SQL • Tableau • Power BI • R • Excel
View my GitHubProject Goal: To use advanced SQL queries and self-joins on payment processing data to detect cross-border fraud patterns, and analyze business revenue trends.
Key Insight: My analysis successfully flagged critical, short-window cross-border fraud accounts while identifying top VIP consumer profiles and driving categorical revenue growth visibility.
Project Goal: To use an Interactive Tableau Dashboard to analyze team efficiency, pace, SRS, and total wins of the 2016-17 NBA Season.
Key Insight: My analysis identified that game speed (Pace) is not directly correlated to total season wins, evidenced by the San Antonio Spurs.
Project Goal: To use Power BI to analyze influencer giveaway performance and visualize sales impact across diverse market categories.
Key Insight: My analysis identified that sales performance was pretty uniform across all marketing categories, with only a 4.5% variance between the top-performing "Tech" niche with 10.9M, and the lowest peforming "Gaming" niche still at 10.4M.
Project Goal: To analyze how environmental and logistical factors impact delivery performance.
Key Insights: Identified a $2,842 gender pay gap. Discovered that top performers earn 30% more on average than those on improvement plans.
Project Goal: To identify geographic and clinical trends driving hospital readmissions within 30-days.
The Takeaway: Southern states dominate the high-risk list; 60% of the top 10 states with the highest readmission rates are in the South, led by Mississippi and Arkansas.
The Takeaway: Heart Failure is the most critical outlier with a readmission rate near 22%, nearly 5 times higher than the rate for Hip/Knee replacements.
The Impact: This analysis reveals that chronic conditions like Heart Failure and COPD drive performance gaps far more than surgical recoveries, especially within the Southeastern U.S.
Project Goal: To examine global population trends using World Bank data from 1960 to 2017.
Key Insights: Regional analysis reveals South Asia (SAS) as a primary driver of global population growth, adding over 1.2 billion people.
Key Insights: The global population more than doubled in less than 60 years, surging from approximately 3 billion in 1960 to nearly 7.6 billion by 2017, and maintaining an unbroken upward trajectory.
Project Goal: To analyze how gender demographics and subject types influence average student academic performance.
Key Insights: Male students show strong performance in math, scoring 8% higher than female students. While female students outperform males in reading and writing, averaging 13% higher scores between the 2 subjects.
Project Goal: To analyze how environmental and logistical factors impact delivery performance.
The Takeaway: Harsh conditions like fog and storms don't just slow things downβthey increase delivery times by over 30% compared to clear skies.
The Takeaway: Interestingly, delivery times hit a plateau once a trip exceeds 10km; at that point, the average time stays around 30 minutes regardless of the extra distance.
The Takeaway: Navigating Metropolitan areas adds an 18% "time tax" compared to Urban routes, likely due to higher intersection density and parking challenges.
The Takeaway: Traffic "jams" are the single biggest bottleneck, nearly doubling delivery times compared to low-density traffic periods.
The Impact: My analysis identified that heavy traffic and specific weather conditions are the primary drivers of delays, increasing delivery times by up to 46%.
Tools Used: π οΈ Excel | π Google Sheets