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Data Scientist, ML & AI || IIT BHU || Email: dushyant.singh.civ16@itbhu.ac.in
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Assessing your cultural and operational fit
FPL Technologies
Data Scientist
June 19, 2026 – Present
crewai-email-automation
January 21, 2026 – Present
crewai-email-automation — GitHub repository
View Projectft-llama3-8b-16bit-credit_analyst
July 24, 2025 – July 24, 2025
This model is a fine-tuned version of `meta-llama/Meta-Llama-3-8B-Instruct`, specifically adapted to function as an expert credit analyst
View Projectlanggraph-youtube-summarizer
June 12, 2025 – June 13, 2025
langgraph-youtube-summarizer — GitHub repository
View Projectpydantic-sql-fastapi
May 26, 2025 – May 26, 2025
An async FastAPI-based LLM Q&A API using Gemini, Pydantic, SQLAlchemy and structured logging with SQLite persistence.
View Projecthf-space-coding-assistant
May 19, 2025 – May 19, 2025
Chat with DeepSeek Coder 1.3B Instruct on HuggingFace Space
View ProjectAWS-Bedrock
February 25, 2025 – February 25, 2025
Deployed AWS Bedrock model locally used LangChain, Bedrock client API and Streamlit ("amazon.titan-embed-text-v2:0" & "meta.llama3-8b-instruct-v1:0" ). Also, explored "amazon.titan-image-generator-v1" for image generation.
View Projectpan-card-ocr
July 6, 2020 – July 20, 2020
Text detection from pan card and writing in json format
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong self-driven learning approach in the AI/ML domain. The current role as 'Data Scientist' at FPL Technologies aligns with the target role. However, the lack of diverse project types (e.g., team projects, open-source contributions beyond personal repos) and limited information on non-technical skills makes a comprehensive cultural fit assessment challenging. The experience level is listed as 0, which contradicts the current 'Data Scientist' role, suggesting a potential data discrepancy or very recent entry into the role.
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.