About
Highly analytical and results-oriented professional with a Master's degree in Digital Society and a Bachelor's in Electrical and Electronics Engineering. Possessing a strong foundation in data analysis, UX research, and software testing, with a proven ability to leverage quantitative and qualitative methods to drive actionable insights. Adept at designing data systems, implementing machine learning models, and conducting user research to enhance product functionality and user experience. Seeking to apply diverse technical and research skills in a challenging data science or research-focused role.
Work
Summary
Contributed to data infrastructure development and analysis, enhancing data accessibility and facilitating comprehensive insights into spectrum pricing.
Highlights
Designed and implemented a relational database integrating 30+ global spectrum auction data points (PricePPP, PriceMHzPop), enabling comprehensive analysis of spectrum prices across 20+ countries and improving data accessibility by 60%.
Summary
Conducted extensive user research to identify key pain points and delivered actionable recommendations that influenced product redesign and new feature development.
Highlights
Spearheaded quantitative and qualitative user research initiatives, engaging 40+ participants through surveys, interviews, and usability testing to pinpoint the top 3 critical pain points in file sharing for new users.
Provided actionable, data-driven recommendations to the design team, directly influencing the redesign of a core file sharing feature and contributing to the successful release of 2 new product enhancements.
Summary
Ensured the reliability and compliance of critical avionics systems through rigorous testing and adherence to industry standards.
Highlights
Led comprehensive testing of cockpit avionics modules, executing over 300 test cases to ensure optimal system functionality and strict compliance with DO-178C safety standards.
Languages
English
Fluent
Skills
Programming Languages
Python, SQL, R.
Programming Languages
C/C++.
Research & Analysis
Quantitative Data Analysis.
Research & Analysis
Qualitative Data Analysis, Data Visualization, Statistical Modeling, Regression Analysis, Clustering (K-means), Decision Tree Classification, User Research, Usability Testing.
Developer Tools
Excel.
Developer Tools
Power BI, Tableau, Jupyter Notebook.
Developer Tools
Git, VS Code.
Libraries & Frameworks
Pandas, NumPy, scikit-learn.