🎓 Computer Science Student (GPA: 3.8/4.0) | 💡 AI & Data Enthusiast | 🧠 Lifelong Learner
I'm passionate about building scalable systems, solving complex problems with AI, and making technical concepts accessible. My work spans AI algorithms, data engineering, systems programming, and interactive learning platforms.
A beginner-friendly, notebook-based Python learning series designed for hands-on learning using Kaggle and Jupyter. Perfect for anyone starting their Python journey.
Tech: Python, Jupyter, Pandas
Implemented 7 AI search algorithms (A*, Greedy, UCS, BFS, DFS, DLS, IDS) with a weighted Manhattan heuristic. A* expanded 95× fewer nodes than UCS (64 vs 6,068) while preserving optimal solutions across 181k-state puzzle search space.
Tech: Python, Graph Search, Priority Queues, Heuristic Design
A thread-safe office-hours simulator with locks and condition variables (capacity: 3 students). Features fairness logic, automated breaks, real-time Rich terminal dashboards, and CSV ingestion pipeline for queue analytics.
Tech: Python, Multithreading, Synchronization, Rich CLI
A production-grade Unix-style shell supporting pipe streaming, redirection, and 50-entry history. Includes dual CLI/Tkinter GUI, robust error recovery, and processes 1k+ commands without crashes or memory leaks.
Tech: Python, POSIX Concepts, CLI/GUI, System Programming
Processed RecordingAcademy.com traffic with Pandas; identified 54.9% session duration increase (83s→129s) and 7.91pp bounce rate reduction post-split. Surfaced 43x Grammy-night traffic spikes and 68% mobile usage patterns.
Tech: Python, Pandas, Plotly, Statistical Analysis
Analyzed 8,706 listings; uncovered 2.5x pricing premium for entire homes ($325 vs $191/night), driving 75% platform revenue. Applied statistical hypothesis testing to identify professional hosts (5+ properties) achieving 1.7x booking velocity.
Tech: Python, Pandas, Plotly, Data Analytics
Aggregated 271,116 Olympic records (30+ sports / 100+ countries) with Pandas; ranked countries by medal performance and identified sport-specific longevity trends. Interactive dashboards comparing Winter vs Summer Games across athlete metrics.
Tech: Python, Pandas, Plotly, Data Aggregation
Languages: Python, C, Java, SQL
Data & AI: Pandas, Plotly, Jupyter, Statistical Analysis, Heuristic Search, LLM Integration
Tools & Platforms: Git, Linux, VS Code, Excel/Google Sheets, Tableau/Plotly
Core Competencies: ETL Pipelines, Algorithm Design, Systems Programming, Data Visualization, Full-Stack Problem Solving
“Adaptability and consistency lead to impact.”