SKILLSPython | Java | JavaScript | Neural Networks | Numpy | SQL | Tensorflow | PyTorch | Scikitlearn | OOP | Data Science | Machine Learning | Deep Learning | Natural language Processing | Computer Vision | Pandas | Keras | Django | React.js | HTML | PHP | R | Matlab | TableauEXPERIENCENOTARÍA 134Data Scientist | August 2021 - Present• Collected, Cleaned, Preprocessed and Analyzed data from Google Business Profile identifying key determinants driving monthly calls and visits.• Developed predictive models to forecast periods of high demand.• Utilized call completion records and call timing data to create models that identified optimal timeframes for call handling, subsequently improving conversion rates and overall call volume.• Translated insights into actionable strategies, collaborating cross- functionally to enhance performance through targeted improvements. Resulting in a % increase in calls and visits through Google Maps.• Crafted visually compelling dashboards and data visualizations, enabling effective communication of complex insights to non-technical stakeholders.STARTUPAI Engineer | January 2022 - Present• Spearheaded the development of cutting-edge AI solutions within a burgeoning startup focused on personal finance management.• Leveraged Convolutional Neural Networks (CNNs), Object Detection, and the YOLO (You Only Look Once) framework to design an innovative application.• Engineered an intelligent receipt and invoice scanning application that extracts vital transaction details.PROJECTS• Desktop application for digit recognition, utilizing a custom-built Neural Network.• Football Matches Prediction Model employing Scikit-learn’s Random Forest Classifier.• Supermarket Customer Segmentation using K-Means.• Sports Betting Arbitrage Scraper through Selenium.• Telecom Company Churn using a self-implemented Logistic Regression Model• Enhanced Credit Card Fraud Detection using Snap ML.• Python implementations (relying solely on Numpy and Pandas) of a variety of models, including Decision Trees, Random Forests, NN, CNN, RNN, and YOLO v1.