Sanyam Jain

I’m a Data Analyst focused on making data reliable and useful for decision-making. At Accenture, I profile large datasets (1M+ records) to find anomalies, nulls, and inconsistencies across 5+ sources, improving data accuracy by 25% through targeted validation and cleanse rules.

I build and maintain BAU reporting pipelines using Python and SQL to support monthly KPI delivery, reducing manual turnaround time by 40%. I also define data quality checks—null validation, duplicate detection, and format standardization—so only clean data reaches downstream reporting layers.

I partner with business and IT teams to capture reporting logic, communicate data quality findings and risks proactively, and translate stakeholder needs into visuals. I’ve built 10+ Power BI dashboards using DAX and Power Query, tracking 20+ KPIs across client portfolios.

In my projects, I apply analytics and modeling to real business questions: customer segmentation using RFM and K-Means, and forecasting/churn analysis using ARIMA and Prophet. I aim to deliver executive-ready dashboards and actionable insights that consulting teams can put to work immediately.