Aspiring Data Analyst with a passion for turning raw data into actionable insights. Skilled in SQL, Python, Tableau, and Machine Learning, with hands-on experience across real-world analytics projects.
Download CVSQL, Python (Pandas, NumPy)
Tableau, Matplotlib, Seaborn
Scikit-learn, XGBoost, AutoML
Excel, GitHub, Jupyter, ArcGIS
Analyzed employment data to uncover patterns, trends, and insights for workforce planning and policy-making.
View Project →Explored relationships between 311 complaints and motor vehicle collisions using data analysis and visualization techniques.
View Project →Interactive Tableau dashboard visualizing 1.2M+ collision records (2010–2023) with insights on causes, weather, and driver behavior.
View Dashboard →Interactive StoryMap helping students find ideal study locations using GIS and location analysis.
View StoryMap →Fine-tuned models using reinforcement learning with synthetic human feedback. Explored reward modeling and optimization.
View Notebook →Predicted heart disease using AutoML pipeline optimization with TPOT. Automated feature engineering & hyperparameter tuning.
View Notebook →Applied NLP, sentiment analysis, and topic modeling (LDA) to analyze open-ended survey responses for insights.
Source Code →