Luis Castro

About

I'm a data scientist with experience in deriving insights from data to drive business decision-making. My skills encompass a wide variety, ranging from data extraction and cleaning, to data analysis, to data visualization and presentation. My technical skills are as follows: 1) SQL 2) Python for Data Analysis (Pandas, NumPy, Matplotlib) 3) Python for Machine Learning (Scikit-learn, PyTorch) 4) Exploratory Data Analysis

Experience

• Data Science Micro-Intern · Microsoft01-01-2023 – 02-01-2023

  * Created explanatory metrics and visuals to identify websites that spread Russian disinformation and propaganda through Pandas * Presented recommendations to the Microsoft Digital Threat Analysis Center (DTAC) of opportunities to detect and defend from cyber influence operations, propagating up to major stakeholders such as Bill Gates and the United Nations

• Data Science Intern · Meta05-01-2022 – 08-01-2022

  * Published a comprehensive Messenger churned user analysis and presented recommendations to the team of key opportunities for future experiments, design considerations for feature development, and project prioritizations for H2 roadmapping through SQL * Implemented a random forest machine learning model to rank drivers of churn and predict user churn through Python

• Data Science Intern · Instagram06-01-2021 – 08-01-2021

  * Investigated the current state of video ads on Instagram Stories and Instagram Feed through the analysis of key metrics and generated insightful visualizations using SQL * Presented recommendations to improve sound, text, and speed performance for video ads to the IG for Business (IG4B) team

• Software Product Sprint (SPS) Participant · Google02-01-2021 – 06-01-2021

  * Collaborated with two peers in designing and implementing My College Aid, a web application that serves as a resource center for underserved undergraduate students * Leveraged Java, JavaScript, HTML, and CSS and various Google Cloud Platform APIs, including App Engine and Datastore * Practiced industry best practices, such as: contributing to open-source software using Git and GitHub, conducting code reviews, participating in distributed development, designing new components, and leading them to completion

• Undergraduate Research Assistant · MIT GOV/LAB06-01-2020 – 09-01-2020

  Making Governments More Transparent: Using Big Data and Experiments to Change Government Behavior * Built regression models to draw insights from the information transparency scores of 8,000 U.S. local governments with Python * Improved web scraper to include command line utility and retain website directory structure when extracting files and text

Education

• Massachusetts Institute of TechnologyBachelor of Science, Computer Science and Engineering

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