M.S. Data Science candidate at University of North Texas. I build machine learning systems, deploy analytics pipelines, and transform complex datasets into clear, actionable business value.
Data scientist, entrepreneur, and perpetual learner based in Plano, TX.
I'm Likith Choudary, an M.S. Data Science student at UNT with a 4.0 GPA and a passion for building ML systems that solve real-world problems. From hate speech detection in code-switched Telugu-English text to large-scale behavioral analytics, I love bridging research and product.
Before UNT, I graduated with a B.Tech in Computer Science (Data Science) and gained hands-on experience as an Associate Business Analyst at Airbnb, a Data Science Intern at NSIC Ltd., and as a founder of two startups — a food franchise and a ride-hailing app.
I'm currently seeking summer internships in Data Science, ML, Business Analytics, or Product Management. CPT authorized and open to relocation.
M.S. Data Science · GPA 4.0 · 2025–2027
CPT authorized · Open to relocation
Founded Flavorotic food franchise & Flit Movers logistics app
Awarded scholarship by the Dept. of Data Science at University of North Texas
Always open to interesting conversations
A track record of delivering measurable results across analytics, operations, and data science.
From NLP classifiers to big data pipelines — here's a selection of my most impactful work.
Trained 5 classifiers (Random Forest, Logistic Regression, LinearSVC, Gradient Boosting, MLP) on synthetic datasets to detect hate speech in code-switched social media text. Published IEEE-format research report.
Designed a production-grade ML classification service with FastAPI, Redis caching, MLflow experiment tracking, and SHAP-based explainability. Included full UML communication diagrams.
Built predictive ML models for behavioral pattern detection using Logistic Regression, K-Means, and Random Forest on large-scale datasets processed with Spark and Hadoop.
Applied K-Means clustering for multi-dimensional user segmentation to support targeted marketing strategies. Delivered interactive dashboards for business stakeholders.
Ongoing research studying investment performance and value metrics for stock selection, analyzing P/E ratios as predictors of outperformance vs benchmark indexes.
Developed a Raspberry Pi-powered automated pet feeder system with scheduled feeding intervals and remote monitoring, demonstrating embedded systems and IoT integration.
Languages, frameworks, and platforms I work with day-to-day.