Hello, my name is
Anshul Shrivastava
And I'm a
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About me

I'm Anshul and I'm a

Even though I am a student, I am highly motivated and committed to giving my best to any organization I work with. I believe in working with full dedication and responsibility so that I can contribute meaningfully to the growth, development, and long-term success of the organization.

I am passionate about building intelligent, user-focused applications using modern web and AI technologies. My goal is to continuously learn, improve, and achieve a strong position in the tech industry by delivering high-quality, impactful solutions. I thrive in fast-paced environments and consistently focus on completing tasks efficiently without compromising quality.

I aim to take responsibility for developing, improving, and maintaining scalable applications, while ensuring usability, performance, and reliability. I am also keen on implementing testing and optimization processes to ensure that applications meet both business requirements and user expectations......

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My services

AI / Machine Learning

Turning data into intelligent decisions by building end-to-end machine learning models, from data preprocessing and feature engineering to training, evaluation, and deployment, focused on real-world impact and scalability.

Generative AI & RAG Systems

Creating smart, context-aware AI applications using large language models, RAG pipelines, and vector databases to deliver fast, accurate, and production-ready AI experiences.

Full-Stack AI Development

Developing complete AI-powered web applications by seamlessly integrating machine learning models with robust backends and intuitive frontends, ensuring performance, usability, and reliability.

My skills

My creative skills & experiences.

I’m a motivated B.Tech Computer Science student at Panipat Institute of Engineering and Technology (PIET) with a strong passion for Artificial Intelligence, Machine Learning, and modern web development. I enjoy building real-world, end-to-end applications that combine intelligent backend systems with clean, user-friendly interfaces.
I have hands-on experience in developing machine learning models, Generative AI applications, and RAG-based systems, along with deploying them through FastAPI and Streamlit. I continuously explore new technologies, participate in hackathons, and work on practical projects that help me strengthen my problem-solving skills and industry readiness.
My goal is to grow as a versatile software and AI engineer by learning deeply, building consistently, and delivering solutions that are scalable, efficient, and impactful.

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PYTHON 85%
MACHINE LEARNING 80%
GEN AI 75%
SQL & DATABASES 85%
FASTAPI 70%
STREAMLIT 80%
GIT & GITHUB 75%

My Projects

Project 1

Credit Risk Evaluator

An end-to-end machine learning project that evaluates loan applicants and classifies credit risk into Poor, Average, Good, and Excellent categories using real-world financial data and industry-standard modeling techniques.

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Project 2

Health Insurance Premium Predictor

A machine learning–based system that predicts health insurance premiums using customer demographics, lifestyle, and medical risk factors with high accuracy and real-world risk segmentation.

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Project 3

Car Damage Detection

A deep learning–based image classification system that detects and categorizes car damage into six classes using transfer learning (ResNet50), enabling automated and accurate damage assessment.

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Project 4

Human Resource Assistant Tool

Agentic AI-powered HR automation system that handles employee onboarding, leave management, policy queries, and HR workflows using natural language interaction with LLM-based reasoning.

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Project 5

E-Commerce Chat Assistant

A Generative AI–powered multi-intent chatbot that handles product search, FAQs, and natural conversations using LLMs, embeddings, and vector databases to enhance online shopping experiences.

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Project 6

Real Estate Research Tool

An AI-powered research assistant built using RAG and LLMs that extracts insights from real estate news articles and answers user queries with source-backed responses.

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Project 7

AtliQo Bank Credit Card Analytics

Data analytics project focused on customer segmentation, spending behavior analysis, and A/B testing to identify the ideal target market for a new credit card launch.

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Project 8

Expense Tracker Web App

Full-stack expense tracking application built using Streamlit, FastAPI, and MySQL that allows users to manage daily expenses and view category-wise and monthly analytics through an interactive dashboard.

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Contact me

Get in Touch

Feel free to ask anything. If you have any suggestions, please let me know. Your suggestions are highly appreciated. I appreciate your time and try hard to reply to every single message posted here! Keep dropping your priceless opinions.

Name
Anshul Shrivastava
Address
Panipat, Haryana
Email
anshulshree0@gmail.com
Mobile
+91-9341843518
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