Design real-time dynamic pricing widgets, recommender engines, and secure e-commerce payment checkouts.
Modern retail spans physical storefronts and virtual digital markets. Predictive analytics and personalization drive consumer acquisition, while secure stock chains and checkout flows guarantee platform fidelity.
Autonomous retail assistants that scan customer profiles, clarify fit styles, query inventory APIs, and generate customized outfits.
Dynamic pricing algorithms optimizing margins based on competitive price scrapers, weather, and inventory levels.
Tableau storefront heatmaps showing checkout drop-offs, inventory turnover, and coupon redemption ratios.
LTV cohort analysis, search catalog optimization models, and return-rate anomaly detectors.
E-commerce bot protection segment blockers, card skimmer detection triggers, and OAuth payment wrappers.
Kubernetes-based e-commerce platform deployment with automated auto-scaling rules triggered by live cart volumes and CDN delivery for product catalog images.
Practice with 12 structured tasks categorized by difficulty.
Build a search page using regular expressions to filter items by price, category, and review score.
Design a SQL report compiling weekly gross profits, average transaction sizes, and discount impacts.
Develop an address and card formatting validator in JavaScript to prevent raw SQL input attacks.
Create a simple rule chatbot prompting dormant users with tailored discount coupon codes.
Create a Dockerfile to containerize a static HTML/JS e-commerce storefront for deployment to AWS ECS.
Core Skills
Core Skills
Core Skills
