About
BCA graduate (2025) and Data Analyst Fresher with hands-on project experience across SQL, Python, and Power BI/Tableau, including a 345,000+ row multi-country dataset cleaned and analyzed end-to-end. Skilled in data profiling, data cleaning, exploratory analysis, KPI dashboarding, and translating raw data into business-ready recommendations. Comfortable working across the full pipeline: querying and cleaning data (SQL, Pandas), building interactive dashboards (Power BI, Tableau), and automating reporting (Excel VBA, Power Query). Seeking an entry-level Data Analyst role to support data-driven decision-making.
Skills & Expertise (41)
Work Experience
Data Analyst
Sales Performance Analysis
Present - Present
Queried a multi-year, multi-country transactional sales dataset in MySQL, ranking top 10 customers by revenue and flagging underperforming countries for review. Aggregated revenue by product line, deal size, territory, and time period (monthly/quarterly/yearly) to surface the top-performing product lines and seasonal sales patterns. Wrote 10+ SQL queries (joins, GROUP BY, HAVING) to answer business questions, validated in Excel PivotTables, and structured findings into a reporting format for stakeholder review.
Data Analyst
Retail Sales Performance Dashboard
Present - Present
Built an interactive Power BI dashboard covering ₹2.57 Cr in sales across 660 transactions and 5 mobile phone brands, with drill-downs by city, payment method, and day of week. Identified Apple as the top revenue-generating brand (₹67.7L) while Xiaomi led in unit volume (159 units), highlighting a price-vs-volume gap for inventory and pricing decisions. Analyzed unit sales by day of week, finding Monday had the highest volume and weekends the lowest — an input for staffing and promotion timing. Mapped sales across 12+ Indian cities and tracked customer satisfaction via a ratings funnel, with the majority of transactions rated 3 stars or higher.
Data Analyst
COVID-19 Global & India Analytics
Present - Present
Cleaned and structured a 345,000+ row global COVID-19 dataset (2020–2023, Our World in Data) using Python/Pandas, then loaded it into MySQL for country- and time-based aggregation. Programmatically detected 3 major pandemic waves in India using SciPy peak-detection, calculating a 15-day lag between case peaks and death peaks. Quantified vaccination impact: a 46.18 percentage-point rise in vaccination coverage between two waves corresponded to a 20.27% drop in peak daily cases. Built two interactive Power BI dashboards (Global + India) benchmarking India (45.01M cases, 533K deaths, 1.18% death rate) against global figures (285.38M cases, 5.47M deaths, 10.6% vaccination coverage).
Data Analyst
Excel VBA Reporting Automation
Present - Present
Built a macro-driven Excel workflow (VBA + reusable templates) to automate repetitive data preparation, formatting, validation, and report generation, cutting manual processing time. Added data-quality checks and exception flags to catch missing, duplicate, and inconsistent records, and enabled what-if/scenario analysis via PivotTables for faster decision-making.
Education
Bachelor of Computer Applications (BCA) - RTMNU, Nagpur
- 2025 · Afghanistan
H.S.C. - Maharashtra State Board
- 2021 · Afghanistan
S.S.C. - Maharashtra State Board
- 2019 · Afghanistan
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Skills (41)
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