Summary
Ashim Sharma is a Senior Data Analyst with four years of hands-on experience building scalable data pipelines and delivering high-accuracy analytics solutions across finance, retail, and supply-chain domains. At EXL he architects PySpark-driven ETL and performance-tuned SQL workflows, while prior roles include producing 95% accurate sales forecasts, 98% fraud detection, and supply-chain optimizations that cut lead times and costs. Comfortable moving models from experimentation to production, he combines Python-based machine learning, statistical analysis, and visualization to turn complex datasets into actionable decisions. Currently pursuing an MS in Computer Engineering at Ruhr University Bochum, he pairs an automotive engineering background with big-data expertise—an unusual blend that informs his practical approach to system design and optimization.
4 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Ruhr University Bochum
Bachelor of Engineering - BE Automotive Engineering Technology/Technician, Bachelor of Engineering - BE Automotive Engineering Technology/Technician at Sathyabama Institute of Science & Technology, Chennai
English, German