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@MorganStanley
Data Scientist
June 12, 2026 – Present
MicroRWKV
April 22, 2024 – September 29, 2024
Implementation of a custom architecture on nanoRWKV: A nanoGPT-style adaptation of the RWKV Language Model, which combines the simplicity of RNNs with GPT-level performance for large language models (LLMs).
View ProjectMicroservices-Communication-with-RabbitMQ
March 23, 2024 – April 25, 2024
The inventory management system aims to efficiently manage inventory items, track stock levels, and handle orders through a microservices architecture.
View ProjectPyHMM
July 5, 2023 – April 27, 2024
A python implementation of isolated word recognition using Discrete Hidden Markov Model
View ProjectFile-Compression-Utility
June 27, 2023 – July 1, 2023
File Compression Utility built using C++ (OOPs)
View ProjectDataVault
April 9, 2023 – April 11, 2023
DataVault is a safe cloud storage web app. The user can store their data in web3.storage and also share the data with other people in a much secure and protected way.
View ProjectEscape-The-Maze
March 27, 2023 – April 6, 2023
Escape the Maze is a Python-based multiplayer game that uses Pygame and socket programming for real-time competition.
View ProjectCodeMob-KrishiSahayak
February 25, 2023 – June 1, 2023
This project uses ML model to predict plant disease and provides solutions to solve it.
View ProjectA-and-A-shopping
November 11, 2022 – November 29, 2022
Next GEN AI shopping Website , SEM 3 Web technology final project
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration across diverse technical areas. While this demonstrates curiosity, the breadth of projects (from kernel development to web apps) might indicate a lack of focused specialization for a senior Data Scientist role. The single listed experience as 'Data Scientist' at Morgan Stanley is future-dated (2026), suggesting no current professional experience in the target role. This raises concerns about immediate cultural and operational fit for a senior-level position requiring established industry practices and team collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.