Welcome to my GitHub profile! I am a passionate Data Scientist and Machine Learning Enthusiast. I am deeply involved in solving real-world problems through AI, ML, and Data Science, and I enjoy experimenting with various datasets and technologies to uncover meaningful insights.
I am an intermediate-level Machine Learning Engineer with experience working on real-world AI and ML projects. I have a strong foundation in data analysis, exploratory data analysis (EDA), and predictive modeling, using various tools and technologies to create impactful solutions.
Python
Java
SQL
R (Basic)
scikit-learn
TensorFlow
PyTorch
Keras
Pandas
NumPy
Matplotlib
Seaborn
CNNs (Convolutional Neural Networks)
RNNs (Recurrent Neural Networks)
LSTMs (Long Short-Term Memory Networks)
Transformers
- Designed a hardware model combining IoT and Machine Learning for laptop security.
- Features include GPS tracking, AES-256 encryption, and anomaly detection using SVM.
- Developed an OCR solution using CNN and RNN, achieving 87% accuracy.
- Built a real-time AI-driven surveillance system for crowd management and security, improving response times by 35%.
- Created a chatbot to assist police officers by providing step-by-step guidance and real-time interrogation support using reinforcement learning.
- Reinforcement Learning: Enhancing intelligent systems for adaptive decision-making.
- MLOps: Streamlining model deployment and scalability.
- IoT Security: A hardware-based Anti-Theft Protection Kit for laptops combines IoT, ML, AES-256 encryption, and GPS tracking to ensure robust security, even offline or compromised.
Feel free to connect for collaboration, innovative projects, or professional opportunities!