Working on Revenue Planning and strategy to achieve business growth (Reporting into CRO/CSO) • Heading and mentoring three verticals which comprise data governance and Digital Analytics, Business strategy & Planning, and ML/AI • Owning entire marketing-campaign data Platform which is powered by Advanced analytics and ML techniques • Building new strategies for emerging businesses till it goes live • Analytics side of the organization - wide NPS to understand who are our promoters & detractors and what are they talking about us to improve the customer journey and eventually attract business growth • Ensuring Customer service/business verticals is equipped with the right data to help them function well • Liaisoning with vendors as and when required

-Worked with a US based retail organization to optimize their Promotion campaign using machine learning algorithms -Derive factors that affect sale promotions like cannibalization, halo, affinity, pull forward and effect of advertisement using different analytical techniques and method -predictive modelling to estimate sales in coming month and decide which promotion will work well and which will decrease the margin based on past data. -Helped the front end team in understanding the data schema to optimize data fetching in future. -Created APIs to act as a bridge between R server and web portal with minimum latency -Point of contact to communicate between data science and back end teams for smooth process. -Successfully build and deployed patient churn and reduced engagement model for US health care client -Worked as key analytic resource for IA-Test and Control product.

- Core member of the data sciences team and contribute to the products, consulting & R & D Initiatives. - Interacting with clients/ prospects to understand their business requirements - Translate business requirements into analytics solutions - Build predictive models using machine learning techniques - Present Key findings and insights to stakeholders On the product side, - Owning up the end to end machine learning platform(mAdvisor) - Create algorithms to be incorporated into the product - Work on the product road-map - Research on emerging areas that might enhance product reach

- Chillr is a mobile App that lets you send money directly from your bank account to anyone in your phone book without having to know even their account number. We work closely with leading banks to make payments super simple, secure & instant - Working with Data analytics team of the company to generate and analyze app data. - On the job training to tools like SPLUNK, Google Analytics, RJ Metrics, Crashlatics, R studio, etc. - Analysing user behavior via cohort analysis, Red-Blue analysis, Invite-earn analysis, time-frame analysis. - Have done Predictive analysis (Supervised as well as an unsupervised model)- Regression, Time-series analysis, clustering and etc. - Red-Blue analysis, Invite-earn analysis, and time-frame analysis were developed by me to improve customer retention. - Analyse trends to develop customer acquisition strategy and planning. - Have conducted successful campaigns with the help of my entire team and achieved desired repeat rates and win-backs. - Help the team achieve various milestones as transaction count increased by 150%, repeat users increased to 32%. - We achieved various milestones in a small span of time. In December 2015 Chillr earned the tag of Best iPhone app for the year 2015 and completed transactions worth INR 100 crores. - Proficient in MS-excel, R and various analytical tools. - Setting up DB in PostgreSQL.