I transform complex data into actionable insights and build scalable web applications with intuitive interfaces.
I'm a multidisciplinary professional with expertise in data analysis, full-stack development, and UI/UX design. With over 5 years of experience, I help businesses leverage data and technology to solve complex problems.
My approach combines analytical thinking with creative problem solving to deliver solutions that are both functional and user friendly. I'm passionate about continuous learning and staying updated with the latest industry trends.
I specialize in transforming messy, siloed data into actionable intelligence building end-to-end pipelines, crafting visual narratives, and deploying scalable web applications. My toolkit spans Python (Pandas, NumPy, Scikit-learn), SQL/NoSQL databases, business intelligence platforms like Power BI, and modern web stacks. I also prioritize interpretability and ethical considerations in modeling, using techniques like SHAP and permutation importance to ensure stakeholders understand and trust the outcomes.
I thrive in cross-cultural, cross-functional environments, having collaborated with international partners, translated technical requirements, and communicated insights to both technical and non-technical audiences. I enjoy mentoring peers, contributing to open-source tooling around data hygiene, and automating recurring workflows to free up strategic bandwidth.
Specializing in Data Science and Artificial Intelligence. Coursework includes:
Achieved 87% avg makrs and Out Standing Student Award with a CPGA of 3.45 / 4. Key modules:
Data cleaning, analysis, and visualization using Python, Excel, SQL. Includes hands-on projects with IBM tools.
This professional certificate consists of 9 courses covering advanced techniques to collect, clean, analyze, and visualize data using Python, SQL, and Excel.
Includes hands-on projects with real-world datasets and IBM tools like Cognos Analytics.
Data modeling, DAX, interactive dashboards, and real-time analytics integration.
Covers data preparation, modeling, visualization, and sharing insights across an organization.
Teaches interactive report building, DAX calculations, row-level security, and publishing to the Power BI Service.
Intensive training covering Python fundamentals, data structures, algorithms, and practical applications.
Covered OOP, data structures, algorithms, and real-world projects in web development, data analysis, and automation.
Scored 251/300 on HSK Level 4, demonstrating fluency in a wide range of Mandarin topics.
Standardized Mandarin proficiency test—level 4 indicates ability to discuss complex topics and interact fluently with natives.
Score breakdown: Listening 87, Reading 95, Writing 69.
I'm currently looking for new opportunities in data science and full-stack development. Whether you have a question or just want to say hi, I'll do my best to get back to you!
Send Me an Email