Anmol Mehra — AI & Data Science Engineer

B.Tech AI & Data Science Undergraduate

ANMOL MEHRA

AI Engineer · Product Enthusiast · Data Scientist

B.Tech AI & Data Science undergraduate with hands-on experience in data analysis, machine learning, Product Devlopment and data-driven applications. Proficient in Python and SQL, with strong skills in EDA, predictive modeling, and data visualization. Passionate about solving problems using scalable, data-driven solutions.

+91 9325625810 anmol2005mehra@gmail.com linkedin.com/in/techanmol

ML Techniques

Certifications

Projects Built

CGPA Score %

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Technical Skills

Languages

Python HTML CSS C++ SQL

Libraries

Pandas NumPy Scikit-learn TensorFlow Matplotlib Seaborn

Databases & APIs

FastAPI REST APIs MySQL MongoDB

Tools

Power BI Apache Spark WEKA Jupyter Excel Streamlit

AI / NLP & RAG

LangChain FAISS NLP Prompt Engineering RAG OpenAI API

ML Techniques

K-Means Gradient Boosting Ridge Regression GBM Random Forest Neural Networks

Featured Projects

⭐ Major Project

Trade Analysis

FinTech trade analysis system for analyzing trading behavior and financial performance with explainable AI insights.

Developed a FinTech trade analysis system using Python (Pandas, NumPy, Scikit-learn)
Generated explainable insights on trading losses related to entry timing, exits, and market volatility
Detected behavioral patterns such as panic trading and FOMO-driven decisions
Applied 12+ ML techniques including K-Means Clustering, Gradient Boosting, Ridge Regression & Geometric Brownian Motion
Built interactive Streamlit dashboard for real-time visualization of trade performance
Designed end-to-end pipeline for data preprocessing, modeling, and insight generation

Python Pandas Scikit-learn Streamlit ML

Live Demo

🤖 RAG System

Talk2PDF

AI-powered PDF Question-Answering system using Retrieval-Augmented Generation (RAG) architecture for intelligent document interaction.

Built AI-powered PDF QA system using RAG architecture in Python
Implemented text extraction, chunking, and embedding generation for efficient indexing
Utilized FAISS vector database with cosine similarity for semantic search
Integrated LLM APIs (OpenAI/Gemini) for generating context-aware, document-grounded answers
Applied prompt engineering to improve answer relevance and reduce hallucinations
Built REST APIs for PDF upload, indexing, and real-time query processing
Optimized retrieval strategy and chunk size to enhance accuracy and reduce latency

RAG FAISS LangChain OpenAI FastAPI

Experience

Adfar Technologies

May 2025 – Apr 2026

Lead Generation & Analysis Intern · Remote · Saudi Arabia–based

Worked remotely with a Saudi Arabia–based firm, gaining global exposure to digital marketing and lead generation
Generated and managed leads by analyzing user behavior and engagement patterns across LinkedIn and Twitter
Designed and executed email marketing campaigns using Mailchimp, performing audience segmentation and tracking open/click-through rates
Conducted campaign performance analysis to optimize engagement and improve lead conversion rates
Performed web scraping and data extraction to build structured datasets for targeted lead generation
Developed insights from marketing data to support decision-making and improve outreach effectiveness
Created and published engaging LinkedIn posts to increase brand visibility

Secure Hack Company

June 2025 · 4 weeks

Cybersecurity Trainee

Developed a cybersecurity demo suite simulating attacks such as brute-force, FTP password guessing, and port scanning
Utilized Kali Linux and Ubuntu to perform vulnerability testing and security demonstrations
Gained hands-on experience in identifying system vulnerabilities and attack vectors
Focused on threat awareness, detection techniques, and prevention strategies for common cyber attacks
Strengthened understanding of network security concepts and ethical hacking practices

Technical Skills

Featured Projects

Experience

Education

Certifications