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MBA @ IIM Bangalore || CSE @ IIT Patna || AI & Data Analytics ||
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IIM Bangalore
Data Analytics
June 15, 2026 – Present
CSE-IIT-Patna
March 11, 2022 – July 22, 2023
One stop repository for all the course content involved in Computer Science Degree @ IIT Patna
View ProjectMulti-Modal-Recommendation-System
October 29, 2021 – March 8, 2023
Official code for the paper "Towards developing a Multi Modal Video Recommendation system"
View ProjectMagBERT
May 30, 2021 – October 9, 2021
Code for the Paper "Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction"
View ProjectCustomer-Attrition-Prediction
May 8, 2021 – June 3, 2021
Based on data such as general bio-data, payment history, and subscriptions, this stacking-ensemble model predicts whether a customer continues to use the service or not (attrition) with an accuracy of 83.14%
View ProjectCredit-Default-Prediction
April 24, 2021 – April 24, 2021
Problem Statement: An organization wants to predict who possible defaulters are for the consumer loans product. They have data about historic customer behavior based on what they have observed. Hence when they acquire new customers they want to predict who is more risky and who is not.
View ProjectFundus-Quality-Detection
June 19, 2020 – June 27, 2020
ML Assignment from Radical AI. Involves classifying Fundus mages to good or bad quality.
View ProjectHandwriting-Recognition-CRNN-Pytorch
June 2, 2020 – June 23, 2020
Encoder Decoder module for conversion of hand written text to digital text
View ProjectDog_image_classifier
December 15, 2018 – December 17, 2018
Project based on convolutional neural networks(CNN)
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on academic and personal machine learning and data science challenges, indicating a strong interest in technical problem-solving. The target role is 'Data Analytics', which aligns with the project themes. However, the lack of diverse project types or team-based experiences makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.