Summary
Ashish Dhiman is a Senior Data Scientist with nine years of experience applying machine learning and optimization to financial services, currently building systematic FX strategies at The Voleon Group. He blends strong engineering skills in Python, PySpark, Hive and AWS EMR with practical model deployment experience—aligning backtests to production and running performance deep-dives. A Georgia Tech MS candidate and former American Express data scientist, he has driven measurable impact including $2.5M annual credit-default savings via graph analytics and production ML pipelines that streamlined risk workflows. His background from IIT Kharagpur in aerospace engineering with a micro-specialization in optimization gives him a quantitative edge, and he pairs that with recent NLP work fine-tuning BERT/T5 for e-trading risk at Citi. Known for turning messy, high-volume data into actionable decisions, he also has a track record of teaching and publishing, including an IJCAI paper on probabilistic grammar extensions.
9 years of coding experience
5 years of employment as a software developer
High School, High School at Carmel Convent School Nahan
Master's degree, Analytics and Data Science, Master's degree, Analytics and Data Science at Georgia Institute of Technology
Bachelor’s Degree, Aerospace Engineering with Micro Specialisation in Optimisation, Bachelor’s Degree, Aerospace Engineering with Micro Specialisation in Optimisation at Indian Institute of Technology, Kharagpur
English, Hindi