Analyze retail sales data using SQL and Python. Build a SQLite database from CSV, run SQL queries for key KPIs (revenue, top products, AOV, trends), and visualize results with Matplotlib. A portfolio-ready project demonstrating SQL + data analytics + reporting automation.

📊 End-to-end Vendor Performance Analysis project using Python (ETL & EDA), SQL (data modeling), and Power BI (Dashboards) to analyze vendor profitability, cost efficiency, and inventory optimization — turning raw data into actionable business insights.

Tactical and performance insights from UEFA Champions League data (2020–2022) using Snowflake SQL and Python visualizations.

🌸 Excel-based Sales Analysis project using Power Query, Power Pivot, and interactive dashboards — analyzing Ferns & Petals' product, order, and customer data.

A curated collection of data analytics and visualization projects using Python, SQL, Power BI, and real-world datasets. Each project demonstrates end-to-end analysis, from data cleaning and EDA to modeling and insights for business and public impact.

Analyzed user engagement and feedback data to derive actionable insights for an online learning platform.

Rakshayani Thyagu's Portfolio

Data analysis on Uber ride data using Python and visualization libraries.

Welcome to the Data Analyst Portfolio – a curated collection of data analysis projects where I explore diverse domains through the lens of a data analyst and a data storyteller.

SQL project analyzing Chinook Music Store's sales data to uncover customer behavior, sales trends, and strategic insights.

HR Analytics project using SQLite — employee data analysis (departments, salaries, hires, terminations)

End-to-end Bank Marketing campaign analysis using SQL and Power BI — customer behaviour, campaign success, and actionable business insights.

🏦 Analyze bank marketing campaigns to enhance customer engagement and ROI using SQL, Power BI, and Excel for data-driven insights and strategies.

📊 Analyze HR employee data to gain insights into workforce composition, department structure, and salary trends using SQLite and SQL.