I’m a passionate Data Scientist & Engineer with a strong foundation in both quantitative analysis and qualitative research.
Through my academic, professional, and project experiences, I’ve developed expertise in building models, analyzing and structuring data, and drawing actionable insights. I enjoy solving complex problems with data, while communicating results clearly for decision-making.
- 🧑🏻🏫 Background: Bioinfomratics, Data Science, Analytics, and Engineering and with 8+ years in data pipeline development, big data analytics, and cloud platforms (Azure, AWS,GCP).
- 🎓 Currently a Graduate Student at the School of Business, the George Washington University,
- 🛠️ Held a team leadership
- 🧑🏻🍳 Passionate about building innovative solutions, facilitating research, overhauling data infrastructure, and contributing to academic communities
- 💻 Skilled in: Python, R, SQL, and Azure Data Tools
- 📊 Interests: Machine Learning, NLP, Data Architecture, and Cloud-based ETL Pipelines
- 🌱 Currently Learning: Advanced ML models and scalable data engineering systems
- 🤝 Open to: Collaboration on data-driven projects and career development initiatives
- ⚡ Fun fact: I enjoy blending numbers with narratives to uncover hidden opportunities
✨ “Blending data, technology, and collaboration to drive meaningful impact.”