Built risk models for new to credit and non-salaried customers of State Bank of India. Used SMS data, device information, installed apps data to predict income, spending and saving habits, fraud risk of customers. Using this loan underwriting and risk-based ROI models where developed. This is currently deployed in NBFC’s like Aeon Credit Service, Indiabulls Consumer Finance Limited and TVS Credit.Developed policies to underwrite subprime customers with high variance in income… Show more Built risk models for new to credit and non-salaried customers of State Bank of India. Used SMS data, device information, installed apps data to predict income, spending and saving habits, fraud risk of customers. Using this loan underwriting and risk-based ROI models where developed. This is currently deployed in NBFC’s like Aeon Credit Service, Indiabulls Consumer Finance Limited and TVS Credit.Developed policies to underwrite subprime customers with high variance in income for inhouse lending business. Show less

Created an integrated whatsapp system to process around 450,000 accounts , analyze the trends,monitor the reaction of users to particular posts, and time series analysis of changes in user perspective.This resulted in an 75% increase the amount of data generated and provided real time analysis of theground situation in Andhra Pradesh Legislative Assembly election, 2019. Analysed opinion of close to 6,000,000 participants of the survey National Agenda Forum in Tableau. This… Show more Created an integrated whatsapp system to process around 450,000 accounts , analyze the trends,monitor the reaction of users to particular posts, and time series analysis of changes in user perspective.This resulted in an 75% increase the amount of data generated and provided real time analysis of theground situation in Andhra Pradesh Legislative Assembly election, 2019. Analysed opinion of close to 6,000,000 participants of the survey National Agenda Forum in Tableau. This analysis was aired in almost all major news channels of India. Developed tools using graph api and web scraping using selenium to analyze popularity of leaders in Facebook for Indian general election, 2019. Show less

Build tool to predict the expected price variations in cryptocurrencies by analysing the social media and financial news articles.Created a Long Short Term Memory (LSTM) neural network system to find the effects of government policies on cryptocurrency exchanges.

Took classes for community members in topics like analytics and machine learning.Organised google developer devfest , which was successful in introducing latest trends in technology to college students and connecting them to mentors.

At Insi8 developed system deep insight to companies regarding perception of the their product on social media helped them to react to fast changing social media trends.Insi8 was incubated by ​ sv.co​ in partnership with Kerala Startup Mission.Insi8 was one of the four startups selected to represent Kerala Startup Mission in the first Indian Mobile Congress.