Professional Summary

  • Data Analysis Specialist: Proven expertise in transforming raw business data from multiple sources into actionable insights through comprehensive reporting solutions and dashboards
  • Multi-Source Data Integration: Expert in consolidating data from multiple sources, performing complex Extract Transform & Load (ETL), operations, and creating unified datasets from CSV, Excel, databases, and API sources
  • Custom Reporting Framework Developer: Delivered 12+ distinct report types covering sales analytics, inventory optimization, and profitability analysis for retail and e-commerce brands
  • Client Portfolio: Successfully serving multiple brands including Twin Bird, House Of Vedas, Lite Store, Ackross Home Decor and Meeranshi with tailored analytical solutions driving measurable business impact
  • Academic Foundation: Currently pursuing BS in Data Science and Applications from IIT Madras (Second Year), combining formal education with practical industry experience
  • Business Intelligence: Strong foundation in statistical analysis, database management, and data visualization, with demonstrated ability to translate complex data patterns into clear visual narratives
  • Impact-Driven Results: Delivered insights enabling 30% reduction in overstock, 25% improvement in inventory turnover, and 15% increase in profit margins across client organizations
  • Technical Versatility: Proficient in Python, SQL, Excel (Advanced), and various data processing tools for end-to-end analytics solutions

Key Clients & Partnerships

Twin Bird
️ House Of Vedas
Lite Store
Meeranshi

Portfolio Showcase

Core Competencies & Technical Expertise

Competency Area Technologies & Skills
Data Analysis Advanced Excel (Pivot Tables, Power Query, Macros, VBA), SQL (MySQL, PostgreSQL), Python (Pandas, NumPy), R Programming, Statistical Analysis
Business Intelligence Dashboard Design, KPI Development, Data Visualization, Automated Reporting, Real-time Analytics
Database Management MySQL, PostgreSQL, Database Design, Query Optimization, ETL Workflows, Data Migration, Stored Procedures
Data Integration Multi-source data consolidation, ETL (Extract, Transform, Load), data standardization, duplicate removal, data quality assurance, format conversion (CSV, Excel, JSON, XML), API data extraction, data merging & joining, data validation & verification
Statistical Methods Descriptive & Inferential Statistics, Time Series Analysis, Product Series Analysis and Forecasting
Inventory Analytics Stock-to-Sale Ratios, Turnover Analysis, Dead Stock Identification, Fast-Moving Items, Reorder Point Calculations
Financial Analysis P&L Reporting, Margin Analysis, Cost Attribution, Revenue Analysis, Profitability Tracking, Break-even Analysis
Programming Python, SQL, VBA, PHP, Git/GitHub, Jupyter Notebooks, Data Processing Scripts

Professional Experience

Freelance Data Analyst & Reporting Specialist
Twin Bird, House Of Vedas (HOV), Lite Store | 2025 – Present

Developed comprehensive analytical frameworks and custom reporting solutions for retail and e-commerce businesses, transforming raw transactional data into strategic insights.

  • Report Development: Designed and implemented 12+ distinct report types covering sales analytics, inventory management, customer behavior, and profitability analysis
  • Reporting Excellence: Created streamlined reporting pipelines reducing manual analysis time by 70%, enabling daily insights delivery with minimal effort
  • Multi-dimensional Analysis: Built pivot analysis frameworks analyzing data across time dimensions (daily, weekly, monthly, quarterly, yearly) and business dimensions (product, category, location, customer)
  • Inventory Optimization: Developed stock-to-sale ratio algorithms and dead stock identification systems saving clients 15-20% in holding costs
  • Financial Intelligence: Implemented profit & loss reporting frameworks with margin analysis, enabling product-level profitability tracking
  • Data-Driven Impact: Delivered insights leading to 30% reduction in overstock, 25% improvement in inventory turnover, and 15% increase in profit margins
  • Dashboard Engineering: Created interactive dashboards processing 50,000+ transaction records with real-time data refresh capabilities
  • Client Partnership: Worked closely with business stakeholders to understand requirements, translate needs into analytical solutions, and train teams on report usage

Specialized Reporting Capabilities

Create Custom Reports for Business Intelligence

From multi-dimensional pivot analysis to advanced forecasting models, I create comprehensive reporting suites that cover every aspect of retail and e-commerce analytics. Each report is designed to answer specific business questions and drive actionable decisions.

01

Multi-Dimensional Pivot Analysis

Comprehensive data exploration across multiple time and business dimensions with dynamic filtering capabilities.

