Industry Carbon Emissions Analysis: Led an analysis of product carbon footprint data, leveraging SQL to pinpoint industries with the highest carbon emissions and quantify their contribution to global environmental impact. The findings informed strategic discussions on sustainability. 

International Debt Analysis: Conducted a comprehensive analysis of international debt statistics from The World Bank. Utilized SQL to extract and analyze data, identifying significant trends and categorizing debt accumulation patterns among developing countries to inform economic understanding.

Vehicle sales - data analyzed to assess sales trends and pricing insights. Using MS Excel, the data was cleaned, transformed, and then visualized, using Tableau, to display patterns that would drive informed business decisions.

Vehicle Insurance Fraud - data analyzed by employing supervised and unsupervised machine learning to assess factors that influence price and demand. Using Python, the data was cleaned, transformed, feature-engineered, and then analyzed using Naive Bayes - Bernoulli, K-Nearest Neighbors, Logistic Regression, and Random Forest, to reveal patterns that would drive informed business decisions. 

Vehicle Insurance Fraud - data analyzed by employing supervised and unsupervised machine learning to assess factors that influence price and demand. Using Python, the data was cleaned, transformed, feature-engineered, and then analyzed using Naive Bayes - Bernoulli, K-Nearest Neighbors, Logistic Regression, and Random Forest, to reveal patterns that would drive informed business decisions. 

Loan Applicant - data analyzed by employing supervised and unsupervised machine learning to assess factors that influence approval. Using MS Excel, the data was cleaned, transformed, and then analyzed using logistic regression, decision trees, neural networks, cluster analysis to reveal patterns that drive informed business decisions.

Recommendations for increasing approval rates included: setting thresholds for specific criteria and increasing the number of applicants.

Developed a comprehensive web analytics measurement model for a fictitious skincare brand, Laranja, identifying digital marketing objectives, strategies, KPIs, targets, and customer segments. Created a data-driven framework to optimize customer retention, social media engagement, and email list growth using industry benchmarks and performance metrics.