
Data Analyst | Python · SQL · Power BI | EDA · Statistical Analysis · Risk Analytics | Cardiovascular Disease Risk Project (70K rows) | BCA Final Year | Open to Fresher DA / BA / MIS Roles
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I didn't wait for a job to start building real analytics skills.
Over the past year, while finishing my BCA from Mumbai, I've independently engineered full analytics pipelines on real-world datasets — across healthcare, banking, and e-commerce — simulating what analysts actually do inside enterprise teams.
The project I'm most proud of: a Cardiovascular Disease Risk Analysis on 70,000 rows of patient data. I ran Hypothesis Testing (Z-test, T-test, Chi-Square, ANOVA), built composite risk features, and developed a 4-tier segmentation model (Low → Critical) linked to age, blood pressure, cholesterol, and lifestyle. The output? A multi-page Power BI dashboard that makes clinical risk patterns instantly visible to non-technical stakeholders.
That's the kind of work I care about — not just crunching numbers, but turning them into something decision-makers can actually use.
My toolkit: Python · SQL · Power BI · Tableau · Advanced Excel · Statistical Analysis · ETL/ELT Pipelines · MIS Reporting · RFM Segmentation · CLV Modeling
I've also completed the Deloitte Australia Data Analytics Job Simulation (Forage), which sharpened my forensic data analysis and evidence-based reporting skills.
I'm a final-year student actively looking for my first role in Data Analytics, Business Analysis, or MIS — somewhere I can contribute from Day 1 and keep growing fast.
If you're hiring for entry-level analytics talent, let's connect.
📌 github.com/prem-1306