Key Strengths

Extensive personal project experience in AI/ML, particularly in NLP and RAG systems.
Demonstrated proficiency in Python, a core language for Data Science.
Experience with various AI frameworks and tools like TensorFlow, scikit-learn, LangGraph, Groq, and Google Gemini API.
Exposure to MLOps related concepts through Dockerfile usage in projects.
Familiarity with data science tools like Jupyter Notebook.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards self-driven learning and project development, which can be a positive cultural fit for innovative environments. However, the lack of team-based project experience or professional roles (beyond a future-dated 'Data Scientist' role) makes it difficult to fully assess cultural fit. The diversity of AI/ML projects suggests a broad interest in the field.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily through personal projects, and no psychometric or English test scores are available.

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Nikhil Pravin Pise

Data Scientist

https://www.opentalent.in/nikhil-pravin-pise

🎓 Sophomore @ DJ Sanghvi College of Engineering |🏆 2x Hackathon Winner | 3x Hackathon Finalist | 🚀 Seeking ML Dev roles

Dwarkadads J.Sanghvi College Of Engineering

IndiaMember since June 13, 2026

https://www.opentalent.in/nikhil-pravin-pise

Top Skills

PythonShellDockerfileJupyter NotebookJavaScriptCSSPowershellHTMLtypescriptMakefileProcfilePL/pgSQL

Skills

PythonShellDockerfileJupyter NotebookJavaScriptCSSPowershellHTMLtypescriptMakefileProcfilePL/pgSQL

Experience

Dwarkadads J.Sanghvi College Of Engineering

Data Scientist

June 13, 2026 – Present

Projects

Lumea

January 28, 2026 – Present

Lumea: AI health assistant that ingests PDFs/OCR, builds a Chroma vector store, and provides RAG-powered Q&A, a rules engine, and scheduler to send personalized health reminders via web UI, webhooks, or Twilio SMS.

View Project

Pramana.AI

December 13, 2025 – Present

🧬 AI-powered biomedical research platform built with LangGraph, Groq, and React 19. Features 5 specialized agents, real-time streaming, and Model Context Protocol (MCP) integration.

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Medium-Agent

November 28, 2025 – Present

📚 Turn Medium articles into audio, summaries, and AI reports. Features robust scraping with anti-bot bypass, Claude Desktop (MCP) integration, and a Gradio UI.

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MediGuard-Chatbot

November 22, 2025 – Present

🤖 An automated WhatsApp bot that enables programmatic messaging, command handling, and custom interactions using WhatsApp Web API

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Road-Safety-Intervention-Chatbot

November 16, 2025 – Present

🛑 An AI-powered system for recommending road safety interventions based on IRC standards, using Google Gemini API and hybrid RAG search.

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GGW-OdooXAmalthea

November 8, 2025 – Present

🚀 Full-stack ERP & Project Management system featuring a multi-tenant PostgreSQL schema, Kanban board, and RESTful API built with React and Node.js.

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VidyaSetu

September 15, 2025 – October 31, 2025

📚 Comprehensive digital platform designed to empower students, faculty, and administrators in managing academic portfolios, achievements, and institutional accreditation processes

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FreelanceMCP

August 9, 2025 – November 18, 2025

🚀 AI-powered freelance gig aggregator MCP server for Claude Desktop. Search gigs, generate proposals, negotiate rates & optimize profiles with ChatGroq AI.

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ML-Specialization

July 22, 2025 – November 27, 2025

📚 Solution notebooks for Andrew Ng's Machine Learning Specialization on Coursera | Supervised Learning, Neural Networks, Unsupervised Learning, Recommender Systems & Reinforcement Learning | Python, TensorFlow, scikit-learn

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SmartSearch-Influencer-Email-Outreach

July 7, 2025 – September 14, 2025

SmartReach is an AI-powered platform that helps you create personalized, multilingual email campaigns for influencers. With smart templates and real-time analytics, it boosts your global reach and response rates—making influencer marketing faster, smarter, and more effective.

View Project

Key Strengths

Extensive personal project experience in AI/ML, particularly in NLP and RAG systems.
Demonstrated proficiency in Python, a core language for Data Science.
Experience with various AI frameworks and tools like TensorFlow, scikit-learn, LangGraph, Groq, and Google Gemini API.
Exposure to MLOps related concepts through Dockerfile usage in projects.
Familiarity with data science tools like Jupyter Notebook.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily through personal projects, and no psychometric or English test scores are available.