Detail-oriented Data Analyst leveraging Python, SQL, and Excel to transform data into actionable insights. Skilled in A/B testing, data wrangling, and visualization, with proven open-source contributions driving measurable performance improvements.
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Data Analyst Intern
Udacity
Oct 2020 - May 2021(8 months)
• Analyzing A/B Test Results: Conducted an A/B test analysis on 290K+ users that revealed nearly identical conversion rates between the new (11.88%) and old (12.04%) pages—with simulation (96.03% of simulated differences exceeding the observed gap), proportions z-test, and logistic regression (p = 0.9392) confirming the lack of a statistically significant impact, even after controlling for country effects. • Wrangling and Analyzing WeRateDogs Data: Transformed 3 raw Twitter datasets into master CSVs by resolving issues such as duplicate URLs and data type mismatches, then analyzed the cleaned data to uncover a 0.93 correlation between retweets and favorites, a mean dog rating of 10.53 (max 14), and identified "pupper" as the most frequent