Responsibilities & achievements

Built a large scale data warehouse for a data management platform solution designed for generating audiences for marketing campaigns based on biographical information, browsing history, lifestyle, buying habits, and affinity with the marketplace product categories. -Optimized the performance of the bidding systems, improving the deep neural networks architecture used for modeling the cost per click CPC, conversion rate CVR, and click-through rate CTR. -Developed reinforcement learning-based models to optimize the delivery of push notifications to users. -Developed NLP models for classifying product descriptions.

Responsibilities & achievements

Led a team of data scientists and data engineers, working simultaneously on different projects for industries like deliveries, hospitality, transportation systems, environmental management. -Designed, developed, and deployed the cloud data architecture of several mobile and web apps. -Developed several machine learning models for real-time traffic jam detection and real-time aggressive driver identification. Also deployed face recognition mask detection, people tracking and counting in video scenes. Performed sentiment analysis, and topic modeling for Twitter content. -Develop OCR models to scan ID documents within the apps and face fecognition mask detection model, people tracking and counting -Evaluated the program “AyudarNosHaceBien”. Presidency of Colombia program to attend Covid-19 emergency. -Co-author of the research paper: Does food assistance help to reduce human mobility during COVID-19 emergency in Colombia?

Responsibilities & achievements

Business analytics using Databricks and AWS. * Develop sentiment analysis models to understand user's opinions in the AppStore and Google Play. * Data mining Apps market performance using AppAnnie and App Figures.

Responsibilities & achievements

Developed several machine learning models for business analytics. - Performed ETL process over Big Data to extract data from the different business areas, cleaning and combining it and then loading in a data warehouse in order to feed many machine learning models. -Proposed the Data Governance roadmap for the management of decentralized data from all business areas of the organization.

Responsibilities & achievements

Developed a software application for Banco de Occidente, used to estimate fees associated with interbank payments across low-value transactional networks, VISA and MasterCard Networks. -Proposed a methodology for forecasting financial distress for companies in Colombia.