π I'm currently working on β Writing production SQL (CTEs, window functions, stored procedures) on Snowflake, building Python automation pipelines, and designing multi-page Power BI dashboards with DAX measures for real-time business KPI tracking on AWS infrastructure
π― I'm looking to collaborate on β Analytics projects that go beyond dashboards β funnel diagnostics, churn modelling, customer segmentation, and anything that turns messy data into a business decision
π€ I'm looking for help with β Pushing SQL and Python-based Analysis into Power BI and AWS environments so insights go from notebook to stakeholder dashboard without losing accuracy or context
π± I'm currently learning β M.Sc. Data Science & AI at BITS Pilani (GPA 8.5) Β· Deepening expertise in statistical modelling, causal inference, and GenAI-assisted analytical workflows
π¬ Ask me about β Finding where your funnel breaks Β· Why your retention is low Β· How to build a Power BI dashboard stakeholders actually use Β· SQL window functions Β· RFM segmentation Β· Making 20M+ row datasets run in seconds
β‘ Fun fact β I don't just build dashboards. I once traced a $36K revenue leak to a single funnel stage β the fix wasn't a platform rebuild, it was a 3-email re-engagement sequence. That's what data-driven actually means.
π―
Focusing
Data Analyst (3+ yrs) | Python | SQL | Power BI | Excel
Turning complex datasets into clear, actionable insights.
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VSM Infotech
- Bangalore
- https://somya1103.github.io/somya-portfolio/
- in/somya-chaudhary-64a553217
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