Hello, I'm Gaurav Mangate

An AI and Machine Learning Developer passionate about building intelligent systems and data-driven solutions.

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About Me

Get to know me!

Who am I?

I am an aspiring AI and Machine Learning Developer with a strong foundation in deep learning, natural language processing, and data analysis. I specialize in creating intelligent applications, from detecting medical conditions in MRI scans to building smart chatbots and predictive models.

My background in software development and my passion for AI drive me to continuously learn and build impactful projects. When I'm not coding, I'm usually exploring new technologies, contributing to open-source, or analyzing data from my latest project.

View My Resume

Education

B.Tech Computer Science

DIEMS

Experience

Kaggle Expert with strong data science skills

Kaggle

Location

Maharastra,India

My Projects

Here are a few projects I've worked on.

Brain Tumor Detection

A deep learning tool to classify MRI scans for tumors. Uses CNNs (and fine-tuned backbones like ResNet) for accurate classification.

Deep Learning CNN TensorFlow/Keras Python

Source Code

BitCoin Price Prediction

A machine learning-driven model for predicting Bitcoin prices based on historical data such as Open, High, Low, and Close prices.

Machine Learning Time Series Prediction Jupyter Notebook

Source Code

Potato Disease Classification

A deep learning application designed to identify and classify diseases in potato plants using images of their leaves.

Deep Learning CNN Image Classification Jupyter Notebook

Source Code

SmartChain Orchestrator

Automatically fetches emails, reads CSVs, cleans/validates data, saves to PostgreSQL (Supabase), and uses Quadratic AI for insights.

Automation AI Data Pipeline PostgreSQL

Source Code

Book Recommendation System

A Python-based system that analyzes user input and book data (including PDFs) to suggest relevant books, featuring a web interface.

Recommender System Python NLP

Source Code

Olympics Data Analysis Web App

A web app allowing users to explore and analyze Olympic Games data with interactive visualizations and detailed insights.

Data Analysis Data Viz Web App

Source Code

Grade Predictor API

An ML-based tool to predict student grades based on factors like attendance, study hours, and extracurricular activities.

Machine Learning API Prediction

Source Code

Salary Prediction

An ML application to predict an individual's salary based on factors such as experience, education level, and job role.

Machine Learning Regression Jupyter Notebook

Source Code

Employee Payroll Management System

A web application for managing employee records, processing salaries, and handling payroll operations.

Web App Management System PHP/SQL

Source Code

My Skills

My technical and professional capabilities.

Programming, Data & AI

Python

Deep Learning (TensorFlow, Keras)

Machine Learning (Scikit-learn)

NLP (LangChain, Transformers)

SQL (PostgreSQL, MySQL)

HTML, CSS, PHP

Tools, Platforms & Professional

Git & GitHub

AWS (Deployment)

Jupyter Notebook

Vector DBs (Pinecone, Supabase)

Problem Solving

Teamwork & Communication

Contact Me

Get in touch for any questions or opportunities!

Feel free to reach out to me. I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Email

Gauravmangate27@gmail.com

Location

Maharastra,India

# Python ML Code Sample
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score

# Load and prepare data
X, y = load_data()
X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.25, random_state=42
)

# Train model
model = RandomForestClassifier(n_estimators=100)
model.fit(X_train, y_train)

# Evaluate
preds = model.predict(X_test)
acc = accuracy_score(y_test, preds)
print(f"Model Accuracy: {acc:.2f}")