Category	Tools & Technologies
Data Science
Databases
BI & Viz

• Business Problem: How to leverage generative AI to streamline high-quality, cinematic sports product marketing?
• Solution: Produced a full AI-driven commercial utilizing advanced visual generation, sound design, and complex post-production editing workflows.
• Result: Developed a scalable framework for generating consistent visual assets, demonstrating the viability of AI in reducing production timelines while maintaining premium brand standards.
• Tech: Generative AI, Video Production, Creative Direction, Marketing Strategy.

• Business Problem: Maximize campaign conversion rates and ensure statistical significance in marketing spend decisions.
• Solution: Designed and evaluated an A/B test framework using Python to analyze user behavior, test hypotheses, and evaluate campaign performance metrics.
• Result: Identified the statistically significant winning variant, providing actionable, data-driven recommendations to scale ROI.
• Tech: Python, Statistical Analysis, A/B Testing, Marketing Analytics.

• Business Problem: How to optimize marketing spend in a 400k+ transaction dataset?
• Solution: Developed an RFM model in Python to identify high-value "Champions" and "At-Risk" segments.
• Result: Provided actionable insights for a 20% targeted retention campaign.
• Tech: Python, Pandas, Matplotlib, Marketing Analytics.

• Business Problem: Minimize financial loss from loan defaults in a high-risk portfolio.
• Solution: Built a Logistic Regression model with Scikit-Learn, optimizing for Recall to detect potential defaulters.
• Result: Increased detection of toxic loans from 27% to 71%, potentially saving millions in bad debt.
• Tech: Python, Machine Learning, Risk Management Strategy.

Description: Analyzed 8,000+ digital marketing campaign records to audit ad spend efficiency, maximize Return on Investment (ROI), and identify high-converting customer acquisition channels.
Tools: Tableau, Data Analysis, Business Intelligence, Logical Modeling, Financial KPIs.
Key Achievements:

• Engineered core financial KPIs (Net Profit, ROI) using calculated fields to translate raw transactional data into actionable business metrics.
• Identified the Referral channel as the primary revenue driver, generating $14.1M in net profit and outperforming paid channels with a 162.9% average ROI.
• Formulated a data-driven strategy to reallocate 15% of underperforming social media ad budgets toward scaling high-yield customer loyalty programs.