Dubai, United Arab Emirates
Currently working as an Head of Advisory Services with Network International leading their consulting division for issuers and merchants • Leading team of data scientist and consultants responsible for all analytics projects delivery to financial institutes and Government clients generating USD 13Mn revenue • Prior experience of Manager with Analytics Centre of Excellence for Landmark Group, Middle-east retail giant (managing team of 5 resources based out of UAE/ India office) • Domain – Payments (cards profitability, consumer scorecards, attrition models, authorization improvement); Retail (Loyalty analytics, Pricing, Inventory and Store space optimization through advance analytics model) • Knowledge Spectrum – Advance Machine Learning, Forecasting, Optimization, Neural Networks, Model building techniques, Segmentation algorithms • Leadership – Strong leadership skills with experience in setting up on/ off-shore analytics operations and engagement with C-level management • Technical – Masters in ML/ AI and Computer Science graduate with hands-on experience in #Python, R, SAS (Certified), SQL, C++, HTML, Java and Microsoft #Azure
Heading the advisory function of Network responsible to deliver data services and consulting to Network's more than 200 issuing clients across Middle East and Africa. Successfully delivered authorization improvement and application scorecard for issuing clients Worked on revenue assurance consulting for a leading UAE Bank
Building data led solutions and products for Network's Merchant clients leading to successful commercial data engagements with UAE Govt. department Worked on attrition prediction models, lead generation projects utilizing Google APIs/ NLP algorithms to increase the market share of acquiring business
Setting up a top quality in house analytics center to develop customer, supply-chain, pricing data products for various Landmark brands. Interacted with Board Members/ CEOs and were able to expand the function to become the center of excellence and this led to a strong 100 member onshore/ offshore analytics team within 4years Headed the analytics for the Home Furnishing and Fashion division of the Group; Lead a team of 5 members based out of off-shore office Driving organizational change from "Analytics as a service" to "Analytics as a product". Developed multiple data products in multiple retail domains like customer, marketing, demand forecasting, pricing, supply chain, logistics and general merchandising
Implemented Customer Value (Loyalty) Management pilot across multiple brands; delivered on proof of concepts on pricing analytics; Influenced senior management to adopt data driven decision approach Developed and implemented in-season Markdown Optimization for Apparel brands and ordering management system for Home Furnishing Brands
Forth team member of captive analytics setup in shared service centre to cater to different Metro Countries Mission Segmentation – to identify the objective of customer’s visit to the store. K-Means technique used Credit Risk Model – to identify customers to whom credit line can be extended with minimum risk to default. Penalised Regression model(Lasso) with binning techniques in R used
Member of CRM Analytics team Dell - Worked onsite with Dell Marketing and Sales Analytics team. Product Propensity Models - to help and identify target audience for their B2B clients. Logistic Regression and Random Forest techniques used Recommendation Engine – Developed SKU level recommendation engine for different campaigns. Market Basket Analysis used Booz&Co. - Evaluated the pricing strategy for B2B business of powdered paints variant for a leading paints and coating company. Exploratory analysis followed by T-test to find differentiation in pricing
Performed Customer churn analysis for the US telecom giant and thus helped in creating specific campaigns to have higher customer retention. Logistic Regression and Adaptive Boosting technique used