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Shivam Shukla

Hi! I am Shivam Shukla

Data Science & Machine Learning Student

Passionate about transforming data into actionable insights through advanced analytics and machine learning

I'm a Data Science and ML student at VIT Bhopal. I love solving real-world problems. I've built projects like fake news detection, spam mail detection, and plant disease classification. I'm open to internships and collaborations in data science and machine learning.

300+

DSA Problems Solved

8.64

Current CGPA

Featured Projects

Potato Leaf Disease Classifier

CNN-based deep learning model to classify potato leaf diseases with 97-100% accuracy, enabling early detection of early blight and late blight for farmers.

Python TensorFlow CNN OpenCV Keras

InboxGuard - SMS Spam Classifier

End-to-end NLP system using TF-IDF and Naive Bayes to classify SMS messages with 97% accuracy and real-time predictions.

Python NLP Flask Scikit-Learn

Aptitude Test Application

Backend-focused quiz application with modular design to simulate aptitude rounds using APIs, dynamic question handling, and user score tracking.

Python Flask REST API JSON

FinUPI - UPI Transaction Simulator

Simulates real-time digital transactions with virtual UPI IDs, wallet management, and transaction history using MySQL and OOP-based backend design.

Python Flask MySQL OOP

Movie Recommendation System

Intelligent movie recommender using cosine similarity and NLP techniques with Streamlit UI and TMDB API integration.

Python Streamlit NLP API

Telegram Tech Quiz Bot

Interactive MCQ quiz bot using Dialogflow with webhook integration and Open Trivia DB API for technical questions.

Dialogflow Flask API Telegram

Technical Skills

Programming Languages

Python SQL C++

Data Science & ML

Pandas NumPy Scikit-Learn TensorFlow NLP

Visualization & Tools

Matplotlib Seaborn Streamlit Flask

Core Competencies

Data Cleaning EDA Feature Engineering Model Development

Education & Achievements

VIT Bhopal University

Integrated M.Tech. in CSE (Computation and Data Science)

CGPA: 8.64 | Expected 2026

Specializing in advanced data science techniques, machine learning algorithms, and computational methods.

AKLANK Day Boarding, Kota

Senior Secondary (Class XII)

88.2% | 2020

Strong foundation in mathematics and science subjects.

Competitive Programming

Active Problem Solver

GFG Rating: 1807 (Top 7.97%) | LeetCode Rating: 1602 (Top 22.84%)

Solved 500+ unique DSA problems with consistent practice and contest participation.

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