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.”