- MDS Capstone Project for Sensing in Biomechanical Processes Lab (SimPL), Faculty of Applied Science, UBC, titled 'Towards a simplified method for video confirmation of head impact events in contact sports- Generated a a reproducible machine learning pipeline using computer vision algorithms to detect the occurrence of head impact event using a combination of Object-detection and Activity-recognition models- Reduced 60% of the time spent in manually analyzing sports videos using YOLOv5… Show more - MDS Capstone Project for Sensing in Biomechanical Processes Lab (SimPL), Faculty of Applied Science, UBC, titled 'Towards a simplified method for video confirmation of head impact events in contact sports- Generated a a reproducible machine learning pipeline using computer vision algorithms to detect the occurrence of head impact event using a combination of Object-detection and Activity-recognition models- Reduced 60% of the time spent in manually analyzing sports videos using YOLOv5 & Resnet 3D with a recall score of 0.91. Show less

• Developed and fine-tuned FinBERT for classifying sentiment of 20,000 user reviews, integrating the result in the internal CRM tool, thereby improving the support team’s response time to negative feedback • Implemented Investor Clustering & Segmentation of over 10 million customers using K-Means and DBSCAN methods for clustering, increasing digital assets usage, and improving the UI/UX experience of the investor• Built and deployed Power BI visualization reports, integrating data from… Show more • Developed and fine-tuned FinBERT for classifying sentiment of 20,000 user reviews, integrating the result in the internal CRM tool, thereby improving the support team’s response time to negative feedback • Implemented Investor Clustering & Segmentation of over 10 million customers using K-Means and DBSCAN methods for clustering, increasing digital assets usage, and improving the UI/UX experience of the investor• Built and deployed Power BI visualization reports, integrating data from SQL Server and Google Analytics, which product managers and marketing team used for monitoring digital assets performance and sales• Developed Scheme Recommendation Model for upselling and cross-selling schemes, leading to increase in Digital sales• Piloted Customer Analytics usage to drive business decisions by collaborating and communicating with product owners Show less

• Assessed transaction frequency and distribution of 1.2 million customers in rural and sub-urban areas • Created segments of customers having a regular cash flow pattern to offer them new business products • Calculated the demographic and socio-economic distribution of the investor base using statistical tests

• Learned basic concepts of R programming, Data Analytics, Statistics, and Econometrics• Instilled these concepts to solve three business case studies published by Harvard Business School• Completed a Capstone Project on Data Analytics titled ‘A study of Hotel Room Pricing in Indian cities’, which involved exploratory data analysis and modelling prices of 13,232 hotels spread over 44 cities of India

• Developed essential mathematical concepts in Number Theory and Galois Theory• Analysed the mathematical concepts that form the basis of cryptographic security systems such as Public Key Cryptography