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Prathamesh Khade

@user.2457078

Student at Pimpri Chinchwad College of Engineering

Pune, Maharashtra, India

Tata MotorsPimpri Chinchwad College of Engineering

Prathamesh Khade is a B.Tech student in Mechanical Engineering with a dual degree in Data Science at Pimpri Chinchwad College of Engineering. He has interned at Tata Motors, where he designed an Automated Guided Vehicle, and at TE Connectivity, where he applied machine learning and deep learning techniques achieving an R2 score of 0.85. He is skilled in Python, machine learning frameworks, and data visualization tools.

Experience

Research Intern

Tata Motors

Part-time•Jun 2023 - Sep 2023

Automated Guided Vehicle: Designed and implemented an Automated Guided Vehicle (AGV), from conceptualization to implementation, reducing human efforts by 20%. Web app Development: Created a user-friendly Python application for the AGV's interface, allowing seamless control and monitoring of the vehicle's functions.

Machine Learning Intern

TE Connectivity

Part-time•Nov 2022 - Apr 2023

Both projects encompassed data collection, preprocessing, model training, and evaluation, enhancing accuracy and security in diverse applications. Utilized the Dart library and Deep Learning techniques to achieve an R2 score of 0.85, resulting in a 5% increase in accuracy.

Education

Pimpri Chinchwad College of Engineering

Bachelor of Technology

Mechanical Engineering with Dual degree in Data Science

Jan 2020 - Jan 2024

Licenses & Certifications

Machine Learning Specialization

Stanford University & DeepLearning.AI

• No expiration

Introduction to Computer Vision and Image Processing

IBM

• No expiration

Generative Adversarial Networks (GANs) Specialization

DeepLearning.AI

• No expiration

Deep Learning Specialization

DeepLearning.AI

• No expiration

IBM AI Engineering Specialization

IBM

• No expiration

Skills

Python
HTML
CSS
JavaScript
SQL
MySQL
Tableau
Excel
Git
GitHub
NumPy
Pandas
Matplotlib
Seaborn
PySpark
Scikit-Learn
Beautiful Soup
TensorFlow
Statistics
Probability
Matrices