Aspiring Data Scientist at Michigan State University
Focused on Python, SQL, data pipelines, and reproducible workflows

I am a data science student at Michigan State University with experience working on data analysis, cloud computing, and SQL projects. I enjoy turning raw data into simple insights using Python and data tools.

I am interested in building end-to-end data pipelines and learning how data science is used in real-world problems. I like working on projects that involve coding, analysis, and clear explanations of results.

AWS NYC 311 Data Pipeline
Built a cloud pipeline using AWS to process NYC 311 complaint data. Focused on cleaning data, storing it in S3, and analyzing complaint trends and resolution times.
Repo: https://github.com/chaud114/aws-nyc311-chaud114.git

Homework 1 Project Professionalization
Improved a messy data science project by organizing files, setting up environments, and adding Docker for reproducibility.
Repo: https://github.com/chaud114/cmse492-hw01-chaud114.git

Homework 2 SQL Analysis with Sakila
Used SQL to analyze customer and rental behavior with joins, aggregation, CTEs, and window functions in a Docker MySQL setup.
Repo: https://github.com/chaud114/cmse492-hw02-chaud114.git

Python
SQL
AWS basics
Git and GitHub
Docker
Data cleaning and analysis

GitHub: https://github.com/chaud114
LinkedIn: https://www.linkedin.com/in/megha-chaudhari-3802b0290
Email: chaud114@msu.edu

To build strong data science projects that turn messy data into clear and useful insights.