Feb 2024 – Dec 2024 · 10 mos

Sep 2020 – Feb 2024 · 3 yrs 5 mos · Bengaluru, Karnataka, India

Nov 2019 – Sep 2020 · 10 mos · Bangalore

Sep 2018 – Nov 2019 · 1 yr 2 mos

• Store-inventory recommendation system |World’s Largest Brewer
• Led a team of five analyst to develop a recommendation engine for sales
• reps which increased sales and volume by 8% and 11% respectively.It
• had the following modules:
• o Selling Stories: Intuitive recommendations were generated based on statistical evidence
• o Similarity Index: Similar stores were identified using propensity score matching based on wide range of store features through which another set of selling stories were generated
• o Clustering: Identified variations in beverage consumption pattern amongst population, using a self-curated clustering algorithm which leveraged random forest and clustering techniques
• Fraud Detection| Leading Insurer in Australia
• Developed a framework to identify fraudulent claims of different nature
• across multiple portfolios
• Built Machine Learning models to prioritize the suspiciousclaims, which
• created an opportunity of potentially capturing an added annual claim
• savings of ~$4 million (AUD

Nov 2016 – Sep 2018 · 1 yr 10 mos

• Activity Code Reporting|Leading Insurer in Australia
• Developed a framework to monitor claims and activities which
• breaches different insurance code of practice
• Identified business rules pertaining to breach of different codes
• of practice and developed SQL queries-dashboard framework which
• provided insights on the breach
• First two months of deployment of the framework showed 7% decrease in
• overall breach
• Single Ownership Projects
• Motor Claims Analytics:Reporting and Analysis project involving multiple
• short term descriptiverequest from the business
• ML Automation Tool: Worked with Innovation and Development team of
• Mu Sigma to create an R Shiny tool which automated and standardized
• analytical projects. The tool reduced turnaround time and errors across
• projects
• Additional Roles
• SQL instructor at Mu Sigma University
• Mock project mentor for new batches of inductees helpingthem develop
• a problem-solving mindset