• Developed predictive models to forecast and preempt prepayments on personal loans space using R• Forecasting of revenue from credit card vertical across the globe using time series

Set up a data analytics team from the scratch and was responsible for end to end delivery and management in co-ordination with US counterparts.• Developed statistical models with multi-dimensional data for end clients in the automotive verticals• Predicting a prospective customer’s probability to purchase a vehicle and profiling of buyers/non-buyers as per the demographic information• IOT: Analyzed data from On-board diagnostics devices of automobile to predict insurance premiums• NLP (Natural Language Processing) – Used NLP for sentiment analysis where social media data from Twitter, online car forums, YouTube etc was mined to identify market trends, user sentiment and early technology adopters in the automotive domain• Investigate machine learning methods like neural networks, deep learning, decision trees and innovative ways to enhance the effectiveness for predictive models• Customer Experience Enhancement: Led the customer experience enhancement project for a high-end automotive client. Analyzed various aspects of website traffic such as Engagement, bounce-rate, unique visitors, and audience geography and target event probability prediction.• Dealer network: Track expression of interest, purchases and user activity on website to improve RoI for dealer network.• Scripting in UNIX to run multiple production jobs on UNIX server• Enable clients to design their marketing campaigns based on predictive models & thereby drive sales• Help OEMs analyze performance of dealers & make data driven decisions to retain/release dealers• Highlight key insights & offer recommendations based on technology trends and demographics • Leading the initiatives like migration of data & models from legacy to new environment e.g. Hadoop• Providing training to global teams & responsible for on-boarding of new joiners across the teams • Represent Data Analytics team in India for all CXO level meetings and presentations

• Predictive modeling using techniques such as linear regression, logistic regression, etc.• Developed customer churn model for Telecom domain)• Developed models using a variety of tools including SPSS, SAS, R to predict asset performance, power consumption in the UK electrical network. Included substantial data mining and extraction using various tools like SQL developer, Toad etc.• Analyzed web traffic and data on telecom website. Identify and classify factors leading to purchase of offers/products.• Data reporting & presentations for C-level executives

- Lead the service management desk operations- Daily, weekly & monthly reporting lead. Present performance reports for the project- Implement ITIL framework with respect to incidents, problem and change management- Data extraction & analysis using HP reporting tool

- Worked as SME for Chairman’s Office – Reliance Communications arm- Played a critical role in launch of FIP process (Reliance Broadband)