JobTrack AI
Python
Gemini AI
Flask
Google Sheets
Automated job application tracking system using Google Gemini AI to extract structured data from job descriptions, reducing manual data entry time by 94%. Built with Python Flask backend deployed on PythonAnywhere, integrated with Google Sheets API for real-time updates. Processes job postings in 6-10 seconds, auto-filling 13 fields including company, role, salary, skills, and requirements with 95% accuracy.
Customer Satisfaction Analysis
Tableau
Python
Comprehensive passenger satisfaction analysis using Tableau dashboards across 6 key service dimensions. Identified critical pain points: 33% rated cleanliness poorly, 50% found seats uncomfortable, and 25% reported poor in-flight service. Revealed that business class passengers are 3× more satisfied than economy, and friendly crew interactions boost repeat-booking intent by 30%. Analyzed age-based satisfaction patterns showing middle-aged travelers (30-60) have highest satisfaction scores.
NVIDIA Stock Analysis
Tableau
Excel
Interactive Tableau analysis tracking NVIDIA's 25+ year evolution (1999-2025) from graphics chip manufacturer to world's most valuable public company. Visualized adjusted close price trends, trading volume patterns, daily price range volatility, and volume-price correlations. Identified key growth periods including post-2016 AI/data center adoption, 2020-2021 pandemic-era surge across gaming/crypto/AI, and 2023-2024 explosive growth fueled by generative AI dominance. Highlighted major downturns during 2008 financial crisis and 2018 crypto bubble burst.
Airline Seating Analysis
PySpark
Tableau
Python
End-to-end airline analytics combining interactive Tableau dashboards with LSTM (Long Short-Term Memory) deep learning model for forecasting. Processed 3.3M airline operational records using Apache Spark for data cleaning and transformation. Built neural network to predict Delta Airlines' 2025 passenger volume with ~88% accuracy using 12 months of historical data. Created four comprehensive Tableau visualizations examining quarterly trends, passenger volume patterns, comparative metrics, and cargo analysis. Delivered analytical report and presentation deck with prediction vs actual performance comparisons.
Project Cook
Python
Excel
Flask
Recipe discovery web app solving the "Got ingredients, but no idea what to cook?" problem. Built with Flask backend and Python, enabling users to input available ingredients and receive matching recipe suggestions. Implemented smart "Sort by Time" functionality converting hours/minutes into comparable format for easy meal planning. Features clean, card-based UI displaying ingredients, cooking times, and preparation details. Helps users reduce food waste by utilizing existing pantry items to discover new dishes.
Houston Demographics Map
LeafletJS
JavaScript
HTML/CSS
Interactive neighborhood-level demographic explorer for Houston built with LeafletJS and JavaScript. Features click-to-explore functionality revealing demographic statistics for each neighborhood, with reset capability for easy multi-area comparison. Implements custom interactive layers and geographic data visualization using available census estimates. Provides accessible interface with user guide to help residents, researchers, and urban planners understand Houston's demographic distribution patterns across the city's diverse neighborhoods.
PDF to QR (Personal)
JavaScript
HTML/CSS
Supabase
PDF-to-QR converter enabling instant document sharing via scannable codes. Built with JavaScript and Supabase for secure cloud storage and public link generation. Features one-click file upload, QR code generation, and shareable link creation with copy functionality. Includes interactive particle system with responsive animations, "power level" meter tracking particle count (Idle → Turbo Mode → MAX POWER at 800+ particles), and dynamic gradient effects. Simplifies document sharing by eliminating manual link entry—just scan and access.
