AI/ML Engineer focused on building practical solutions using Python, SQL, Machine Learning, Statistics, and Data Analysis.
- Python and SQL
- Statistics and Probability
- NumPy and Pandas
- Data Visualization with Matplotlib and Seaborn
- Machine Learning with Scikit-learn
- Jupyter Notebook
- Data Analysis and Exploratory Data Analysis
- Strengthening Machine Learning concepts through hands-on implementation
- Working with real-world datasets and data analysis
- Building practical AI/ML projects
- Improving model evaluation and problem-solving skills
A structured collection of Statistics concepts, Python implementations, visualizations, and Machine Learning applications.
To build practical and reliable AI/ML solutions through continuous learning, hands-on projects, and real-world problem solving.
About Me Technical Skills Current Focus Featured Projects Learning Journey Contact / LinkedIn