๐ Hi there, I'm Mohd Zufran!
๐ I'm a dedicated and enthusiastic fresher currently pursuing my Master of Computer Applications (MCA) from Devi Ahilya Vishwavidyalaya (DAVV).
Iโm passionate about problem-solving and actively challenge myself on platforms like LeetCode and Codeforces to sharpen my algorithmic thinking and coding skills.
As an Open-Source Enthusiast, I love contributing to projects that foster collaboration and innovation. With a strong foundation in data structures and algorithms, I aim to build innovative solutions leveraging Artificial Intelligence, Machine Learning, and Deep Learning.
Iโm constantly learning advanced concepts and technologies to turn complex problems into elegant, efficient code.
Excited to collaborate on projects that push the boundaries of technology and create meaningful impact. Letโs connect and build the future together ๐ค!
๐ Iโm interested in...
- Artificial Intelligence ๐ง
- Complex Machine Learning & Deep Learning Topics ๐ค
- Real-world data challenges ๐
- Data Structures & Algorithms ๐งฎ
- Building smart systems with ethical AI โ๏ธ
๐ฑ Iโm currently learning...
Diving deep into complex topics to become ML-ready!
- ๐ง Advanced Feature Engineering & Selection
- ๐งฎ Model Interpretability with SHAP & LIME
- ๐ Hyperparameter Optimization (Optuna, Bayesian Optimization)
- ๐งฌ Deep Learning Architectures (CNNs, RNNs, Transformers)
- ๐ง Neural Network Regularization Techniques (Dropout, BatchNorm)
๐๏ธ Iโm looking to collaborate on...
- Open-source ML projects ๐ค
- Real-world data analysis problems
- Kaggle competitions ๐
- Projects involving computer vision or NLP
๐ซ How to reach me... Letโs connect and grow together! ๐
- ๐ง Email: mohdzufran7@gmail.com
- ๐ผ LinkedIn: http://www.linkedin.com/in/mohdzufran
๐ Pronouns: He/Him
โก Fun fact:
I turned my curiosity about how Siri works into a passion for building intelligent systems โ and now I canโt stop exploring how machines learn! ๐คฏ
Also... I can explain backpropagation using pizza slices ๐
๐งฐ Tech Toolbox :
- Languages: Python, R, SQL
- ML Libraries: scikit-learn, TensorFlow, Keras, PyTorch
- Data Tools: Pandas, NumPy, Matplotlib, Power BI
- Version Control: Git, GitHub
- Learning: Hugging Face, FastAPI, LangChain