ML Software Engineer @ Cargill | IIT Madras (2020) | Computer Vision | NLP | Deep Learning
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Cargill
Data Scientist
June 20, 2026 – Present
Stock-Market-Predictions
July 25, 2019 – August 3, 2019
Stock-Market-Predictions — GitHub repository
View ProjectModular-RL-for-Policy-Stitching
July 19, 2019 – July 19, 2019
We use the Hindsight Experience Replay (HER) algorithm for learning various robotic manipulation tasks such as reaching and picking in this sparse reward setting. We have made use of the Jaco arm environment, a comprehensive, multi-joint framework. Our main contribution has been to convert this environment into a goal-based one in order that it will be compatible with HER.
View ProjectRadio-frequency-Energy-Harvesting-Project
March 16, 2019 – March 21, 2019
Wireless Sensor Network Utilizing Radio-Frequency Energy Harvesting for Smart Building Applications
View ProjectPolicy-Stitching
March 10, 2019 – August 26, 2019
Modular Reinforcement Learning with policy stitching
View ProjectDiabetic-Retinopathy
December 18, 2018 – January 10, 2019
Diabetic Retinopathy classification on retina images into 5 different levels of severeness of diabetes
View ProjectSelf-Organizing-Maps-using-KNN
July 15, 2018 – July 16, 2018
High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neural Networks using K Nearest Neighbors
View ProjectBayesian-Changepoint-Detection
July 15, 2018 – July 16, 2018
High Frequency Time series Anomaly Detection using Online Bayesian Changepoint Detection Algorithm
View ProjectOrganisations
June 15, 2017 – July 19, 2017
This is an attempt to bring together all the groups and clubs in the institute. There will be customized functionality for each group/club, all being open to subscription. Hence each group/club will be able to send its subscribers push notifications informing about upcoming events or even a new pun.
View Projectinsti_feed
June 15, 2017 – June 21, 2017
An interface which attempts to attract all the non official traffic from smail. Here validated organisations can post any information through a portal. Immediate benefits are the estimation of the turnout and event planning.
View Projectnptel-exam-checklist-hybrid
September 15, 2016 – October 20, 2017
Hybrid app for NPTEL exam checklist
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration in data science. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit in a collaborative professional environment. The target role is Data Scientist, and the projects align well with this domain, but the breadth of technologies outside of Python/Jupyter Notebook for data science is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.