Feb 2021 – Jul 2021 · 5 mos · New Delhi, DL, India

• Analytics

Jul 2020 – Feb 2021 · 7 mos

Jul 2019 – Jul 2020 · 1 yr

Mar 2017 – Jul 2019 · 2 yrs 4 mos · Bangalore

• Operations Analytics:
• Developed Machine Learning model for reducing the inbound calls for phone payments using pattern mining engine.
• Developed a model for effective targeting based on customers’ channel preferences
• Marketing Analytics:
• Developed a Machine learning model for optimizing marketing cost and bringing increment sales by identifying potential high ticket size customer transactions
• Developed a Multi-Label Machine learning model for optimizing the offer and provide the communication through customer preferred channel
• Digital Analytics:
• Developed a multiclass click propensity model for personalized suite of offers based on customer profile for online portal based on their digital behavior
• Developed a Machine learning model to drive instore shoppers to online and instore channels for increasing the wallet share of spend
• Text Analytics
• Developed a model for identification of sentiment of customers using N-Gram, Bag of words and Distance Measure for Sentiment Analysis in R to understand the dollar impact of change in business strategy and rate call agent effectiveness

Nov 2015 – Feb 2017 · 1 yr 3 mos · Bangalore

• Product Manager: Business Intelligence
• Key member in Big Data analytics team for designing statistical models using cluster analysis, Break point analysis using Random Forest and Probabilistic Graphical Model
• Developed a model for maximizing slot wins using sequential pattern mining
• Responsible for coming up with the new enhancements and recommendations for the product. i.e. Predictive Analytic algorithms for existing solutions, Campaign management, identifying potential customers and defining mathematical definition for calculations
• Designed a visualization tool for statistical model representation through Dashboards using Tableau integrated with R

Nov 2014 – Nov 2015 · 1 yr · Bengaluru Area, India

• Performed Statistical analysis (Clustering and time-series analysis/forecasting) on live stock market data using postgreSQL and R
• Worked on handling JSON and huge streaming data for pre-processing, cleaning and outliers treatment
• Developed a predictive model using time series analysis for stock price forecasting using Bayesian, Laplacian and probability theories
• Applied Machine Learning concepts on the algorithms for better performance
• Responsible for full ownership of algorithm and P&L as well as directly communicating with clients/on-site for requirements

Aug 2013 – Jan 2014 · 5 mos · Mumbai, Maharashtra, India

• • Designed and developed an application to provide 360° view of maps and its surrounding using image recognition