I'm a Master's student in Mechatronics at the University of Siegen, with a passion for machine learning, data science, and automotive engineering. I love exploring how things work and am eager to contribute to innovative projects in tech, science, and engineering!
🔍 Currently seeking: Master's thesis opportunities in ML/AI, battery systems, or automotive applications
Languages: Python, Julia, C/C++
Frameworks & Libraries: PyTorch, TensorFlow, PennyLane, OpenCV, NumPy, Pandas
Software & Tools: MATLAB, CoppeliaSim, Git/GitHub, VS Code, AutoCAD, Eagle, LTspice, KiCAD
Areas of Interest: Machine Learning, Deep Learning, Electric Vehicles, Battery Management Systems, Control Systems, Data Science, Motorsport Engineering
🏎️ EV Motor Temperature Prediction - Predictive modeling using neural networks for EV motor temperature forecasting
🔬 Quantum Machine Learning: Image Regression - Quantum ML model implementation using PennyLane
🎄 Christmas Challenge: Image Classification - Deep learning CNN for image classification (70% accuracy)
🤖 Robot Line Follower - Autonomous navigation simulation using CoppeliaSim and OpenCV
📫 Email: ishitamsingh@gmail.com
🔗 LinkedIn: linkedin.com/in/ishitasingh2212
🚀 Resume: (https://github.com/is2000/resume)
💡 Open to collaborations and interesting projects in ML, automotive tech, and data science!