Hi, I'm
Lakshya Bhatia Lakshya Bhatia

Machine Learning & Data Science Engineer

As a recent Computer Science graduate from Arizona State University, I am passionate about leveraging data to build intelligent and impactful solutions. My goal is to solve complex, real-world problems using machine learning and deep learning techniques. I am constantly exploring new technologies and am eager to contribute to innovative projects in the DS/ML field.

View Resume

Experience & Education

Software Engineering Intern

MogliX

Jun '22 - Aug '22

  • Engineered data pipeline architecture using Python and SQL, improving data accuracy by 25%.
  • Performed statistical analysis on employee database metrics to identify optimization opportunities.
  • Developed automated data validation and cleaning procedures using Python.
  • Created interface dashboards to visualize database performance metrics.

Teaching Assistant (C++ & Java)

School of Computing and Augmented Intelligence, Arizona State University

Aug '23 - Dec '24

  • Analyzed student performance metrics using Python and Pandas.
  • Created data visualizations with Matplotlib to track student progress.
  • Implemented automated grading scripts, increasing efficiency by 40%.

Arizona State University

Bachelor of Science in Computer Science

Graduated May 2025

GPA: 3.6/4.0 | Minor in Business

Machine Learning Projects

AI Movie Discovery MCP Server

An AI-powered MCP server with a hybrid recommender, NLP sentiment analysis, and mood-based search.

Python PostgreSQL MCP NLP
GitHub →

Deep Learning Loan Repayment Prediction

A Keras model to predict loan repayment, achieving 90% accuracy on a dataset of 390,000+ loans.

TensorFlow Keras Deep Learning
GitHub →

NLP Yelp Review Classifier

A text classification pipeline achieving 94% accuracy in classifying 10,000 Yelp reviews as positive or negative.

Scikit-learn NLP Text Processing
GitHub →

Movie Recommender System

An item-based collaborative filtering model to recommend movies based on 100,000+ user ratings.

Pandas Collaborative Filtering
GitHub →

Vibe Coding

Team & Tournament Generator

A full-featured web app to create balanced teams based on skill and generate complete tournament schedules with knockout stages.

JavaScript HTML/CSS Side Project
Try it Live View on GitHub →

Skills

Languages

  • Python, Java, C++, SQL, Swift

ML Libraries & Frameworks

  • TensorFlow, Keras, Scikit-learn
  • Pandas, NumPy, Matplotlib, Seaborn

ML Concepts & Techniques

  • Deep Learning, NLP, Recommender Systems
  • Feature Engineering, Data Cleaning, Text Preprocessing

Developer Tools

  • Git, Jupyter Notebook, HTML/CSS, Flask, MCP