Data Analyst with a strong foundation in analytical thinking, data cleaning, visualization, and experimentation. Skilled in Python (Pandas, NumPy), SQL, and Tableau, with hands-on experience conducting A/B tests, hypothesis testing, and user behavior analysis. Demonstrated ability to turn complex datasets into clear insights
and actionable recommendations. Detail-oriented, capable of independent research, and effective in collaborative environments. Upper-Intermediate English.
Additional Background:
Psychology graduate with experience in research design, behavioral analysis, and structured problem-solving — skills that enhance analytical reasoning and user-focused data interpretation.
