By utilizing product-pairing analysis, Steven helped a global sports apparel and footwear manufacturer increase its e-commerce sales.
Learn how Steven built and trained machine learning models to analyze product images and determine their primary and secondary colors by leveraging convolutional neural networks and clustering algorithms.
Steven utilized data engineering and Tableau's self-service analytics capabilities to build a robust reporting environment, empowering business users to explore curated data environments, derive insights, and share their findings for data-driven decision-making.
A brand health assessment model leveraging machine learning and consumer analytics was developed to measure brand performance, customer retention, and cross-brand engagement, empowering data-driven marketing and growth strategies.
Through customer segmentation and historic sales analysis, Steven uncovered valuable demographic insights that helped a multinational beverage and brewing company gain a deeper understanding of their market and boost product sales.
Tasked with assisting a struggling school district in Texas improve students' pass rates on state-mandated assessments, Steven leveraged predictive modeling to identify students for support programs.
Learn how Steven successfully assisted a top-tier financial institution in streamlining their recruitment process by creating predictive models using machine learning, which identified the defining traits of successful investment bankers
Assigned the task of reducing organizational waste by 7% at a global confectionery, beverage, and snack food company, Steven turned to descriptive analytics and business intelligence.
Learn how Steven empowered a financial institution to rethink its portfolio risk assessment by building and deploying machine learning models, enabling data-driven decision-making and mitigating potential risks.
Discover how Steven generates industry-leading interactive reports, featuring prediction, optimization, and simulation models, to provide clients with insights into their operations.