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.

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

Neural-Powered Movie Discovery

Advanced recommendation server using neural collaborative filtering, NLP, and real-time inference via MCP.

TensorFlow 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 →

Technical Skills

A comprehensive toolkit spanning machine learning, data science, and software development, honed through academic projects and professional experience.

Programming Languages

Python Advanced
Java Intermediate
C++ Intermediate
SQL Advanced
Swift Beginner
JavaScript Beginner

ML & Data Science

TensorFlow Intermediate
Keras Intermediate
Scikit-learn Intermediate
Pandas Advanced
NumPy Advanced
Matplotlib Intermediate

ML Specializations

Deep Learning Intermediate

Neural Networks, CNNs, RNNs, Transformers

Natural Language Processing Intermediate

Text Classification, Sentiment Analysis, Feature Engineering

Recommender Systems Beginner

Collaborative Filtering, Content-Based, Hybrid Systems

Developer Tools

Git Intermediate
Jupyter Advanced
PostgreSQL Advanced
Flask Beginner
Docker Beginner
MCP Intermediate

Get In Touch

I'm always interested in discussing new opportunities, innovative projects, or potential collaborations in the ML/AI space. Let's connect!

Email

lakshya14wrk@gmail.com

LinkedIn

linkedin.com/in/lakshyabhatia14

GitHub

github.com/Bokuto14