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Data Science with 2+ years in Machine Learning & Generative AI
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Data Scientist with 2+ years of experience in building scalable Machine Learning and Generative AI solutions across analytics, NLP, and AI automation domains. Skilled in developing transformer-based systems, RAG pipelines, FastAPI backends, and intelligent AI agents. Experienced in deploying production-grade AI systems using modern tools such as LangChain, Streamlit, Docker, and PostgreSQL. Strong problem solver with expertise in translating complex data into actionable insights.
Sambalpur University
Bachelor of Science (B.Sc)
August 1, 2018 – June 30, 2021
Pie Study
Data Scientist
April 1, 2024 – Present
Panaji, Goa, India
RAG-based Knowledge Chatbot (Retrieval-Augmented Generation)
April 1, 2024 – June 1, 2026
Developed a document Q&A chatbot using RAG architecture to retrieve relevant context before generating responses. Implemented vector embeddings with FAISS and Hugging Face for contextual search. Deployed as a Streamlit web app with real-time interaction and document upload capability.
AI Email Assistant (GenAI-based Email Prioritization Agent)
April 1, 2024 – June 1, 2026
Built an intelligent email prioritization agent that summarizes, filters, and replies only to important emails. Integrated Groq LLM for fast reasoning and LangChain for prompt chaining and context management. Designed a Streamlit interface for reviewing, approving, or auto-replying to important mails in real time.
Election Analytics Platform
April 1, 2024 – June 1, 2026
Built scalable FastAPI APIs for constituency and candidate analytics dashboards. Developed APIs for party-wise seat share, vote share trends, turnout analytics, and candidate performance analysis. Integrated PostgreSQL database with SQLAlchemy ORM and optimized complex analytical queries. Created interactive analytical dashboards for election insights and comparative analysis.
NASSCOM Certification in Data Science and Artificial Intelligence
NASSCOM
June 1, 2026 – Present
Google Generative AI Fundamentals
Coursera
June 1, 2026 – Present
LangChain for LLM Application Development
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG chatbots and AI email assistants to election analytics platforms, demonstrates adaptability and a broad interest in applying data science to various domains. The focus on modern AI/ML technologies and MLOps aligns well with innovative and fast-paced technical cultures. The certifications in Generative AI and LangChain further indicate a proactive learning attitude, which is a positive cultural fit indicator.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking, Communication, Collaboration, Research Orientation' as soft skills. The project descriptions indicate an ability to work on complex problems and deploy solutions, suggesting good operational fit for roles requiring end-to-end project ownership. However, without specific behavioral assessment data, the depth of these soft skills cannot be fully validated.