Building data-driven solutions and architecting intelligent systems. I specialize in turning complex datasets into actionable insights through robust ML Algorithms and Deep Learning architectures.
- Languages: Python
- ML/DL: Supervised & Unsupervised Learning (KNN, Linear Regression, K-Means Clustering), PyTorch, OLS Modeling
- Libraries: Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn
- Tools: Git, GitHub, Jupyter Notebook, VS Code, Linux
- Deep Learning Study Portfolio: A structured repository covering fundamentals to advanced DL concepts with experiments and visualizations using PyTorch.
- House Price Prediction: End-to-end ML project using Linear Regression with full data pipeline and model evaluation.
- Multiple Linear Regression (OLS): Implementation of Multiple Linear Regression using OLS Closed Form on the California Housing Dataset from scratch.
- Machine Learning Project: Model training on Breast Cancer Diagnosis Kaggle Dataset using KNN Algorithm.
- Airbnb Clustering Analysis: Market segmentation of NYC Airbnb listings using K-Means clustering to identify pricing patterns.
- LinkedIn | Let's build the future of AI together.