I’m a Data Science & AI-oriented developer with a strong interdisciplinary background spanning biology, machine learning, and software engineering. My work focuses on turning complex data into actionable insights and building AI-powered, real-world solutions.
I actively combine scientific thinking, engineering discipline, and product mindset to develop projects that are not only technically sound but also meaningful and scalable.
- Python for Data Science, AI & Development — IBM via Coursera — Verify
- Getting Started with Git and GitHub — IBM via Coursera — Verify
- Introduction to Software Engineering — IBM via Coursera — Verify
- SQL (Basic) Certificate — HackerRank — Verify
- Building stronger fundamentals in statistics, ML, and data pipelines
- Practical NLP projects (embeddings, classification, transformer basics)
- Computer Vision experiments (transfer learning, detection fundamentals)
- Exploring bioinformatics datasets and workflows
Let’s connect
Open to feedback, collaboration, and learning opportunities. Reach out via LinkedIn or Email.