Working in the field of insurance and retail analytics from past 4.3 years and 2 years of additional research experience. Expertise in healthcare insurance, life and motor insurance of US and Asia region after working in two big companies related to insurance. I have worked on projects in US, France and Hong Kong.
Worked in 3 big consulting companies and I have built solutions implemented in real time scenarios and earned $2-3 million. Solution predicted the market distribution is US healthcare industry among competitors in a particular area.
Built a solution which uses social media data, demographic, image verification and website plagiarism to counter fraud in insurance industry. Solution received an award in top 50 Innovative solutions in NASSCOM.
Text mining solution using combination of LDA, Gibbs, english grammar logic, text blog noun classification algorithm and sentiment analysis which tells a user answer "Why" (its happening), "What" (what is the cause) and "When" (when it happened). Algorithm has been tested on US, Europe demographics and its converting the unstructured data to structure data and provide the answers smoothly.
There are many other solutions- Risk Indicators, Lapse, Acquisition, CLTV, Market Basket, Apriori, Graph & Heuristic Search Algorithms, Counter Fraud Solutions, Admission Readmission, Time series forecasting, Customer targeting, social media network analysis,medicare growth model, game theory, time zero ltv models, retention model, online behavior recognition, face/lips recognition, emotion recognition, and many more solutions built in short tenure.
I have published 3 white papers in top international journals. Developed 2 products in the field of image processing related to emotion recognition and image verification. Product are in testing phase and soon will be launched.
Expertise in building rules, predictive modelling, machine learning, data analysis, BI tools and solving any complex problems within 24 hours.