Summary
Amol Dixit is a Senior Data Scientist based in London with five years of experience applying machine learning and advanced analytics to detect and prevent financial and document fraud at scale. He has moved from consultancy and analytics roles into senior positions at Admiral and Hastings Direct, building classifiers to flag organised crime, forgery, and geographic risk patterns using time-space data sources including live camera feeds. Comfortable in R and Python and experienced across the full model lifecycle, he pairs statistical rigour with pragmatic deployment experience from his early software development and eHealth work at TCS. His background in mechanical engineering and business analytics gives him a systems-thinking approach that surfaces operational efficiencies as well as predictive signals. Known for translating complex models into actionable insights for non-technical stakeholders, he also has hands-on experience designing recommender systems and bespoke analytics toolkits. Notably, he blends fraud-focused modelling with geospatial risk tagging—a less common crossover that aids both investigations and pricing.
5 years of coding experience
7 years of employment as a software developer
City Montessori School
Diploma in Business Analysis Retail Management, Diploma in Business Analysis Retail Management at International Institute of Business Analysis
Certificate in SAP-MM (ECC 6.0) Enterprise Resource Planning, Certificate in SAP-MM (ECC 6.0) Enterprise Resource Planning at High Technology Solutions, Noida
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at University of Surrey
Bachelor of Technology (B.Tech.) Mechanical Engineering, Bachelor of Technology (B.Tech.) Mechanical Engineering at Dr. A.P.J. Abdul Kalam Technical University
Certified Pharmacy Assistant Pharmacy, Certified Pharmacy Assistant Pharmacy at [Corporate Internal]
English, Hindi, Spanish