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abhi03985/README.md

Hi 👋, I'm Abhinav Verma

Data Analyst | Power BI · SQL · Excel | B.Com Finance | Noida, India

LinkedIn Gmail GitHub


👨‍💻 About Me

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

🎯 Key Highlights

4+
Projects
Deployed
350K+
Data Points
Analyzed
5
Domain
Expertise
3
Professional
Certifications

🛠️ Tech Stack

Business Intelligence & Visualization

Power BI Excel Tableau

Proficiency: ⭐⭐⭐⭐⭐ | 5+ dashboards, interactive filters, DAX formulas

Data & Databases

SQL Databricks

Proficiency: ⭐⭐⭐⭐☆ | Joins, Window Functions, CTEs, Aggregations

Programming & Data Manipulation

Python Pandas

Proficiency: ⭐⭐⭐☆☆ | Currently expanding — Data cleaning, EDA

Soft Skills

  • 📈 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

📂 Featured Projects

🚖 OLA Ride-Hailing Analytics Dashboard

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


🎬 Netflix Streaming Analytics 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


🏪 Super Store Multi-Region Sales 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


🛍️ Vrinda Store Annual Sales Report 2022

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


🏅 Achievements & Milestones


💻 Tools & Technologies Mastered


🏆 Certifications & Credentials

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

🎯 Current Learning & Growth

🔨 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)


📞 Let's Connect!

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.


Profile Views

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