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Data Science with less than a year in Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with a strong foundation in Data Science and Generative AI. Developed projects involving machine learning and AI-driven solutions, including real-world applications. Passionate about leveraging data and AI to solve practical problems and build impactful solutions.
Uttarakhand Technical University
Bachelor of Technology · Computer Science
August 1, 2021 – June 30, 2025
NareshIT
Data Science Intern
September 1, 2025 – May 31, 2026
Hyderābād, Telangana, India
Bhoomi AI (AI-Powered Agriculture Assistant)
March 1, 2026 – March 31, 2026
Developed an AI-powered agriculture platform combining Machine Learning, Deep Learning, and LLM-based chatbot for farmer assistance. Developed backend services using Flask and FastAPI with REST API integration. Implemented a YOLO-based CNN model for real-time plant disease detection from images. Integrated LangChain to build a context-aware chatbot for handling natural language queries. Applied data preprocessing, feature engineering, and predictive modeling for crop recommendation. Ranked in Top 50 teams in a hackathon for innovative AI solution.
RAG-Based PDF Chatbot
January 1, 2026 – January 31, 2026
Built RAG system to answer queries from PDFs using embeddings and vector search. Developed LLM chatbot with LangChain for context-aware responses. Designed FastAPI APIs and deployed using Docker.
Cultural Fit Analysis
The candidate's academic projects, particularly 'Bhoomi AI' which addresses a real-world agricultural problem, demonstrate an interest in impactful solutions and innovation. The range of technologies used across projects (Python, ML, DL, LLMs, Web Dev, Databases) shows a broad technical curiosity. The target role of Data Science aligns well with the candidate's stated interests and project experience. However, the experience is primarily academic and internship-based, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-faceted problems and integrate various technologies. The hackathon achievement indicates a drive for innovation and potentially good teamwork skills, though direct evidence of collaboration or stress handling is not provided. The internship experience, though future-dated, outlines a structured learning approach to core data science concepts.