Akhil is the Head of Data Science, North America, with over nine years of experience using mathematical, statistical, and computational tools to solve decision-making problems in Consumer Packaged Goods (CPG), retail, insurance, and other industries.
Akhil has played a significant role in shaping and evangelizing Fractal’s thinking in data science with clients. He has also incubated and led Fractal’s retail & customer experimentation product business in various industries. Further, he developed real-time bidding algorithms using Bayesian Optimization and other Machine Learning (ML) methods for a Fortune 50 CPG company.
Akhil has also developed subrogation models from unstructured data using text mining algorithms and HPC tools.
He has a keen interest in designing experiments in business applications, ML at big data scale, optimization methods, unsupervised learning methods, entity resolution. He has an MS in Economics from IGIDR, Mumbai, and a BS in Mathematics, Hansraj College, Delhi University.
Capabilities
AI and Data Engineering>
Scaling analytics and AI with enterprise IT
MLOps>
Delivering continuous machine learning models & automation pipelines
Finance Analytics>
Transforming enterprises through finance intelligence
Dimension>
Solving Complex, Unstructured Problems
FinalMile>
Behavior Architects
Customer Experience>
Activating digital moments
Supply Chain>
Resilient, Agile, Purpose-driven
FAA>
Fractal Analytics Academy
Solutions
AIDE>
Automated Insights for Digital Evolution
Foresient>
Forecasting at scale
Consumer Hub>
Consumer insights platform
Concordia>
Accelerated data to decision transformation
Revenue Growth Management>
Scalable, Usable, Adaptable
AI @ Scale>
Powering AI with Big Data
Image & Video Analytics>
Innovators for computer vision
Text Analytics>
Machine learning and Natural Language Processing