Apr 2018 – Sep 2021 · 3 yrs 5 mos · Mumbai Metropolitan Region

• Leading a team of Data analysts & Data scientists that provides advanced analytics using ML models to clients in India, SEA, UAE & Nigeria regions that span industry domains like QSR, Banking, Equity Broking, Life Insurance, General Insurance, Online Travel, Retail, Job Boards
• In charge of driving day-to-day analytics operations & exploring ways to improve quality of analytics solutions on a consistent basis
• Ensuring timely delivery of solutions and strategic consulting to support the client’s marketing initiatives
• Responsible for client acquisition strategy, sharing commercial proposals with prospects & defining scope of engagement with clients
• Responsible for P&L of business, pricing of contracts & resource allocation strategy

Apr 2017 – Mar 2018 · 11 mos · Mumbai Metropolitan Region

• Set up the Analytics practice from scratch at Netcore & responsible for business growth strategy
• Building Predictive Analytics solutions that leverage client's customers' demographic, transactional & marketing channel response data to identify opportunities for increasing upsell / cross sell & reducing customer churn
• Created the go to market strategy for Analytics solutions across India, SEA, UAE & Nigeria regions
• Built the right mix of team to cater descriptive & predictive analytics requirements

Apr 2016 – Apr 2017 · 1 yr

• Manager (April, 2016 to April, 2017)
• Playing a dual role of an Analytics team lead and a Data Scientist at Hansa Cequity
• Leading a 15 member team responsible for providing actionable analytical insights for clients spanning across industries like DTH, Insurance & Retail equity broking
• Built a Market Mix Model with 80%+ accuracy to predict the sales of DTH boxes in response to change in the ATL-BTL spends on print / TV / radio, addition of distribution outlets, product pricing & competition product pricing
• Developed a KNN model to classify all the customers of the insurance client into income segments basis transactional variables and income data of sample set of customers
• Train and supervise Analytics team and ensure that team meets the analytical needs of the clients
• Translate the client's business problem into analytical problem and give the corresponding understanding to the team

Apr 2015 – Mar 2016 · 11 mos

• Leading a 5 member team responsible for providing actionable analytical insights for a DTH client
• Applying statistical and data mining techniques to understand subscriber behavior, leverage cross sell opportunities, and generate insights on subscriber churn for one of the leading DTH service providers in India
• Developed a predictive model (log linear regression) to simulate the varying influence of advertisements, pricing & airing time slot on addon channel subscriptions (for a DTH client)
• Developed a Naive Bayesian model to classify the tweets of customers (who had savings bank accounts with the banking client) into categories of interests where cross sell opportunities were available

Apr 2014 – Mar 2015 · 11 mos

• Built a cross sell model (logistic regression) to predict the propensity of subscribers to subscribe to a specific add-on channel pack of our DTH client
• Scoring of cross sell models (logistic regression models for add-on channel subscription packs) and normalising the output of each of these models to finally predict the 2 add on channel packs most likely to be bought by the subscribers of a DTH client every month
• Creating model & campaign lift reports to measure the efficacy of predictive models

Nov 2011 – Jan 2014 · 2 yrs 2 mos · Mumbai Metropolitan Region

• Setting up data processes for identifying anomalies in repayment patterns & sharing these insights with the collection team
• Assigning risk scores to customers based on data of past repayment activity
• Applying predictive analytics to build a model to predict customers who are most likely to default on their interest payments and/or principal amounts so as to enable the collections team to speed up on the loan recoveries.

Apr 2010 – Oct 2011 · 1 yr 6 mos · Mumbai Metropolitan Region

• Built a forecasting model with 85%+ prediction accuracy to predict key growth drivers of NSE listed companies, this model was built as a research tool offering for institutional clients
• Identifying potential customer segments for launching new derivatives products at ICICI direct by profiling on attributes related to their trading / investment behavior, risk appetite & demographics

Jun 2008 – Mar 2010 · 1 yr 9 mos · Mumbai Metropolitan Region

• Simulation Analysis for assessing revenue impact on business before launching new pricing plans for equity & derivative products and presenting the findings to key decision makers at various management levels
• Model scoring (logistic regression) to predict traders / investors most likely to stop trading in near future and then creating proactive retention strategies for each customer segment