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Indian Institute of Science
Data Scientist
June 16, 2026 – Present
mbppol
October 4, 2022 – July 27, 2023
This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm" accepted at NeurIPS 2022.
View ProjectNews-Article-Recommendation-via-Contextual-Bandits
September 16, 2021 – September 19, 2021
Recommendation using LinUCB algorithm
View ProjectImage-Captioning-via-YOLOv5-EncoderDecoderwithAttention
August 30, 2021 – October 13, 2022
Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model
View ProjectPPO_Lagrangian_PyTorch
August 6, 2021 – August 29, 2022
Implementation of PPO Lagrangian in PyTorch
View ProjectAutonomous-Driving-via-RL
December 3, 2020 – August 6, 2022
Applying RL methods for autonomous driving in Carla simulator.
View ProjectCoding_Reinforcement_Learning
February 23, 2020 – August 31, 2021
Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)
View ProjectLinear-Algebra
December 4, 2019 – December 18, 2019
Linear Algebra Course Assignments at IISc, Bangalore
View ProjectData-Structures-Algorithms-and-OOPS-in-Python
July 23, 2017 – August 7, 2017
Just some practice codes
View ProjectMachine-Learning-Study-Material
April 23, 2017 – April 24, 2017
Contains Stanford University (CS 229) Machine Learning study material
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, focusing heavily on Reinforcement Learning and Machine Learning algorithms. While this demonstrates strong technical interest, there is limited evidence of diverse project types, industry applications, or team collaboration, which might impact cultural fit in a broader commercial data science role. The single listed experience as 'Data Scientist' at an academic institution aligns with the project focus but lacks details on responsibilities or impact.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there's no information on collaboration, problem-solving approaches, or communication style in a team setting.