About Avi Patchava

Formerly the VP of InMobi's Data Sciences and Machine Learning teams. Launched the InMobi Machine Learning Academy - 800 InMobians participated and 150 Engineer graduates. Launched the InMobi University Research Program - research programmes with 4 global universities. Leader of the InMobi Machine Learning Platform - Sigma. Delivered 70 use cases to production in 2018 - including Deep Learning models (CNNs and RNNs). Formerly of McKinsey's Advanced Analytics practice: Delivered 31 projects at clients of McKinsey&Co in Advanced Analytics, Strategy, Operations and Organisation projects, as the Analytics Expert, Senior Engagement manager or Associate/Analyst. Project experience across 8 verticals: Automotive; Financial services; Manufacturing; IT services and Technology; Energy and Materials; Pharma and Health; Public infrastructure and development; FMCG. Experience in designing analytics models for business use cases incl. following techniques: Logistic regression; Decision trees (CART, CHAID); Boosting algorithms (Xgboost); Ensemble (Random Forest); Clustering; Neural networks; Support Vector Machines; Time series analytics (ARMA); Principal components; Regularized regression (Ridge, Lasso, ElasticNet); Nearest Neighbour algorithms; Association Rules (Apriori); Text mining. Designed and product managed 20+ web and mobile (Android, iOS) applications, interfaces and digital performance dashboards, across McKinsey&Co projects, and tech start-up experience. Co-founded and ran Entrepreneurs' Club in London with 400+ members, and have previously organised 4 Entrepreneur pitching events with Angel and Venture investors.