Recent graduate with foundational knowledge in Electronics and Communication Engineering and hands-on experience gained through academic projects and internships. Demonstrates strong teamwork, problem-solving, and time-management skills. Prepared to start career and make meaningful contributions with commitment and drive.
Months Of professional experience
Python
Object-oriented programming
Machine learning
Scikit-learn library
Pandas library
NumPy library
Test automation
TensorFlow library
SQL
PowerBI
June 2024 – September 2024 | PCB Design, MIT App Inventor, Embedded C
Led the team in designing and developing an Internet Radio system with custom PCB hardware. Built a mobile app using MIT App Inventor for seamless control and integration with the radio hardware.
TensorFlow, Google Colab, Deep Learning
Developed a deep learning model using TensorFlow and neural networks to accurately classify dog breeds based on images. Trained and tested the model on Google Colab, focusing on improving accuracy through multiple experiments and fine-tuning techniques.
Scikit-learn, Python, Jupyter Notebook
Developed a machine learning model using Scikit-learn to predict car sale prices based on various features. Trained and tested the model using Jupyter Notebook, focusing on improving accuracy through data preprocessing, feature selection, and model tuning.