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Data Analyst with 2+ years in SQL, Python & Power BI
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in SQL, Python, and Power BI, skilled in data cleaning, exploratory data analysis, and dashboard development. Experienced in analyzing structured datasets to identify trends and support business decision-making. Seeking entry-level Data Analyst opportunities.
Innomatics Research Labs
Training · Data Analyst
August 1, 2024 – June 30, 2025
MVGR College of Engineering
B.Tech · Mechanical Engineering
August 1, 2020 – June 30, 2023
E-commerce Product(TV) Analysis using Web Scraping (Python)
June 1, 2026 – June 1, 2026
Extracted product data (name, price, ratings, discounts) from Flipkart using Python (web scrapping). Processed top 5 highest-rated TV brands, with Thomson leading (~30,000+ ratings). Acknowledged Philips as the highest-priced brand (above ₹50,000 average) by brand-wise pricing strategy and a strong positive correlation (0.97) between ratings and reviews. Visualized insights using graphs and charts to support business decisions.
Global Retail Sales Insights Dashboard
June 1, 2026 – June 1, 2026
Interpreted Global retail Sales dataset and discovered 303K profit with 12.42% margin and The negative impact of discounts on profitability (up to -2.3 margin). Discovered Central (541K) & South (306K) regions as top contributors. Tracked yearly growth, with sales increasing from 444K to 770K and profit rising to ~85K, indicating consistent business growth. Delivered business insights using data visualization and storytelling techniques.
Library Database Analysis
June 1, 2026 – June 1, 2026
Created a relational database schema for a library management system using SQL. Wrote complex SQL queries using Joins, Group By, subqueries, and aggregations to analyze the records across 7 Tables. Identified inactive borrowers (0 loans) and high-engagement users (>5 books issued) to improve user engagement strategies. Spotted insights on branch performance, book availability, and author-wise distribution, improving decision-making.
Adidas Sales Dashboard Case Study
June 1, 2026 – June 1, 2026
Examined records from Adidas dataset to Evaluate Overall Performance Metrics. Analyzed 899.90M in total sales to identify revenue drivers and profit trends. Scrutinized West Gear as the top-performing retailer (0.24B), contributing 25% of total sales. Footwear categories drive 60%+ revenue, making them core business segments. Sales grew significantly from 0.18B (2020) to 0.72B (2021) showing ~4X growth. Improved decision-making through data storytelling and visualization techniques.
Python & EDA, SQL, Power BI
Innomatics Research Labs
June 1, 2026 – Present
AI/ML for Geodata Analysis
ISRO
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in data analysis across various domains (retail, e-commerce, library systems), indicating adaptability and a broad curiosity. The pursuit of certifications in Python, SQL, and Power BI, along with AI/ML for Geodata Analysis, suggests a proactive learning attitude. However, the projects are all personal, and there is no professional experience directly as a Data Analyst, which might impact immediate cultural integration into a corporate data team without prior exposure to team dynamics and corporate workflows.
Soft Skills & Operational Fit
The candidate demonstrates an ability to translate data into actionable business insights, which is crucial for a Data Analyst role. Project descriptions indicate a focus on problem-solving and improving decision-making through data. The AWS trainee experience suggests an understanding of operational aspects related to data infrastructure, though the primary focus is on technical data analysis skills.