I turn data into actionable business intelligence. With a B.Com in Accounting & Finance and expertise in Power BI and SQL, I specialize in building data-driven narratives that stakeholders can act on.
- 🎓 Final-year B.Com (Accounting & Finance) student at KNIT Sultanpur
- 📊 4 end-to-end analytics projects deployed across e-commerce, retail, ride-hailing, and streaming industries
- 💼 Finance-native — I understand P&L, margins, and cost structures, not just create dashboards
- 🔍 Expertise in transforming 100K+ records into decision-ready dashboards
- 🚀 Proven ability to communicate insights to non-technical stakeholders
- 🌱 Currently expanding into Python (Pandas) and advanced SQL
- 💡 Open to: Data Analyst roles (Full-time/Internship) & Freelance projects
- 📍 Location: Noida, Uttar Pradesh, India
| 4+ Projects Deployed |
350K+ Data Points Analyzed |
5 Domain Expertise |
3 Professional Certifications |
Proficiency: ⭐⭐⭐⭐⭐ | 5+ dashboards, interactive filters, DAX formulas
Proficiency: ⭐⭐⭐⭐☆ | Joins, Window Functions, CTEs, Aggregations
Proficiency: ⭐⭐⭐☆☆ | Currently expanding — Data cleaning, EDA
- 📈 Data Storytelling — Translating insights into business narratives
- 🤝 Stakeholder Communication — Presenting to both technical and non-technical audiences
- 📋 Project Management — End-to-end analytics workflow execution
- 🎨 UX/UI Sense — Building intuitive, user-friendly dashboards
Power BI | 5 Pages | 103K+ Bookings | ₹35M Revenue Analyzed
Engineered a comprehensive operational dashboard analyzing OLA's July 2024 booking ecosystem. The dashboard provides real-time insights into:
- Booking Performance: Trend analysis, peak hours, and demand forecasting
- Vehicle Analytics: Fleet utilization, vehicle-wise revenue breakdown
- Revenue Metrics: Daily/weekly trends with 15% variance analysis
- Quality Metrics: Cancellation root causes, driver & customer satisfaction ratings
Key Achievement: Identified high-cancellation time windows, suggesting operational bottlenecks
🔗 View Repository | 📊 Interactive Dashboard
Power BI | Custom Netflix Branding | 85.3K Views | 10 Countries
Built a visually branded entertainment analytics dashboard tracking viewing behavior across multiple regions. Features include:
- User Engagement: View counts by genre, time-of-day patterns, device preferences
- Geographic Insights: Country-wise subscription and streaming trends
- Content Performance: Top shows, stream quality metrics, completion rates
- Interactive Filters: Genre, region, and device slicers for dynamic exploration
- Engagement Trends: Peak streaming hours and seasonal patterns
Key Achievement: Discovered that 60% of views happen after 8 PM, informing content release strategies
🔗 View Repository | 📊 Interactive Dashboard
Power BI | 4 US Regions | YoY Analysis | Profit Optimization
Developed a region-filtered dashboard enabling store leadership to monitor performance across geographies. Includes:
- Sales Performance: Regional breakdown, product category trends, segment analysis
- Profitability: Profit margins by region and category, discount impact analysis
- Shipping Efficiency: Mode-wise performance, delivery time metrics
- YoY Comparison: 2019 vs 2020 trend analysis with growth rates
- Drill-Down Capability: State-level and city-level granularity
Key Achievement: Identified that West region underperformed by 12%, enabling targeted intervention
🔗 View Repository | 📊 Interactive Dashboard
Microsoft Excel | 103K+ Orders | 6 E-Commerce Platforms | Dynamic Reporting
Created a comprehensive Excel-based analytics suite for Vrinda Store's 2022 performance across India's major e-commerce platforms (Amazon, Flipkart, Myntra, Meesho, Ajio). Deliverables:
- Sales Performance: Revenue trends, order volume by platform, seasonal patterns
- Customer Insights: Gender demographics, age group analysis, purchasing behavior
- Geographic Coverage: State-wise sales distribution, regional performance
- Fulfillment Metrics: Order status tracking, return rates, customer feedback
- Interactive Slicers: Dynamic filtering by platform, month, region, and product type
Key Achievement: Revealed that female customers drive 65% of revenue, reshaping marketing strategy
🔗 View Repository | 📥 Download Excel File
| Certification | Issuer | Year | Skills Covered |
|---|---|---|---|
| 📜 Business Analytics with Excel | Simplilearn | 2024 | Pivot tables, VLOOKUP, conditional formatting, dashboard design |
| 📜 SQL Analytics and BI on Databricks | Simplilearn | 2024 | SQL optimization, cloud-based analytics, Databricks workspace |
| 📜 Introduction to Data Analytics | Simplilearn | 2023 | Data fundamentals, EDA, visualization principles |
🔨 Building Projects
├─ Python + Pandas data cleaning pipelines
├─ Advanced Excel (XLOOKUP, LET functions)
└─ Real-time dashboarding experiments
📚 Skill Development
├─ Intermediate SQL (Window functions, CTEs, performance tuning)
├─ Data storytelling with Tableau
└─ Statistical analysis fundamentals
🎓 Certifications in Progress
└─ Microsoft PL-300 Power BI Certification (Q3 2024)
I'm always open to discussing data projects, collaborations, or career opportunities. Here are the best ways to reach me:
💡 "Data is a story waiting to be told. I help tell it right." — Always open to opportunities, feedback, and collaboration.