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Collaborative Analysis of the Los Angeles Restaurant Market: A Team Effort

In a recent project, I collaborated with a team of five data scientists to develop an analytical system aimed at optimizing restaurant investments in Los Angeles. Leveraging data from Google Maps and Yelp, we conducted a comprehensive market analysis to provide actionable insights for a small investor. Our team utilized ETL processes, EDA, and Looker […]

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May data Science help reduce car accidents in buenos aires Argentina?

Analyzing Traffic Accidents in Buenos Aires: A Data-Driven Approach

In this project, I focused on analyzing traffic accidents in the Autonomous City of Buenos Aires (CABA) from 2016 to 2022. The objective was to uncover patterns and trends, helping inform policy decisions to improve road safety. Utilizing Python, SQL, and Power BI, I conducted an in-depth analysis that included ETL processes, exploratory data analysis

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Leveraging MLOps for a Steam Video Game Recommendation System

As a Data Scientist, my latest project involved developing a comprehensive video game recommendation system for Steam using MLOps principles. The project was a part of my learning journey in Henry’s Bootcamp, where I applied ETL, EDA, and machine learning techniques to real-world data. The primary goal was to build an API for sentiment analysis

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