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Data Analyst with less than a year in SQL, Python, and Power BI with project experience in ETL and r
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Data Analyst with hands-on experience turning large-scale datasets (2M+ records) into actionable business insights using SQL, Python, and Power BI. Skilled in ETL pipeline development, data warehousing, KPI dashboard design, and stakeholder reporting. Proven ability to independently deliver end-to-end analytics projects across HR, sales, and e-commerce domains.
Rajiv Gandhi University of Knowledge Technologies
Bachelor of Technology (B.Tech) · Computer Science
August 1, 2023 – June 30, 2027
HR Analytics - Employee Attrition & Workforce Insights
September 1, 2023 – June 1, 2026
Cleaned and feature-engineered a 2M-record employee dataset using Python (Pandas) – applied data wrangling to create attrition flag, experience level, and salary band columns; automated loading into SQL Server via SQLAlchemy (50K-row chunks). Ran 10 structured T-SQL scripts (ranking, segmentation, cumulative growth) surfacing KPIs: 29.92% attrition rate, IT leads exits (180K), Senior-level accounts for 204K attritions. Built an interactive Power BI dashboard with slicers (department, work mode, experience, salary band) – revealed on-site workers drive 60% of total attritions, enabling HR leadership to build a data-backed retention strategy.
View ProjectSQL Data Warehouse – Medallion Architecture
September 1, 2023 – June 1, 2026
Designed a 3-layer Medallion data warehouse (Bronze, Silver, Gold) in SQL Server consolidating raw ERP and CRM sources into a clean, analysis-ready data model. Built end-to-end ETL pipelines using T-SQL stored procedures and a Star Schema (fact + dimension tables) in the Gold layer - enabling efficient downstream BI reporting for business stakeholders.
View ProjectQ-Commerce Sales & Delivery Performance Analytics
September 1, 2023 – June 1, 2026
Cleaned and wrangled Q-commerce order data using Python (Pandas); engineered customer value segments (Budget, Standard, VIP) and loaded into SQL Server for structured business analysis. Designed a Power BI dashboard with KPI cards (Total Orders, Sales, Avg Delivery Time, Avg Rating, AOV) – found delivery delays directly correlate with lower ratings and higher refunds, surfacing insights for operational improvement.
View ProjectSQL Data Analytics – Sales Insights
September 1, 2023 – June 1, 2026
Performed 13-stage SQL analysis on Star Schema tables (fact_sales, dim_customers, dim_products) covering EDA, ranking, segmentation, cumulative trends, and part-to-whole reporting. Delivered customer and product reports identifying top revenue contributors, CLV segments, and monthly sales trends using advanced T-SQL for business intelligence.
View ProjectLeetCode: Solved 100+ SQL problems (joins, window functions, query optimization)
LeetCode
June 1, 2026 – Present
HackerRank: Earned SQL 5-Star Gold Badge
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects cover diverse domains (HR, e-commerce sales, general sales analytics), indicating adaptability and a broad interest in applying data analysis. The focus on delivering business intelligence and insights aligns well with a data-driven culture. However, the lack of professional experience means cultural fit in a corporate environment is yet to be fully tested.
Soft Skills & Operational Fit
The candidate demonstrates good analytical thinking and data storytelling through project descriptions. The ability to communicate insights (e.g., 'enabling HR leadership to build a data-backed retention strategy') suggests a focus on operational impact. However, direct experience in a professional operational setting is lacking due to academic background.