jesusc1 / imdb-data-analysis-exercise-part-1

Utilized Python tools to delve into IMDb data, uncovering trends in title releases and viewer preferences. Visualized patterns in genres and title runtimes, offering insights into evolving media consumption. Applied regression models like linear, polynomial, and random forest to predict title ratings, revealing factors impacting viewer choices.

Jesús Cantú Jr.

About Me 😎

I am a results-driven Data Scientist currently based in Chicago, IL. With a strong foundation in multiple programming languages and software tools, I leverage my technical expertise and research experience to excel in data analytics and machine learning tasks. I have extensive experience in applying a wide range of techniques, including Deep Learning/Neural Networks, Unsupervised Learning, Regression models, and Data Wrangling/Visualization.

I hold a M.S. in Software Engineering from Loyola University-Chicago (2023) 🐺, and a B.A. in Sociology from Princeton University (2017) 🐯. I consider myself an interdisciplinary and data-driven problem solver with a passion for science, technology, and their application for the betterment of mankind.

Connect with me 🤝

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

Skill Set 📚

👨‍💻 Programming and Markup Languages

🧰 Big Data Technologies and Machine Learning

🗄️ Databases and Cloud Computing Services

💻 Data Science Software and DevOps Tools

🧠 Currently Learning

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Credit: jesusc1

Last Edited on: 07/31/2024