A Data Analyst passionate about turning data into actionable insights.
I specialize in leveraging analytical tools and techniques to solve complex problems and support informed decision-making.
- 🔍 Data Analysis: Skilled in using tools like Python, SQL, Excel, and Power BI to explore data and extract actionable insights.
- 📊 Data Visualization: Creating clear and effective visualizations to communicate insights.
- 🔢 Statistical Foundation: Strong foundation in statistics for accurate analysis.
I'm on a continuous journey to enhance my data analysis skills.
I aim to transform raw data into actionable insights that help drive smarter business decisions.
End-to-end crisis recovery analysis for a food delivery startup using Python, SQL, and Power BI, focusing on orders, revenue, delivery performance, and customer retention.
Key Highlights:
- Analyzed how a major operational issue in June 2025 affected the business, focusing on orders, revenue, delivery timelines, and customer ratings.
- Identified a 61% decline in orders and 71% revenue loss, with delayed deliveries emerging as the main reason behind 83% customer churn.
- Used SQL and Python to clean and analyze operational data and understand where the business was losing customers and revenue.
- Created Power BI dashboards to monitor recovery performance by city and shared practical insights to help improve delivery efficiency and customer retention.
Tech Stack: Python, Pandas, SQL, Power BI
Analyzes customer shopping behavior using transactional data from 3,900 purchases across multiple product categories. The goal is to uncover insights into spending patterns, customer segmentation, product preferences, and subscription behavior to guide strategic business decisions.
Key Highlights:
- Analyzed 3,900+ retail transactions to understand how age groups, subscriptions, discounts, and shipping preferences affect customer purchasing behavior.
- Cleaned and structured customer data using Python, and used SQL to compare spending patterns across demographics, product categories, and subscriber types.
- Built an interactive Power BI dashboard to identify high-value customer segments and support pricing, promotion, and retention decisions.
- Shared insights on customer preferences and discount effectiveness to help improve sales strategy and customer targeting.
Tech Stack: Python, Pandas, SQL, Power BI
An end-to-end HR analytics project covering data cleaning, SQL querying, and dashboard development to uncover workforce insights.
Key Highlights:
- Salary distribution and compensation analysis
- Department-wise performance insights
- Hiring and workforce trend analysis
- Work type and attrition pattern study
Tech Stack: Python, PostgreSQL, Power BI, Excel
If you share a love for data, analytics, or problem-solving, or if you’d like to collaborate on exciting projects, I’d be glad to connect.
📩 Feel free to reach out to me at gauravxv0410@gmail.com
let’s create something impactful together!