Hi, I'm Jivesh Kumar
A Data Analyst who believes every dataset
has a story worth telling.Skilled in Python, SQL, Power BI & Excel —
turning raw, messy data into clear dashboards
and actionable business insights.From analyzing 10,000+ customer records to
building interactive Power BI dashboards,
I solve real business problems with
data-driven thinking.
Project
Household Financial Analysis
End-to-end financial data analysis on 9,651 household records uncovering the impact of education, employment & regional inequality on wealth using SQL, Python & Power BI.
✅ 9,651 household records cleaned & analyzed
✅ 7 SQL queries (Basic + Advanced)
✅ 5 Python visualizations
✅ Interactive Power BI Dashboard with KPIs & Slicers
✅ Key insights on debt, income & spending patterns
🔧 Stack: Python | Pandas | SQLite | Power BI
Project
Marketing Campaign Analysis
Built an end-to-end data analysis project using
SQL & Python on Jupyter Notebook, backed by
an interactive Power BI dashboard.✅ Cleaned & analyzed 10,000+ records
✅ 12 SQL queries (Basic + Advanced)
✅ 5 Python visualizations
✅ Interactive Power BI Dashboard with KPIs🔧 Stack: Python | Pandas | SQLite | Power BI
Project
Customer Shopping Behavior
End-to-end data analysis project covering
data cleaning, SQL querying & interactive
Power BI dashboard with KPIs & slicers.✅ 10,000+ customer records analyzed
✅ 12 SQL queries (Basic + Advanced)
✅ 5 Python visualizations
✅ Interactive Power BI Dashboard
✅ KPIs • Slicers • 6 Charts🔧 Stack: Python | SQL | Power BI
Project
Vendor Performance Analysis
Retail Inventory & Sales
End-to-end data analysis project on vendor
performance, inventory turnover & bulk
purchasing impact using SQL, Python & Power BI.✅ 198 brands identified for promotions
✅ 72% cost savings in bulk purchasing
✅ $2.71M unsold inventory detected
✅ Top 10 vendors = 65.69% of purchases
✅ Hypothesis Testing with SciPy🔧 Stack: Python | Pandas | SQL | Power BI
Project
Zomato Data Analysis
Analyzed Zomato restaurant data using Excel
& Power BI to uncover hidden growth clusters,
pricing gaps & cuisine performance trends.✅ City-wise restaurant performance analyzed
✅ High-rated, low-volume restaurants identified
✅ Cost vs Rating correlation explored
✅ Interactive Power BI Dashboard built
✅ Tier-1 vs Tier-2 city segmentation done🔧 Stack: Excel | Power BI