I'm a Data Analyst with hands-on experience in enterprise data validation, business intelligence, ETL workflows, and predictive analytics, building scalable solutions that improve data quality and support informed business decisions.
A curated collection of data analytics and business intelligence projects showcasing my experience in SQL, Python, Tableau, Power BI, ETL workflows, predictive analytics, and data visualization. These projects demonstrate my ability to transform complex datasets into actionable insights across industries including government, aviation, energy, healthcare, and mobility.
Analyzed 984K+ Delta Air Lines flight records to identify delay patterns, route performance, and operational trends through interactive Tableau dashboard.
Visualized UEFA Champions League data using Tableau, showcasing Top players, Coaches, Goals while delivering an engaging and interactive dashboard to explore historical performance metrics.
Analyzed 86K+ U.S. credit card complaints using Tableau to identify billing disputes, response times, and state-wise complaint trends through interactive dashboards.
Designed an interactive Tableau dashboard analyzing 140K+ road accidents and 195K+ casualties to identify safety trends across weather, road conditions, vehicle types, and accident locations.
Developed an interactive Power BI dashboard to analyze Amazon product sales, tracking over $21M in YTD revenue, product category performance, and weekly trends. Included filters for product category and quarter, along with top-performing products by sales and reviews.
Developed a Power BI dashboard analyzing workforce metrics across 1,400+ employees, visualizing attrition, job satisfaction, demographics, and departmental performance to support HR decision-making.
Analyzed Netflix movies and TV shows using SQL to solve 15 business problems, uncovering trends across genres, countries, release years, audience ratings, and top-performing content.
Built a geospatial mapping system using OpenStreetMap, Python, and PostGIS to visualize spatial networks, optimize shortest-path algorithms, and improve data retrieval for real-time navigation.
Developed machine learning models using Logistic Regression, SVM, and Naive Bayes to predict NIFTY-50 price movements with up to 93% accuracy using 470K+ records from 52 companies.
Analyzed 91K+ U.S. health records using SQL, K-Means, and OPTICS clustering to identify dietary trends, disease patterns, and public health insights.
SQL is at the core of my analytics workflow, enabling me to clean, transform, validate, and analyze structured data across diverse business domains. From enterprise data validation to predictive analytics, I leverage SQL to uncover insights that support informed business decisions.
Take a look at some of my Tableau dashboards—ranging from Delta Airlines analysis and UEFA Champions League stats to Credit Card Complaint Trends, Weather visualizations, and many more. Each project showcases my ability to turn raw data into intuitive, interactive visualizations that tell a compelling story and drive data-informed decisions.
Explore a variety of Power BI dashboards I’ve developed—from sales performance insights on Amazon products and HR analytics to ride analysis for Uber bookings. These dashboards are designed to simplify large datasets, highlight business trends, and support strategic decisions through dynamic, interactive visuals tailored for operational clarity.