Shubhranil Sensarma

Built a chatbot as a POC for my project using chatGPT and python as languages and using the text-davinci-003 as the AI model. Performed EDA, model development and model evaluation on a sample dataset which was given to me and the entire assignment was submitted as a case study to showcase clients. Performed hypothesis testing on a marketing dataset to help client on making a concrete decision on expansion. Performed time series forecasting using Seasonal Auto Regressive Integrated Moving Average method. Performed end to end insight analysis. Used Logistic modelling and decision tree classifier to predict the loan defaulters. Used feature engineering to extract the variables which helped me to achieve the maximum accuracy. Got a accuracy score of 91% on test set. Formulated solutions for given technical specifications; deployed customizations; contributed to code reviews.

For majority of my tenure here I worked as a Data Analyst, performed statistical modelling and evaluated the same based on recommended metrics. Formulated, suggested, and managed data-driven projects, aimed at furthering the business interests. Analyzed and processed complex data sets using advanced querying, visualization and analytical tools.

Worked as a Java Developer on Agile Methodology. Developed user stories based on requirement given using skills like Java, Springboot, JPA. Wrote test cases and maintained the necessary test coverage. Got exposure to perform Exploratory data analysis of a marketing dataset of a telecom company. Performed Linear and multilinear regression to estimate the cost benefit analysis of the company and deliver useful and profitable insights.