Proficient in Generative AI, Natural Language Processing, Deep Learning, Machine Learning, Probabilistic ML, and Statistical Analysis & Modelling
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JPMorgan & Chase
Data Scientist
June 18, 2026 – Present
devanyaagriscience.github.io
December 28, 2025 – Present
Devanya Agri Science Official Website
View Projectpython-tflint
March 30, 2024 – March 30, 2024
This package aims to provide linting features for Terraform HCL scripts using Python
View Projectpython-json2hcl
March 29, 2024 – March 29, 2024
Function of this module is to convert python-hcl2 parsed json object into hcl formatted text again in Python. Since there is obvious ambiguity in representation and it can seen here: Link. We might use some contextual info and Heuristics/LLMs to resolve some of this ambiguity. Inspiration: https://github.com/kvz/json2hcl
View ProjectPyConIndia2018-PyTorch-Medical-Imaging
October 5, 2018 – October 5, 2018
Medical Imaging in PyTorch workshop content from PyCon2018 Hyderabad!!
View ProjectHyperledger-Fabric-Insurance-Application
March 20, 2018 – September 4, 2020
Built on top of IBM's Hyperledger Blockchain Framework, it's a sample project to try out and see affects of changes in chaincode and other scripts
View ProjectDigital-Handwriting
December 12, 2017 – December 25, 2019
Developing a system that will transform one handwriting to another pre-trained handwriting with the help of Long Short Term Memory (LSTM) Networks Technology Used : Deep Learning & Neural Networks, TensorFlow, Python
View ProjectIR-Complaint-Feedback-Management-System
December 11, 2017 – December 25, 2017
The project invloves real-time classfication of Indian Railways tweets into emergency and feedback using Apache Spark, Kafka, MySQL and PHP. It also facilitates interactive response via Twitter API in the same application with the help of front-end technologies like HTML, CSS, Bootstrap, JQuery, JavaScript and AJAX.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal exploration and learning across various domains, from deep learning to blockchain and web development. This indicates a proactive and curious individual. However, the projects are predominantly personal, and there is no information on team collaboration or contributions to open-source projects, which limits the assessment of cultural fit in a collaborative corporate environment. The target role is Data Scientist, and while many projects align, the breadth also suggests a generalist interest rather than a focused deep dive into specific data science sub-domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges, but there is no information on collaboration, problem-solving approach, or communication style.