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 developing a stock market prediction platform that brings together software, data pipelines, and ML modeling—culminating in an interactive dashboard to visualize forecasts and trends.
Education
University of Washington, Seattle
Relevant Coursework: Data Structures and Algorithms, Introduction to Data Science, Statistical Analysis in R, Databases, Econometrics, Object Oriented Programming, Intermediate Data Programming
Experience
Director
Sep. 2025 – PresentEat TogetherSeattle, WA
- Connected over 550 students through shared meals @The University of Washington.
Data Science Intern
Jun. 2025 – Sep. 2025FlyDubaiDubai, UAE
- 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.
Software Engineering Officer
Apr. 2025 – PresentSoftware Engineering Career ClubSeattle, WA
- 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.
Development Lead
Dec. 2024 – Sep. 2025Eat TogetherSeattle, WA
- 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.
Eat Together
Jan. 2024 – Dec. 2024Eat TogetherSeattle, WA
- 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
JavaPythonSQL(Postgres)JavaScriptHTMLCSSRReactNode.js
Tools & Frameworks
GitGoogle Cloud Platform(GCP)HomebrewFirebaseRStudioDockerbashAWS
Libraries
PandasNumPyMatplotlibSeabornGeopandasTensorFlowSciKitLearnTidyverse
Data Projects
Stock Market Analysis
Ongoing
PythonXGBoostScikit-learnPandasTableau
- Developing a predictive model using the last 10 years of SPY data for efficiency.
- Extending the model for real-time predictions via a BI dashboard and live data stream.
MacroScope
May 2025. - Jun. 2025
PythonGeopandasFoliumXGBoostScikit-learnPandasSeabornMatplotlib
- Processed 400K+ IMF records with Pandas/GeoPandas, integrating fiscal and balance-of-payments data, and built an interactive global economic map using Folium.
- Generated 6 trend charts with Seaborn/Matplotlib to visualize macroeconomic indicators and support inflation prediction insights.
- Improved prediction accuracy by 20%, reducing RMSE from 2.899 to 2.309 and maintaining MAE under 1.21 through Random Forest optimization, hyperparameter tuning, and data validation.
DataMed
Apr. 2025
PythonScikit-learnOptunaPandasNumpySeabornMatplotlib
- Awarded 3rd place for Best Machine Learning Model in the 6th DubsTech Datathon.
- Predicted avgerage costs for 1.2M healthcare records using Pandas and Scikit-learn, with 99% data retention.
- Engineered features with Scikit-learn's LabelEncoder, transforming 4 categorical variables for model readiness.
- Improved model accuracy by 3% for predictive modelling by tuning hyperparameters using Optuna.
March Madness vs. Regular Season
Jan 2025. - Mar. 2025
RR Studiotidyverseggplot2dplyr
- Analyzed 20 years of men's college basketball free throws across 300K+ rows from three datasets.
- Calculated 0.25 correlation between regular season free throws and NCAA tournament wins.
- Merged datasets, created 10+ analysis columns, cleaned missing values, and visualized success rates.
Software Engineering Projects
Bingo on the Ave
Apr. 2025
ReactNextTypeScriptGoogle Places API
- Developed Bingo on the Ave, a full-stack checklist site for students visiting essential UW locations, targeting 40,000+ students.
- Integrated geolocation and Google Search APIs with anti-cheating checks to track visits to 9 essential locations.
- Delivered fully functional, interactive prototype during April 2025 SWECCAthon, receiving 3rd place and positive feedback from 5 judges.
Fundit
Oct. 2024 – Jun. 2025
React NativeExpoFirebaseTypeScriptPlaid APIPolygon API
- Engineered a comprehensive stock overview feature using Polygon API and React Native, designed to boost user engagement with portfolio management by an estimated 15% and enhance personalized financial tracking.
- Designed and maintained a robust and scalable Firebase backend using Firestore and Storage, ensuring seamless real-time data flow for transactions and stock portfolios, achieving instant updates.
- Integrated Plaid API with React Native (Expo) to deliver a smooth, cross-platform mobile experience with secure financial data synchronization, targeting over 95% successful bank account linkages and a seamless experience.
Mentura
Oct. 2024
ReactNextAWS AmplifyPerplexity APIYouTube API
- Developed Mentura, a full-stack AWS Amplify platform potentially serving 3,000+ UW STEM freshmen.
- Integrated YouTube API to deliver 15 curated videos per concept, improving study material accessibility.
- Built AI-powered concept overviews via Perplexity API and delivered scalable prototype in 48 hours at DubHacks.
SAT Decoded
Jun. 2023 – Sep. 2024
HTMLCSSSailsJSPostgreSQLSendgrid API
- Created an open-source website targeting 800+ students preparing for the SAT for my IB Diploma.
- Improved accessibility to SAT resources through interactive quizzes and resource uploads.
- Built using HTML, CSS, PostgreSQL, and JavaScript with SailsJS, SendGrid API for email reporting.
