1. Worked in redevelopement of Banks & ISF PD model for Regulatory approval. Worked in Model Scope, Economic Cycle, Representativity and Low Default Portfolio PD analysis. 2. Worked closely with Internal Model Review amd Internal Audit teams for closure of High risk findings within PD model. 3. knowledge in Basel III , IFRS9 , CCAR and ECL

▪ Worked in Customer Analytics and Talent-HR domain within Accenture consulting. Currently working with two Fortune 500 companies to solve their business problems by analyzing their structured and unstructured data. ▪ Worked in Natural Language Processing (NLP) domain to identify the sentiments of customers by analyzing their feedbacks (sentiment analysis) which helped us to identify critical areas of improvement in business (Topic Modelling). By applying Ensemble technique in NLP… Show more ▪ Worked in Customer Analytics and Talent-HR domain within Accenture consulting. Currently working with two Fortune 500 companies to solve their business problems by analyzing their structured and unstructured data. ▪ Worked in Natural Language Processing (NLP) domain to identify the sentiments of customers by analyzing their feedbacks (sentiment analysis) which helped us to identify critical areas of improvement in business (Topic Modelling). By applying Ensemble technique in NLP (Sentiment analyzer + RNN-LSTM), thousands of comments have been bucketized with proper sentiments with 85% accuracy. ▪ By incorporating several factors, developed a CSAT driver analysis model, which helped us to identify the key areas which should be the focus areas to increase customer satisfaction.▪ Experience in Data Pipeline creation which ensures smooth data transition from Client Server to Dashboard Visualization. ▪ Worked with a Telecom Sector client to develop a Customer Churn Prediction Model. This helped client to identify the customers who might churn out in future. Show less

▪ Successfully analyzed large datasets with different visualization techniques and applied machine learning algorithms to make the data meaningful. ▪ Successfully solved issues of leakage of coolant in locos and their effects of temperature on motor and helped to build a temperature pattern recognition to reduce frequency of such failure. ▪ Analyzed Battery Discharge rate of E-locos by strong visualization techniques to find the anomaly in the battery which prompted a quick shift in… Show more ▪ Successfully analyzed large datasets with different visualization techniques and applied machine learning algorithms to make the data meaningful. ▪ Successfully solved issues of leakage of coolant in locos and their effects of temperature on motor and helped to build a temperature pattern recognition to reduce frequency of such failure. ▪ Analyzed Battery Discharge rate of E-locos by strong visualization techniques to find the anomaly in the battery which prompted a quick shift in maintenance strategy in Depot level. ▪ Assisted in finding out the deceased compressor of locomotives using seaborn and presented a predictive model to find out Compressor Run time model for healthy locos using scikit-learn in Python. Show less

Worked in three different projects related to Data science. By various steps including data mining, data preprocessing, and feature engineering I developed predictive models based on statistical learning. Worked in various classification and regression based models. During my internship, I got the "Best Presentation" award and "Above and Beyond Recognition Award" in LAM Research India, Bengaluru, India

Worked under Prof. Somprakash Bandyopadhay on a project called "Social Inclusion through Digital Inclusion". Studied the rural dynamics of people of West Bengal. For 3 months, I worked under the Social Informatics Research Group of IIM Calcutta. In these period, I managed big teams, worked in rural environment, negotiated with different industries (Telecommunication sector) for supporting this mission, studied market potential for digitalised education system for children of rural areas.