🎓 Engineering Student
🤖 Machine Learning & Deep Learning Enthusiast
📊 NLP | TensorFlow | Classical ML
🚀 Building projects from fundamentals to production
- Languages: Python, C++
- ML/DL: Scikit-learn, TensorFlow, Keras
- NLP: TF-IDF, Word Embeddings, Neural Networks
- Tools: Git, GitHub, Google Colab
- Built TF-IDF + Logistic Regression baseline
- Extended to TensorFlow neural network with embeddings
- Evaluated and compared classical ML vs DL approaches
🔗 Repo: https://github.com/trishantjaiswal/text-classification-deep-learning
-Investigating BMS design for Li-ion batteries, focusing on voltage/current sensing, cell balancing, and fault protection
-Exploring SOC and SOH estimation techniques using equivalent circuit models and data-driven approaches
-Studying thermal behavior, aging effects, and their impact on battery performance and safety
-Reviewing industry practices and standards relevant to EV and energy storage systems