Data Science with 1+ years in AI, NLP & Machine Learning
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Highly motivated and results-oriented Data Scientist with 1.5 years of experience specializing in AI-powered solutions. Skilled in developing end-to-end data pipelines, implementing advanced NLP and ML models for tasks like resume parsing and content generation, and building interactive web applications. Proven ability to leverage technologies like LangChain, Hugging Face, and OpenAI APIs to deliver innovative and impactful projects.
D.Y. Patil College of Engineering and Technology
B-Tech · Computer Science & Engineering (Data Science)
August 1, 2022 – June 30, 2025
tCognition
Data Scientist
March 1, 2025 – Present
India
IIT Bombay
Data Science Intern
June 1, 2024 – July 1, 2024
India
Autonomous AI Blog Writing Agent
June 1, 2024 – Present
Developed a multi-agent content generation platform using LangGraph, orchestrating specialized agents for topic analysis, research, planning, content generation, and final content assembly. Integrated dynamic web research using Tavily Search API, enabling real-time information retrieval and evidence-based content generation for current and technical topics. Implemented parallel content creation using Map-Reduce workflows, reducing overall generation time while maintaining content consistency across multiple sections. Developed an AI-powered image planning and generation pipeline that automatically identified visualization opportunities, generated contextual images, and embedded them into publication-ready blog articles.
View ProjectAI-Powered Medical Chatbot
June 1, 2024 – Present
Developed an AI-powered Medical Chatbot using Retrieval-Augmented Generation (RAG) to answer health-related queries from medical documents. Built a complete document processing pipeline using PDF loading, text chunking, Hugging Face embeddings, and Pinecone vector database for semantic search. Implemented context-aware question answering using LangChain retrieval chains and OpenAI LLMS, improving response relevance and accuracy. Developed an interactive web application using Flask, enabling users to query medical knowledge through a real-time chatbot interface.
View ProjectCultural Fit Analysis
The candidate's projects, particularly the 'Autonomous AI Blog Writing Agent' and 'AI-Powered Medical Chatbot', showcase initiative and a passion for applying AI to diverse problems. The current role as a Data Scientist and previous internship align well with a target Data Science role, indicating a clear career path and interest. The breadth of technologies used across projects (LangGraph, LangChain, Hugging Face, Pinecone, Flask, Streamlit) suggests an eagerness to learn and adapt to new tools, which is a positive indicator for cultural fit in a dynamic environment. The personal projects also highlight a proactive approach to skill development outside of formal employment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a structured approach to problem-solving and an ability to translate complex requirements into functional solutions. The multi-agent system and RAG chatbot projects suggest strong analytical and design thinking. The current role at tCognition and internship at IIT Bombay demonstrate an ability to work in professional and research environments. However, without direct assessment data, specific soft skills like teamwork, leadership, or adaptability cannot be definitively evaluated.