I work on data science, machine learning, and applied AI.
I build educational open-source projects, write practical articles, and share hands-on ML knowledge for learners and practitioners.
- πΌ LinkedIn
- βοΈ Medium
- π° Newsletter (Substack)
- π Kaggle
- π₯ YouTube
- π Google Scholar
These are the projects I recommend starting with:
-
Data Science Portfolio
Skill-based data science projects covering the full workflow. -
Practical Data Science Blog
My Medium articles with friendly, no-paywall access. -
Machine Learning Practical Guide
Clear explanations of ML and deep learning concepts with code. -
Data Science Interview Q&A
Curated interview questions with structured answers.
- End-to-End Data Science Projects
- Practical Machine Learning Tips
- Stable Diffusion Crash Course
- Practical Computer Vision in Python
- Efficient Python for Data Scientists
- Time Series in Python
- π E-books & Courses
- π§ Mentoring & Career Guidance
Python Β· PyTorch Β· TensorFlow Β· Scikit-learn Β· Pandas Β· PostgreSQL
Computer Vision Β· Time Series Β· NLP Β· Linux Β· Git Β· Bash




