Globant

Senior Data Scientist

Various projects in the streaming video service industry as -- Recommendation engine: Algorithms with different features as a recommendation based on similar content, personalized recommendations for users, recommendations for new users, and shows with a daily frequency. Use of algorithms such as collaborative filters, hybrid collaborative filters with dependent variables, and distances of movies and series from their metadata such as title, descriptions, actors, and genres, use AWS SageMaker to transform, train, predict, evaluate, and deploy near real-time recommendation models. -- Time-series: Prediction of the cost of the AWS platform in its daily use, from its behavior and temporality, using external variables such as the number of users on the platform. Use of Prophet Library. -- Review classification: Transfer learning using a sentence transformer model to classify app user comments into custom categories (Bugs, questions, improvements, sentiments), put into production on a GLUE AWS job to generate classifications daily. -- Similar shows: Text analysis of movie and series descriptions and generation of distances to find similar shows. Use of pre-trained transformer models. -- Topic modeling: Clustering scientific articles into topics, using embeddings and LDA for cluster generation.

Data Scientist SSr Advance

ADL Digital Lab

Various projects in the Bank and Pension industries such as -- Computer vision: Identification and tracking of people inside shopping areas to evaluate and improve customer experience. Projection of 3d to 2d images for analysis of specific spaces. Use of pre-train algorithms such as Yolo and Deep Sort -- Customer segmentation: Segmentation using business rules for first customer separation at the time of the origination. Analytical sub-segmentation to divide customers according to specific payment behaviors using methodologies such as K-means and K-medoids.

Data scientist Core

Experian

Various internal projects such as Automodel APP generates feature selections, train supervised models, and generate the documentation to implement them. Feature data engine that automatically creates data insights from row data. Default prediction of loans in different stages for B2B2C. Support the Analytics area with analytical tools and research.

Senior Data Intelligence Analyst ML

Various internal projects such as an Early Default prediction of loans in different stages for B2B2C, Segmentation of the Colombian population according to payment behavior, and research of analytical algorithms for internal tests.

Analytics Coordinator

Various internal projects such as a Customer purchase propensity model for Experian product acquisition, Segmentation of customers according to the number of transactions, and revenue generated. Generating automatic reports to track KPIs.

Data Modeler

Statistician with 7 years of experience in financial, insurance, and video streaming service sectors, development of analysis as segmentation, profiling, predictive modeling, and deployment of machine learning models, mainly implemented in Python or R. Experience working with structured and semi-structured data with SQL and PySpark, handling of big data, creation automatic reports in tools as QuickSight and Power BI. Soft skills to communicate elaborated analysis.

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