Subhankar Das
Subhankar Das Aspiring Data Analyst · Kolkata, IN
Open to Data Analyst roles
📍 Kolkata, India · IST

Subhankar Das

Data Analyst turning raw data into business decisions.

Self-taught data analyst from Kolkata, India — building real end-to-end projects across e-commerce, SaaS, and finance domains. I work with SQL, PostgreSQL, Power BI, Excel, and DAX to solve actual business problems, not just practice exercises. Currently focused on becoming job-ready in 2026.

SQL · PostgreSQL · Window functions Excel · Pivot tables · Power BI dashboards
M Reach Me in LinkedIn G GitHub
● Practicing SQL & Power BI & Python daily.

Featured Projects

End-to-end analytics work from real business-style datasets.

Independent projects
Projects
E‑Commerce Profitability Analysis
SQL · Power BI · Excel · Mar 2026

Built an end-to-end e-commerce analytics solution using PostgreSQL and Power BI. Analyzed 10,000+ transactions across product categories, regions, and time periods to identify revenue and profit marginpatterns. Discovered a 15% margin improvement opportunity hidden in high-return product categories. Dashboard includes KPI cards, drill-down slicers, and category-level profitability breakdown.

SQL Power BI Excel KPI Design
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🛒 Sales Performance
SaaS Revenue & Churn Analysis
SQL · Power BI · Excel · Jan 2026

Analyzed subscription billing data for 5,000+ SaaS customers to track MRR, ARR, churn rate, and retention by plan and industry using Power BI and DAX. Identified 23% revenue leakage in at-risk customer segments and uncovered that Basic plan customers churn 3x faster than Pro/Enterprise. Dashboard built with time intelligence measures for month-over-month churn trend tracking

SQL Power BI Cohort Analysis Churn Metrics
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💻 SQL Portfolio
Loan Default Risk Analysis
SQL · Power BI · Excel · Apr 2026

Analyzed 8,000+ loan applications using PostgreSQL and Power BI to identify high-risk borrower segments by credit score band, DTI ratio, employment type, and income level. Built a 3-dashboard risk suite covering default risk overview, borrower profiles, and loan characteristics. Key finding: borrowers with DTI above 43% default at 4.5x the rate of low-DTI applicants.

PostgreSQL Risk Scoring Power BI Statistical Analysis
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