Worked closely with UIUX designers to create the platforms brand and identity, design for mobile apps, web apps and desktop apps that compound all the platform.
3Data Scientist
Created a streamlined end-to-end pipeline, refining broken chunks of code, to improve an existing load recommender XGBoost model. Managed to boost test AUC from 0.83 to 0.93 (~custom metric boost of 62%). Deployed web service endpoints.
0Data Engineer
Designed a data pipeline to ingested data from a web scraping process.
3Data Scientist
Led and participated in the work of a team of employees in the operations and maintenance area of the plant’s production equipment to reduce gas turbine downtime.
2Data Analyst
Prepared and performed exploratory data analysis (EDA) using Pandas, Numpy and SQlite3 in Python to manipulate Excel and csv files to generate clean datasets for reports.
3Data Scientist
Developed econometrics models using Stata and educational methods for several research projects of a top 3 learning institution in Colombia.
1Machine Learning Engineer
Implemented machine learning algorithms to predict energy consumption in manufacturing plants. Worked with University of Illinois Urbana-Champaign Manufacturing research group.
2Data Analyst
Created dashboards using SQL and Tableau to automate the reporting of KPIs.
2Data Analyst
Implemented a sentiment analysis model for the customer support area. The model allows prioritization of highly negative requests and reroute them to experienced agents.
1Machine Learning Engineer
Improved and deployed an automated document text parser that extracts text data and transforms it to a default, fixed format for further analysis and as initial data for different NLP tasks.
1Machine Learning Engineer
Supported machine learning models by architecting and migrating on-premises data pipelines to the cloud and delivered internal Azure and Machine Learning training to support the business models of Brazilian government companies.
1Machine Learning Engineer
Developed a desktop Warehousing Management System using Python and Kivy implementing several heuristic algorithms to optimize the warehousing operations of a company. The usage of these algorithms proved to reduce operation times in multiple experimental settings.
0Data Engineer
Made dashboards as a Business Intelligence developer for the sales department.
0Data Engineer
Built a data lake with layered architecture using S3 buckets.
1Machine Learning Engineer
Executed a microservice architecture to enhance communication of separate APIs using Mongo, event sourcing, Rest APIs, and Javascript for the largest commercial bank in Colombia and one of the largest in Latin America.
1Machine Learning Engineer
Managed IT Operations data analysis.
1Machine Learning Engineer
Developed recommender systems to suggest online learning resources based on students’ emotions using ML techniques, Apache SOLR, AWS, and Postgres for one of Colombia’s top universities.
1Machine Learning Engineer
Developed a fully connected NN that translates a sequence of movements into musical actions.
3Data Scientist
Analyzed industry and commerce sector financial data to make investment decisions for the largest bank in Colombia.
1Machine Learning Engineer
Collaborated with Peru and UK prosecutors for the identification of human trafficking networks using graph databases.
1Machine Learning Engineer
Designed warehouse process management strategies.
3Data Scientist
Extracted and analyzed data from flights, fares, and market conditions using the Microstrategy data warehouse to structure market research to maximize network revenue, provide insights, and generate management strategies.
0Data Engineer
Taught mathematics to primary and high school students.
0Data Engineer
Implemented CICD pipelines to automate infrastructure deployment using GitHub Actions and Terraform.
0Data Engineer
Developed and maintained ETLELT pipelines built on top of Airflow.
1Machine Learning Engineer
Built gradient-boosted trees and ensembles to predict loan default on an unbalanced dataset using Python, DVC, Pandas, scikit-learn, LightGBM. Set up an experiment tracking server with MLFlow and automated iterative model training. Used Github Actions to automatically deploy a dockerized API in AWS ECS of the selected model integrated with an explainability framework. Extracted, processed and applied feature engineering over 100 columns and over 2 million rows.
1Machine Learning Engineer
Analyzed SARS-CoV-2 sequences through Python within a biology research group, consisting of biologists, bioinformaticians, and data scientists, to find different patterns amongst the virus.
0Data Engineer
Automated data WHAT TYPE OF DATA ingestion pielines using Pentaho, that helped to WHAT WAS THE PURPOSE for an e-commerce company in Brazil.
3Data Scientist
Built ML models for non-structured data such as images and text using TensorFlow Hub to collaborate with other divisions within the bank.
2Data Analyst
Extracted, segmented, and organized information with SQL to build probabilistic and statistical models that support consulting projects such as database management, dashboards construction, and stakeholder survey analysis to perform materiality assessments of companies, and complement the analysis with visual tools such as dashboards and maps in Tableau.
0Data Engineer
• Automating the migration of OLAP sources without impact on Analyst Activities. • Development of ETL for new projects using Databricks
3Data Scientist
Built a complete data life cycle, including designing and implementing ETL pipelines, troubleshooting, reporting, and identifying facts and dimensions.
0Data Engineer
Administered the data warehouse in BigQuery.
1Machine Learning Engineer
Developed sales product proposals with Hewlett Packard Enterprise technologies and designed a Python tool with openpyxl for CRM to automate reporting of team performance, resulting in 50% reduction in manual effort.
0Data Engineer
Integrated Apache Airflow process to external and internal SFTPs, S3 buckets, and Slack channels to deliver reports.
0Data Engineer
Developed explores, views, tables and LookML models for BI teams using Looker with Snowflake Connector to optimize resources and enable BI teams to quickly build dashboards and resolve performance issues.
0Data Engineer
Tracked and made statistical analysis of kitchen appliances’ imports and exports using Qlikview and Nielsen.
2Data Analyst
Applied TD-ABC costing method for the production process and achieved its approval by the finance manager.
1Machine Learning Engineer
Taught undergrad-level students pure and applied subjects such as measure theory, statistics, number theory and linear algebra.
1Machine Learning Engineer
Participated as an instructor in the training of new Machine Learning Engineers and Data Engineers.
2Data Analyst
Led the migration of non-active 2G clients base for the Marketing VP, improving 20% of the license cost KPI of the segment. Scope included definition of segments to migrate, development of SQL scripts and jobs, design of reports, and presentation of strategies and results to senior management.
0Data Engineer
Supported the interface between the support team, QA, and Engineering, managing issues and escalating them to the proper team and documenting it.
0Data Engineer
Developed an Automatic License Plate Recognition system using deep learning, C, and the YOLO library.
1Machine Learning Engineer
Deployed models inside buses on a low cost device shared by other apps, so models deployed had to be memory efficient and have a quick inference time to match up a desired FPS metric.
1Machine Learning Engineer
Created, revised and deployed a livestock population growth prediction model using Tensorflow and Python and a production classification model using Tensorflow.
6Software Engineer
Identified business problems and proposed solutions supported by technology.
0Data Engineer
Built ETL solutions using Python, SQL, Big Query, Spark, and Databricks and orchestrating data pipelines using Airflow to maintain the main orders table taking data from different sources and added new features in the ETL process to guarantee the accuracy of the information for the demand team in a luxury fashion retail company.