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Aspiring Data Analyst | SQL | Power BI | Python | Excel | EDA | Data Visualization

About

Aspiring Data Analyst with hands-on experience in SQL, Python, Excel, and Power BI, focused on analyzing data and deriving actionable insights. During my training at Innomatics Research Labs, I have worked on real-world projects including: • Global Energy Emissions Analysis using SQL (JOINs, CTEs, Window Functions) to identify trends and top pollution sources • Ride-Hailing Demand Analysis using Excel dashboards to analyze booking patterns and cancellations • Web Scraping & Analysis using Python (BeautifulSoup, Pandas) to extract and analyze company insights Skilled in data cleaning, exploratory data analysis, and data visualization to transform raw data into meaningful business insights. Technical Skills: • SQL • Python (Pandas, NumPy, Matplotlib) • Excel • Power BI I am actively seeking entry-level opportunities or internships as a Data Analyst / Business Analyst where I can apply my skills and grow in a data-driven environment.

Location

Greater Hyderabad Area

Work experience

Data Analyst — Global Superstore Sales Analysis at Innomatics Research Labs, May 2026 - May 2026 · 1 mo, Performed end-to-end analysis on Global Superstore dataset using EDA, SQL, and Power BI. Conducted exploratory data analysis to uncover sales trends, regional performance, and profitability insights. Used SQL for data extraction and built an interactive Power BI dashboard visualizing revenue, profit margins, category-wise performance, and key business metrics.

Data Analyst — Ride Hailing Operations Analysis at Innomatics Research Labs, Apr 2026 - Apr 2026 · 1 mo, Built an Excel operations dashboard analyzing 40,509 ride demands across Nov–Dec 2016. Identified peak demand window between 18–22:00 with only 25% supply coverage. Used Pivot Tables, slicers, and interactive charts to analyze hourly patterns, driver utilization, and fulfillment rates. Recommended surge pricing and driver incentive strategies to reduce supply gap.

Data Analyst — Customer Churn Analysis at Innomatics Research Labs, Mar 2026 - Mar 2026 · 1 mo, Analyzed 7,032 customer records to identify key churn drivers. Found overall churn rate of 27% with Fiber optic users showing highest churn at 42%. Built an interactive Power BI dashboard with KPI cards, Key Influencer visuals, and risk scoring to identify at-risk customer segments and support retention strategies.

Education

Bachelor of Technology - BTech, Information Technology, Mallaredddy Institute of Technology and science

Malla Reddy Institute of Technology & Science