IT professional with extensive expertise in end-to-end development and deployment of machine learning algorithms to solve challenging problems across Healthcare, Banking and Fast Food industries.
IT & ITES
B.E. (Industrial Engineering and Management), Rashtreeya Vidyalaya College of Engineering, Autonomous Institution affiliated to Visvesvaraya Tehnological University, Bangalore.
Spot award for working towards creating muRx POC using the Phoenix framework and adapting to evolved changes among 120 members by the Products Team in Mu Sigma (2017).
Spot award by the Products team for great effort in refactoring muRx codes, creating test cases and representing it in Jupyter notebooks among 120 members in Mu Sigma (2016).
Received Decision Scientist Global Certification from Mu Sigma University (MSU), Mu Sigma which qualifies proficiency in Business, Math and Technology.
Work Experience | 61 months
Collaborated with multiple internal and external stakeholders on the business side for procuring requirements and technical specifications.
Conceptualized and developed end to end analytical workbench to reduce coding efforts and increase productivity.
Developed application to improve accuracy and speed of calculating overpayments and underpayments for quicker response of insurance companies.
Performed code optimization and pivotal in upgrading codes to standards of Enterprise Quality Research for statistical workbench.
Performed demand forecasting for one of the largest food outlets in India to reduce wastages and stock out risks.
Built predictive modeling capabilities for one of the largest multinational banking clients to classify accounts which are likely to get default from the portfolio and trigger an alert to act on such accounts.
Developed engine for predicting International Classification of Diseases (ICD-10) Codes from electronic health records for a Global Healthcare Company with the objective of reducing manual efforts.
Learning and Development
Initiated and mentored juniors, trainee decision scientists in learning R to implement in projects.