Projects:--# Acquisition and Behavioral Risk Scorecard Models:- Use of supervised Classification model to predict commercial Banking customers, who will default Loan payments. Helped in reducing the delinquency rate by 30%. Model had a F1 score of 70%.# Facial Recognition Project:- Use of deep learning face detection & face recognition models to identify & recognize Preferred customers walking into Bank branches, so as to give preferential treatment. Face embedding & transfer… Show more Projects:--# Acquisition and Behavioral Risk Scorecard Models:- Use of supervised Classification model to predict commercial Banking customers, who will default Loan payments. Helped in reducing the delinquency rate by 30%. Model had a F1 score of 70%.# Facial Recognition Project:- Use of deep learning face detection & face recognition models to identify & recognize Preferred customers walking into Bank branches, so as to give preferential treatment. Face embedding & transfer learning with pre trained models were used to accomplish the task.# Anti-Money Laundering project:- Machine learning models were developed to reduce the number of false positives arising from various Business rules for Anti Money Laundering. Classification models were developed to classify AML alerts into high, medium and low priority. High AML alerts were prioritized and investigated to generate suspicious transaction report accordingly. Backlogs arising from false positive alerts were reduced to a great extent by almost 50%.# Product Recommendation & Propensity models:- Developed propensity models & product recommendation Engine using collaborative filtering and RBM, for targeting right Banking product to a customer based on his propensity to buy. Helped in generating 650 million Ringgit revenue through cross selling. Show less

• Developed a pricing & promotion optimization engine to create an optimized portfolio of promotions on different SKUs as per different Business constraints. • Developed a computer vision CNN image classification & Yolo object detection model for automatically annotating the SKUs and promotion items, for a given set of images.• Involved in doing Conjoint Analysis to assess the impact of different product attributes amongst people’s choice, used for pricing.• Developed a… Show more • Developed a pricing & promotion optimization engine to create an optimized portfolio of promotions on different SKUs as per different Business constraints. • Developed a computer vision CNN image classification & Yolo object detection model for automatically annotating the SKUs and promotion items, for a given set of images.• Involved in doing Conjoint Analysis to assess the impact of different product attributes amongst people’s choice, used for pricing.• Developed a product recommendation engine based on Collaborative filtering & context-based filtering. • Led a team which was involved in automation of existing Analytical solutions. • Involved in design of surveys. • Worked as an Active member of Interview panel for hiring candidates. Show less

• Involved in development of Chat Bot using deep learning LSTM sequence to sequence model & RASA framework.• Involved in developing a competitor research analysis tool: collection of review comments about rival firms, which is an essential tactic for finding out what our competitors are doing and what kind of threat they present to your financial well-being. This analysis provided both an offensive and defensive strategic context to identify opportunities and threats. •… Show more • Involved in development of Chat Bot using deep learning LSTM sequence to sequence model & RASA framework.• Involved in developing a competitor research analysis tool: collection of review comments about rival firms, which is an essential tactic for finding out what our competitors are doing and what kind of threat they present to your financial well-being. This analysis provided both an offensive and defensive strategic context to identify opportunities and threats. • Developed an Analytics tool using Tableau, for IT infrastructure domain, for analyzing the congestion across Wi-Fi & routers.• Involved in the text mining for Document clustering, Topic modelling, Sentimental analysis etc. for a call center industry. Show less

• Developed a classification model to predict claim or non-claim of a new insurance application and validating the model developed using concordance, ROC curve, Lift Curve and Gains Chart. • Developed a cluster analysis model to create customer segmentation related to insurance industry. • Developed a decision tree model using CHAID and CART for targeting particular customer segment, for marketing purpose, related to a newly launched insurance product. • Implemented… Show more • Developed a classification model to predict claim or non-claim of a new insurance application and validating the model developed using concordance, ROC curve, Lift Curve and Gains Chart. • Developed a cluster analysis model to create customer segmentation related to insurance industry. • Developed a decision tree model using CHAID and CART for targeting particular customer segment, for marketing purpose, related to a newly launched insurance product. • Implemented employee attrition model for the employees of insurance company, using Logistic regression. Show less