My Data Analytics Portfolio

Ginger Osinuga

SQL • Tableau • Power BI • R • Excel

View my GitHub

Fintech Transaction & Fraud Analysis (SQL)

Project 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.

πŸ“„ View GitHub README πŸ“ˆ View SQL Script




NBA Performance Dashboard (Tableau)

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.

πŸ“„ View GitHub README πŸ“ˆ Open INTERACTIVE Tableau




Influencer Marketing Dashboard (Power BI)

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.

πŸ“„ View GitHub README πŸ› οΈ Open INTERACTIVE Power BI




HR Analytics Audit (R)

Project Goal: To analyze how environmental and logistical factors impact delivery performance.


Traffic Analysis

Key Insights: Identified a $2,842 gender pay gap. Discovered that top performers earn 30% more on average than those on improvement plans.

πŸ“„ View GitHub README πŸ“ˆ View R Script




Hospital Readmission Analysis (Excel)

Project Goal: To identify geographic and clinical trends driving hospital readmissions within 30-days.


State Analysis

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.


Condition Analysis

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.





International Development (SQL)

Project Goal: To examine global population trends using World Bank data from 1960 to 2017.


Traffic Analysis

Key Insights: Regional analysis reveals South Asia (SAS) as a primary driver of global population growth, adding over 1.2 billion people.

Traffic Analysis

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.

πŸ“„ View GitHub README πŸ“ˆ View SQL Script



Student Performance Analysis (Tableau)

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.





Food Delivery Analysis (Excel)

Project Goal: To analyze how environmental and logistical factors impact delivery performance.


Weather Analysis

The Takeaway: Harsh conditions like fog and storms don't just slow things downβ€”they increase delivery times by over 30% compared to clear skies.


Distance Analysis

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.


City Analysis

The Takeaway: Navigating Metropolitan areas adds an 18% "time tax" compared to Urban routes, likely due to higher intersection density and parking challenges.


Traffic Analysis

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: πŸ› οΈ Excel | πŸ“Š Google Sheets