Cheshta Pathak

I’m a results-driven Data Analyst with 2+ years of experience at Capgemini, specializing in SQL reporting, Python-based automation, data analysis, and cross-functional stakeholder collaboration. I collect, organize, and analyze large volumes of data to surface trends and patterns that become actionable decisions.

At Capgemini, I build and maintain Power BI dashboards and automate recurring manual reporting with Python scripts—reducing reporting effort by 6+ hours per week while delivering structured analytical outputs aligned with business goals. I also keep data accuracy strong through proactive risk identification, documentation, and solutions that resolve issues quickly.

Earlier, I interned at KPMG (Remote), where I created automated Python pipelines to normalize 100,000+ customer records across 3 data sources and improved segment classification accuracy from 91% to 96% by resolving 2,850 data inconsistencies. Through hands-on projects and certifications in Microsoft Fabric (DP-700) and Databricks, I focus on production-grade data engineering practices—ELT pipeline design, ELT implementation, and data quality enforcement.