  • Monthly, weekly, daily, quarterly, yearly views
  • Weekday vs weekend performance patterns
  • Category, brand, and product-level breakdowns
  • Store/location-wise comparison
  • Custom dimension combinations
02

Comparative Analysis Report

Flexible date-range comparison tool enabling performance benchmarking across any time periods.

  • Any date vs any date comparison
  • Period-over-period analysis (WoW, MoM, QoQ, YoY)
  • Same-day-last-year seasonality comparison
  • Growth rate and variance calculations
  • Visual comparison highlighting key differences
03

Stock-to-Sale Ratio Analysis

Advanced inventory efficiency metric tracking optimal stock levels based on historical sales patterns.

  • Real-time ratio calculations
  • Trend-based sales forecasting
  • Category and product-wise analysis
  • Overstock and understock alerts
  • Recommended reorder quantities
04

Fast-Moving Items Identification

Velocity-based analysis identifying top-performing products within selected date ranges.

  • Sales velocity calculation (units per day)
  • ABC classification analysis
  • Top N product rankings
  • Category contribution analysis
  • Seasonal variation in fast-movers
05

Dead Stock Identification Report

Comprehensive analysis of slow-moving and non-moving inventory with actionable recommendations.

  • Zero-sale products identification
  • Age-of-inventory analysis (30/60/90/180+ days)
  • Value locked in dead stock
  • Category-wise distribution
  • Markdown and clearance recommendations
06

Profit & Loss Analysis

Detailed financial performance tracking with multi-level cost attribution and margin analysis.

  • Revenue analysis with discount impact
  • COGS tracking and gross profit
  • Product-level profitability scoring
  • Category and brand-wise P&L
  • Break-even and contribution margins
07

Store Performance & Location Analysis

Comprehensive store-level analytics comparing performance across Stores

  • Store-wise sales comparison and ranking
  • Location performance benchmarking
  • Store productivity metrics (sales per sq ft)
  • Peak hours and traffic pattern analysis
  • Store inventory efficiency by location
  • Best/worst performing store identification
08

Seasonal Trend & Pattern Analysis

Time-series analysis identifying cyclical patterns, seasonality, and forecasting opportunities.

  • Month-over-month trend identification
  • Peak vs off-season performance
  • Day-of-week patterns and cycles
  • Holiday impact analysis
  • Forecasting models for planning
09

Product Category Performance

Comprehensive category-level analytics for strategic planning and merchandising decisions.

  • Revenue contribution by category
  • Unit volume and ASP trends
  • Cross-category purchase patterns
  • Category growth rates
  • Market basket analysis
10

Inventory Turnover & Efficiency

Working capital optimization through inventory velocity tracking and efficiency metrics.

  • Inventory turnover ratio calculations
  • Weeks sales of inventory (DSI)
  • Category-wise turnover comparison
  • Stock-out frequency analysis
  • Optimal inventory level recommendations

Education

BS in Data Science and Applications
Indian Institute of Technology Madras (IIT Madras)

Currently in Second Year | Expected Graduation: 2028

Relevant Coursework: Statistical Methods, Machine Learning Foundations, Database Management Systems, Programming & Data Structures, Business Data Management

Languages

English - Fluent
Tamil - Native
Kannada - Fluent
Hindi - Fluent

Professional Approach

  • Data Storytelling: Transform complex datasets into compelling narratives that drive business decisions and stakeholder understanding
  • Business Impact Focus: Every analysis answers "so what?" and "what next?" - focusing on actionable insights over raw data
  • Continuous Learning: Stay current with latest analytical techniques through formal IIT Madras education and self-study
  • Accuracy & Integrity: Maintain highest standards of data accuracy and ethical handling of business information
  • Client Partnership: Work collaboratively to understand unique business needs and deliver tailored, practical solutions

Value Proposition

More than just a data analyst – a strategic business partner who transforms raw data into competitive advantages. Combining formal education from IIT Madras with practical experience across multiple retail brands, I deliver insights that directly impact profitability, efficiency, and growth. Whether you need comprehensive reporting infrastructure or specific analytical solutions, I bring both technical expertise and business acumen to every engagement.

Contact Information

📧

Email

[email protected]
📱

Phone

+91 97398 81313
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Location

Bangalore, Karnataka
India

Let's Transform Your Data Into Insights

Available for freelance projects, consulting engagements, and part-time opportunities. Whether you need custom reporting solutions, data analytics support, or business intelligence dashboards, I'm here to help turn your data into actionable strategies.

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