I am an aspiring data analyst with a strong passion for uncovering insights from data. My journey into data analysis began with online courses and personal projects, and I have since developed skills in data cleaning, visualization, and analysis using tools like Python, SQL, and Tableau. I am motivated by the challenge of solving real-world problems and enjoy working on projects that push me to learn and grow.
Analyzed regional and category-level sales data to identify YoY growth trends, profit drivers, and high-performing products using interactive visual exploration.
Investigated flight records to detect delay causes, temporal trends, and geographic hotspots, comparing airport efficiency and airline reliability.
Studied historical stock data of FAANG companies to track price movements, visualize market trends, and compare performance using moving averages and correlations.
Explored housing price data to reveal neighborhood-specific trends, property-type variations, and long-term market shifts through price distributions and heatmaps.
Examined patient readmission data to uncover key risk indicators, departmental performance, and patterns in hospital length of stay.
Assessed bike-share usage to evaluate seasonal demand, ride frequency, and behavioral differences between casual riders and annual members.
Analyzed wearable fitness data to understand daily activity levels, sleep quality, and user wellness behavior patterns.
Complex queries, performance tuning
ETL processes
Pandas, NumPy, Matplotlib
Data automation
Interactive dashboards
Calculated fields
DAX formulas
Data modeling
Advanced formulas
Macros, Power Pivot
Statistical analysis
Data visualization
Cleaning, transformation
Feature engineering
Regression analysis
Hypothesis testing
Insight communication
Executive summaries
Machine learning
Forecasting techniques
KPI development
Metric tracking
Documentation
Quality standards
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