Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'doremi' (RAG using Llama2 & ChromaDB) and 'MLOps'.
Proficiency in Python, a core language for Data Science, as evidenced by multiple projects.
Exposure to various AI/ML concepts including NLP, DL, Transformers, LLM, and Gen AI.
Experience with tools like Jupyter Notebook and frameworks related to LLMs.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in various technical domains, including web development, mobile development, and data science. This indicates a self-starter mentality and a passion for technology. The current role as 'Data Scientist' aligns directly with the target role, suggesting a focused career path. The diversity of projects, while broad, also includes several directly relevant to Data Science, indicating a good fit for a role that values continuous learning and practical application.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.

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Bishnudev Khutia

Data Scientist

https://www.opentalent.in/bishnudev-khutia

Socially Introvert but Technologically Extrovert :)

@abblor

IndiaMember since June 12, 2026

https://www.opentalent.in/bishnudev-khutia

Top Skills

typescriptJavaScriptCSSHTMLDockerfileDartC++CMakeSwiftPythonJupyter NotebookCython

Skills

typescriptJavaScriptCSSHTMLDockerfileDartC++CMakeSwiftPythonJupyter NotebookCython

Experience

@abblor

Data Scientist

June 12, 2026 – Present

Projects

doremi

August 6, 2024 – August 8, 2024

RAG using Llama2 & ChromaDB

View Project

MLOps

June 17, 2024 – Present

ML -> NLP -> DL -> Transformers -> LLM -> Gen AI

View Project

visitorplus

December 9, 2023 – December 9, 2023

Visitor Countable Redis Environment

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'doremi' (RAG using Llama2 & ChromaDB) and 'MLOps'.
Proficiency in Python, a core language for Data Science, as evidenced by multiple projects.
Exposure to various AI/ML concepts including NLP, DL, Transformers, LLM, and Gen AI.
Experience with tools like Jupyter Notebook and frameworks related to LLMs.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.