---
title: "Sattwik Batabyal - Development Intern in Kolkata | Tal"
description: "Meet Sattwik Batabyal, Attended The Neotia University based in Kolkata."
image: "https://tal.club/meet/sattwik-1/share-image"
---

# Sattwik Batabyal on Tal

## Headline

Attended The Neotia University

## About

I am a Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning, passionate about developing innovative solutions using emerging technologies\. My interests include Machine Learning, Deep Learning, Computer Vision, Data Science, and Mobile Application Development\. I have worked on projects involving image classification, sign language recognition systems, Vision Transformers for medical imaging, and Flutter\-based educational applications\. Through these projects, I have gained hands\-on experience with Python, TensorFlow, Keras, OpenCV, Flutter, and data analysis techniques\. I am continuously exploring new technologies and seeking opportunities to apply my technical knowledge to real\-world challenges\. I am eager to learn, collaborate with professionals, and contribute to impactful projects that drive innovation and growth\.

## Location

Kolkata

## Work experience

Development Intern at Xeta Labs, Jun 2025 \- Sep 2025 · 4 mos, • Designed and developed a Kids Learning App using Flutter and Android Studio\. • Implemented category\-based learning modules with images and labels\. • Built level\-based guessing screens and mapped alphabets using local data\. • Improved UI/UX and optimized navigation flow\.

Machine Learning Intern at DIVS RIVIN TECHNOLOGY \(COTPOT\), May 2025 \- Jun 2025 · 2 mos, • Developed a Heart Disease Prediction model using Logistic Regression, KNN, and Decision Tree\. • Applied preprocessing: scaling, train–test split, hyperparameter tuning \(GridSearchCV\)\. • Evaluated using accuracy, confusion matrix, classification report, ROC\-AUC\. • Created and interpreted decision tree visualizations for model explainability\.

Machine Learning Intern at Webel, Jun 2024 \- Jul 2024 · 2 mos, • Built an IPL Player Price Prediction model using Random Forest, Gradient Boosting, Extra Trees, Ridge, and Lasso\. • Performed data cleaning, preprocessing, and feature engineering for model training\. • Evaluated models using MSE and analyzed limitations due to noisy and unstable data\. • Compared multiple regression techniques to understand model behavior on inconsistent datasets\.

## Education

Bachelor in Technology, Computer Software Engineering, The neotia University

Bachelor of Technology, Computer Engineering, The neotia University

[View the original profile](https://tal.club/meet/sattwik-1)

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