---
title: "paresh purohit - Machine Learning Engineer in Ahmedabad | Tal"
description: "Meet paresh purohit, Aspiring AI/ML Engineer | Python • Machine Learning • Data Science | Building Real-World Projects | Open to Work based in Ahmedabad. Explore public work links including github."
image: "https://tal.club/meet/paresh-purohit/share-image"
---

# paresh purohit on Tal

## Headline

Aspiring AI/ML Engineer \| Python • Machine Learning • Data Science \| Building Real\-World Projects \| Open to Work

## About

I am a final\-year BTech student specializing in Artificial Intelligence and Machine Learning with strong interest in Python development, Machine Learning, and Data Science\. I enjoy building real\-world projects and continuously improving my technical skills in Python, OOP, SQL, Machine Learning, and problem\-solving\. Currently, I am looking for internships and entry\-level opportunities where I can contribute, learn from experienced professionals, and grow as a software engineer\. Technical Skills: • Python • Machine Learning • Data Science • SQL • Scikit\-learn • Git & GitHub Open to: ✔ AI/ML Internship ✔ Python Developer Roles ✔ Data Science Internship ✔ Software Development Opportunities

## Location

Ahmedabad

## Work experience

Machine Learning Engineer at Part\-time, Jan 2025 \- Present · 1 yr 5 mos, Vadodara, Gujarat, India, Machine Learning Project Developer • Developed a Customer Churn Prediction model using Random Forest algorithm • Worked with a dataset of 4GB and performed data cleaning and preprocessing • Achieved 95% accuracy through feature engineering and model tuning • Tools used: Python, Pandas, NumPy, Scikit\-learn

AI & ML intern at CODTECH IT SOLUTION, Jan 2026 \- Apr 2026 · 4 mos, Hyderabad, Telangana, India, AI & ML Intern \| CodTech IT Solutions Model Development: Architected and optimized machine learning models using TensorFlow and Scikit\-learn, focusing on improving accuracy and generalization for real\-world AI applications\. Data Pipeline Automation: Designed end\-to\-end data pipelines—from ingestion to feature engineering—reducing manual preparation time by 40%\. Neural Networks: Built and evaluated complex neural network architectures with Keras, utilizing hyperparameter tuning and cross\-validation to maximize performance across classification and regression tasks\. Natural Language Processing: Spearheaded NLP experiments by preprocessing large text corpora and implementing baseline models to turn unstructured data into actionable insights\. Model Deployment: Bridged the gap between development and production by packaging trained models into REST API endpoints, validating reliability via Postman testing\.

## Education

Bachelor of Engineering \- BE, Computer Science, Parul University

## Public links

- github: https://github\.com/paresh980

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

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