Mohd Amaan Khan

Data Scientist

https://talent.gravityer.com/mohd-amaan-khan

AI/ML enthusiast and BCA graduate from Jamia Hamdard University. Experienced in building RAG-based chatbots using LangChain and exploring Agentic AI.

New Delhi, Delhi, India

Key Strengths

Demonstrated interest and practical experience in AI/ML, including local LLMs (Ollama), RAG with FAISS, and Agentic AI (Langgraph).
Proficiency in Python for data science and machine learning projects.
Experience with MLOps related tools like Dockerfile for deploying ML models (FastAPI application for Insurance Predictor).
Exposure to web development technologies (HTML, CSS, JavaScript) which can be beneficial for deploying ML-powered web applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML and web development. The diversity of projects, from chatbots to ML predictors, indicates a proactive learning approach. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment. The target role is 'Data Scientist', and the projects align well with the technical aspects of this role, particularly in applied machine learning and AI.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Insurance-Predictor

March 30, 2026 – Present

A FastAPI application that predicts the chances to buy insurance premuim powered by Machine Learning Model

View Project

AI-Powered-Smart-Support-And-Ticket-Resolution

March 27, 2026 – Present

About An AI-powered knowledge engine that uses a **local LLM via Ollama** and **RAG with FAISS** to retrieve relevant information for user-raised support tickets. **SQLite** manages user credentials and ticket history, enabling fast, secure, and intelligent ticket resolution with context-aware responses and efficient support management.

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Agentic-AI-Langgraph-

March 5, 2026 – Present

This repository has all practice code and understandings regarding Agentic AI, I learned using langgraph framework.

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Amaan7040

January 19, 2026 – Present

Amaan7040 — GitHub repository

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GeminiChatX

December 15, 2025 – Present

AI Chatbot for website and whatsapp as well as ai voice call bot

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AImsghubw

November 17, 2025 – November 24, 2025

AImsghubw — GitHub repository

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Message-Hub

October 31, 2025 – November 13, 2025

Message-Hub — GitHub repository

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Machine-Learning

July 20, 2024 – August 21, 2024

This is a Machine Learning Repository where you will get the source code of various ML projects and implement all these ML Projects by using Python Language. Also All the codes that are uploaded are implemented on Jupyter Notebook and Suggest you to use the same for ML .

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Web-Development

April 6, 2024 – June 19, 2024

Provide all Web Related Projects

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Python

April 6, 2024 – April 25, 2025

Provide all Python related Minor Projects

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Key Strengths

Demonstrated interest and practical experience in AI/ML, including local LLMs (Ollama), RAG with FAISS, and Agentic AI (Langgraph).
Proficiency in Python for data science and machine learning projects.
Experience with MLOps related tools like Dockerfile for deploying ML models (FastAPI application for Insurance Predictor).
Exposure to web development technologies (HTML, CSS, JavaScript) which can be beneficial for deploying ML-powered web applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Mohd Amaan Khan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit