Rahul Shevgan
Turning messy datasets into clear, reliable insights
New to Contra
Rahul is ready for their next project!
Data Cleaning: Turning Chaos into Clarity
The Problem: Messy, inconsistent data was making accurate analysis impossible.
The Fix: Removed duplicates and handled missing values.
Standardized formats for seamless reporting.
Validated data integrity for 100% accuracy.
The Result: A...
I transformed a fragmented healthcare dataset into a standardized, 100% accurate database. By manually resolving naming inconsistencies across 20 Indian states and verifying facility counts, I eliminated the 'noise' that leads to poor business decisions.
I processed and cleaned a comprehensive sales dataset covering 30 Indian cities, focusing on the shifting consumption patterns between Metros and emerging Tier-II/III markets for 2026. By reconciling data from retail leasing reports and e-commerce growth indices, I unified...
I developed a unified dataset for global apple production, reconciling data from the FAO and various national agricultural ministries for the 2025/26 season. The core of this project was unit conversion normalizing reporting from bushels and bins into standard Metric Tonnes. I...
I developed a unified dataset for global apple production, reconciling data from the FAO and various national agricultural ministries for the 2025/26 season. The core of this project was unit conversion normalizing reporting from bushels and bins into standard Metric Tonnes. I...
