Fortune 500 Healthcare Payer:-Developed python based NLP annotators to convert 15000+ unstructured insurance benefit plans into structured data elements-Achieved 15x reduction in time & cost of manual review required to generate actionable insights of benefit payments for compliance reviewInnovation Project:-Successfully completed one of the first R&D projects to perform sentiment analysis using novel algorithm of Word2Vec on social media movie reviews-Improved forecast… Show more Fortune 500 Healthcare Payer:-Developed python based NLP annotators to convert 15000+ unstructured insurance benefit plans into structured data elements-Achieved 15x reduction in time & cost of manual review required to generate actionable insights of benefit payments for compliance reviewInnovation Project:-Successfully completed one of the first R&D projects to perform sentiment analysis using novel algorithm of Word2Vec on social media movie reviews-Improved forecast accuracy by 5% using sentiment scores in the model predicting volume of i-VOD transactions of a leading media and entertainment companyTechnical Skills Acquired: MS Excel, R, SAS, Python, NLP (Text-Analytics), Tableau Show less

Part of 15-member editorial board responsible for ideation, structuring and content generation for web and print media resulting a 4-fold increase in online reach.Led teams of 7-10 students in conceptualizing and executing articles pertaining to campus issues.Co-authored over 10 articles on diverse issues - academic, hostel affairs and institute rules.

Formed and led a team of 24 mentors responsible for counselling 130 under-performing students. Initiated sophomore mentoring and revamped the program to include faculty meetings with mentors for greater accountability of mentors.Bridged student-faculty gap by increasing the number of faculty advisers per batch.

My research internship at TCS Innovation Labs involved implementing the novel phenomenological-statistical approach to model grinding kinetics. Deep data analysis was performed to obtain empirical correlations of model parameters with simulation data. The project is known to have wide applications in designing equipments for grinding and predicting the size distribution thus obtained.

My responsibilities included designing and developing experiments to perform a novel study on the removal of waxy collar stain (solid fat) using oil in water emulsions demonstrating the detergency property of emulsions. I was able to show a significant ( more than 10%) removal of soild fat from the substrate. A potential product for facile stain removal could be a result of the research work undertaken.