About Me
Hi! I'm Navneeth
I'm currently a Bachelor's student at the University of Washington, specializing in Data Science under the iSchool, with a second degree in Economics. My primary interests lie in Software and Data Engineering, with a growing focus on the intersection of Machine Learning and economic applications.
Outside the classroom, I'm the incoming director at Eat Together, a platform helping students connect over shared meals. I also contribute to the Software Engineering Career Club, building tools and community through an in house Resume Review platform, SWECC Labs and other projects to support students in becoming better engineers.
I'm currently building IsoCourt, an AI badminton coach using computer vision and the latest language models to give you actionable feedback.
Education
University of Washington, Seattle
Relevant Coursework: Data Structures and Algorithms, Introduction to Data Science, Statistical Analysis in R, Databases and Data Modelling, Econometrics, Object Oriented Programming, Intermediate Data Programming, Core Methods in Data Science
Experience
Data Science Intern
Developed highly accurate ML models for flight delay prediction and operations optimizations.
- Developed models to predict flight delay accuracy for 600,000+ rows and 90+ features with an 80% R².
- Enhanced model prediction by 8% by performing EDA on 50+ numerical features.
- Performed Experiments on 3 weather APIs to find the data optimal for the model.
- Optimized operational efficiency by 3% through a PuLP-based linear programming optimizer in Python.
- Achieved 30% improvement in sentiment analysis accuracy by testing 3 prompting techniques on Amazon Bedrock.
Mentoring 35+ students in open-source development and improving job search platforms.
- Led SWECC Labs, mentoring 35+ students to open-source development for career growth.
- Improved the job search process for 2000+ aspiring software engineers by developing and enhancing platforms across 38+ repositories.
Led a cross-functional team of 6 developers in building cross-platform engagement features.
- Led a team of 6 developers for a student-led startup by enhancing engagement for 500+ users.
- Added 30 users by redeveloping the website, app availability selection, and developing a community Discord bot.
- Reduced code review time by 20% through hands-on workshops and feedback sessions, mentoring 20+ developers in React Native(Expo), Git, and Google Cloud Platform for a cross functional developmental cohort of 35.
Developed media galleries, integrated Firebase, and scaled the app by minimizing load.
- Enhanced media management by developing a photo gallery using React Native and Expo Image Picker.
- Integrated Firebase for seamless image storage and retrieval, optimizing app performance and user interaction.
- Scaled the app to 400+ users by enhancing core functionality through batch processing and load reduction.
- Resolved 35+ bugs and 8+ critical issues, improving app stability and user experience.
Skills
Languages
Tools & Frameworks
Libraries
Selected work
Data Projects
Stock Market Analysis
Ongoing
Predictive model for SPY stock data, visualizing real-time financial insights via BI dashboard.
OngoingPythonXGBoostScikit-learn+2MacroScope
May 2025. - Jun. 2025
Interactive global economic map predicting inflation trends across 400K+ IMF fiscal records.
May 2025. - Jun. 2025PythonGeopandasFolium+5DataMed
Apr. 2025
Award-winning ML model optimizing healthcare cost predictions across 1.2M medical records.
Apr. 2025PythonScikit-learnOptuna+4
Engineering work