نبذة عني
Data Scientist at Insurance Information Bureau of India (IIB), Hyderabad, with experience in claim propensity modeling, policy premium prediction, and Tableau reporting. Skilled in Python, SQL, Tableau, machine learning,…
Data Scientist at Insurance Information Bureau of India (IIB), Hyderabad, with experience in claim propensity modeling, policy premium prediction, and Tableau reporting. Skilled in Python, SQL, Tableau, machine learning, natural language processing, deep learning, statistics, and data visualization.
الخبرة
Data Scientist
Implementation of claim propensity model predicting whether a person will claim in future with 80% accuracy.
Display of key performance by State, PINCODE, District, Distribution Channel code, Age, and Gender-wise claim versus policy sold ratio.
Preparation of reports using Tableau on daily, weekly, and monthly basis to IRDAI and insurers as per requirement.
Dataset preparation, cleaning, and handling NULL values present in data.
Implementation of policy premium prediction model using Python and machine learning algorithms.
Preparation of report on regions requiring more network providers of hospitals for cashless mode of payment.
Preparation of report on distribution of diseases from 2017 to 2021.
Data Scientist
Implementation of Policy Premium Prediction model which predicts Insurance Premium charged by
Insurers which depends on parameters like Insurer/Gender/Age/ Distribution Channel code/ Pre- existing
Report on Regions requiring more network providers of Hospitals for Cashless mode of payment
which highlights regions where Reimbursement % is less and Hospitals need to be empanel by Insurers to
expand their business.
Report on Distribution of diseases from 2017-21. This report shows highlights regions where particular
disease is more prevalent. It helps insurers to charge the premium as per diagnostic charges claimed by
patients.