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jesusc1/README.md

Jesús Cantú Jr.

Coding Cat

About Me 😎

Machine Learning Engineer & Data Scientist with over a decade of multidisciplinary research experience, specializing in algorithm design and implementation to address complex business and research challenges. With a strong foundation in data science, I excel in leveraging machine learning, deep learning, and statistical modeling to transform raw data into actionable insights.

I hold an M.S. in Software Engineering from Loyola University Chicago (2023) 🐺 and a B.A. in Sociology from Princeton University (2017) 🐯. My unique combination of technical expertise and a sociological perspective enables me to deliver comprehensive end-to-end solutions, applying science and technology to solve impactful real-world problems.

Connect with me 🤝

LinkedIn Email Calendly

I write blogs to stay up-to-date with topics on computer science, data science & engineering. Check out my Medium blog!

📚 Skill Set

👨‍💻 Programming Languages

Python R SQL Bash

🧰 ML & Data Science Tools

PyTorch Tensorflow Scikit-learn Pandas NumPy Matplotlib OpenCV spaCy Spark

☁️ MLOps & Cloud Technologies

AWS AWS SageMaker Google Cloud Platform MLflow Docker Git Jira Confluence

🗄️ Databases

MySQL PostgreSQL MongoDB SQLAlchemy

💻 Dev Tools & Environments

Jupyter Google Colab Visual Studio Code R Studio Power BI

Last Edited on: 03/27/2026

🧠 Currently Learning

HTML JavaScript Node.js

GIF

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Last Edited on: 03/27/2026

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  1. Speech-to-Text-ChildVoice-AI Speech-to-Text-ChildVoice-AI Public

    This project leverages cutting-edge libraries and speech recognition cloud service providers like Google Cloud, AWS, IBM Watson, and Azure to transcribe audio, particularly focusing on children's v…

    Jupyter Notebook 1

  2. Chicago-Public-Libraries-Usage-Analysis Chicago-Public-Libraries-Usage-Analysis Public

    Mapped Chicago libraries and analyzed post-2020 visitation declines using Python, highlighting COVID-19's impact. Conducted statistical tests to validate trends and offered data-driven insights to …

    HTML

  3. Predicting-Federal-Aid-Uptake-with-R Predicting-Federal-Aid-Uptake-with-R Public

    Using R tools like ggplot2 and dplyr, analyzed small business data to understand uptake patterns for federal aid. Employed logistic regression and decision trees to pinpoint key predictors. Explore…

    HTML

  4. IMDb-Data-Insights IMDb-Data-Insights Public

    Analyzed IMDb data using Python to uncover trends in title releases, genres, and runtimes, offering insights into evolving viewer preferences. Applied regression models like linear, polynomial, and…

    Jupyter Notebook 1

  5. Mining-Software-Repositories Mining-Software-Repositories Public

    Utilized Python, PyDriller, and the GitHub API to mine GitHub repositories, capturing commits, issues, and code sizes. Visualized patterns and computed repository metrics, offering a detailed persp…

    Jupyter Notebook

  6. Chicago-Spatial-Analysis Chicago-Spatial-Analysis Public

    Utilized R to analyze data from Chicago, focusing on healthcare infrastructure and socioeconomic factors. Geo-visualized city metrics to reveal areas with shared socioeconomic attributes. Identifie…

    R