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.
Explore 10 dedicated research-backed capstone systems for every domain (AI, Data, Security, Cloud) modeled after production corporate environments and SOTA literature.
Build a visual search and outfit recommendation engine combining CLIP multimodal embeddings with graph neural networks to curate fashion style sets.
Develop a hybrid search engine combining BM25 keyword matching with Dense Vector Search (BGE embeddings) for nuanced product discovery.
Build an AI agent that monitors abandoned online shopping carts, answers customer product hesitancy questions, and issues personalized single-use coupons.
Develop a mobile visual search app allowing shoppers to snap a photo of any item in the physical world and instantly find matching products in catalog.
Build a virtual try-on processing pipeline using Diffusion Models (TryOnDiffusion) to realistically overlay apparel onto user photos.
Build an AI copywriter agent that inspects product spec sheets and images to generate SEO-optimized product titles, descriptions, and bullet points.
Deploy a real-time computer vision pipeline using YOLOv8 and DeepSORT to analyze store foot traffic, customer heatmaps, and dwell times.
Build an intent classification and dialogue agent that handles post-order inquiries (order tracking, cancellations, address updates) automatically.
Train a multimodal classification engine detecting fake incentivized customer reviews and manipulated product photos on e-commerce marketplaces.
Build a generative AI marketing agent that automatically generates personalized promotional email copy and customized product banner images.
Architect a real-time event streaming pipeline predicting customer churn probability during live shopping browsing and routing targeted retention incentives.
Build a multi-location hierarchical inventory forecasting system using Temporal Fusion Transformers to prevent stockouts during peak holiday sales.
Build a Bayesian BG/NBD and Gamma-Gamma model predicting long-term customer purchasing frequency and total monetary value over a 3-year horizon.
Architect an automated competitor price scraping bot and dynamic pricing engine that adjusts SKU prices based on real-time market elasticity.
Implement the FP-Growth association rule mining algorithm on 10,000,000 retail transaction logs to discover product affinity bundles.
Develop a Machine Learning regression model predicting overseas supplier shipment lead times and port transit delays for retail purchasing teams.
Build an hourly store foot-traffic forecasting model combining sensor count logs and weather data to optimize retail store staff scheduling.
Architect a BigQuery data warehouse analyzing millions of user search queries, click positions, and conversion rates to identify low-performing search terms.
Build a Markov Chain multi-touch attribution model comparing online digital ad touchpoints and physical store visits to evaluate marketing ROI.
Build a survival analysis model (Random Survival Forests) evaluating monthly subscription box retention to identify churn drivers after box #3.
Deploy an endpoint memory protection agent monitoring retail POS terminal memory space for RAM-scraping malware targeting un-encrypted credit cards.
Build an Account Takeover (ATO) detection engine analyzing user login device fingerprints, IP proxy velocity, and password reset spikes.
Build a Client-Side JavaScript Security Shield monitoring e-commerce checkout pages for malicious third-party script DOM tampering (Magecart attacks).
Build a fraud detection engine analyzing loyalty point redemption velocity and gift card claim patterns to flag fraudulent redemptions.
Develop a computer vision and optical character recognition (OCR) tool verifying physical return receipt authenticity and tracking serial number returns.
Deploy a mobile cryptographic product verification app allowing warehouse staff to scan 2D secure QR codes and verify product origin authenticity.
Build an IoT security system correlating RFID shelf tag reads with self-checkout scanner events to detect un-scanned items leaving store exits.
Build an automated AWS cloud security scanner monitoring customer uploaded photo buckets (custom t-shirts, mug prints) for public access permissions.
Build an analytics tool evaluating employee discount code usage frequency, transaction times, and cross-referencing employee family names.
Deploy an ModSecurity Web Application Firewall (WAF) with OWASP Core Rule Set (CRS) protecting e-commerce sites against SQL injection and cross-site scripting.
Architect a multi-AZ AWS EKS Kubernetes cluster running e-commerce microservices (Cart, Checkout, Catalog) with Istio Service Mesh and ArgoCD.
Build an ultra-scalable serverless flash-sale architecture on AWS using API Gateway, SQS, Lambda, and DynamoDB processing 20,000 orders/sec.
Architect an event-driven inventory synchronization system using Amazon EventBridge and DynamoDB Global Tables updating online and in-store stock levels.
Deploy an AWS CloudFront CDN architecture with Lambda@Edge that automatically converts product images to compressed WebP formats based on browser capabilities.
Architect a retail data lakehouse on GCP using Google Cloud Storage, Dataproc (Apache Spark), and BigQuery to process 5 years of receipt data.
Deploy an AWS IoT Greengrass architecture on industrial gateway devices inside distribution centers to process RFID and temperature telemetry locally.
Build an automated multi-region disaster recovery pipeline using Terraform, AWS Route 53, and DynamoDB Global Tables to recover e-commerce stores in <5 minutes.
Build an automated cloud cost optimization tool on AWS using AWS CUR, Lambda, and Slack alerts to eliminate idle staging environments on weekends.
Deploy a containerized microservice API on AWS ECS Fargate backed by ElastiCache Redis delivering personalized product recommendations in <15ms.
Build a scalable media asset management pipeline on AWS S3 with Lifecycle Policies transitioning old seasonal product images to S3 Glacier.
Core Skills
Core Skills
Core Skills
