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A typical week in my work as a Data Scientist looks like:
• checking data quality issues before they break forecasts
• debugging feature pipelines in PySpark
• retraining models and tracking experiments in MLflow
• explaining results to non-technical stakeholders
• simplifying models so teams can maintain them
Most of the value doesn’t come from fancy algorithms
it comes from making ML reliable.
If your team needs someone who can operate between data, product, and engineering:
👉 I’m available for freelance, or part-time collaborations.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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AI E-Commerce Personalization Engine
A multi-brand online retail store wanted to replace generic homepage banners and static "related items" grids with an intelligent, real-time AI recommendation engine to boost cart value, conversions, and customer retention.
Key Challenges:
Cold-start problem for newly launched products with zero sales history.
Generating sub-50ms dynamic product feeds during peak flash-sale traffic spikes.
Tracking complex visitor browse events without slowing down frontend page loads.
Technical Implementation & Solution:
• Real-time Tracking: Built an asynchronous event-streaming pipeline using Kafka and FastAPI to record clickstreams, cart additions, and dwell time.
• Hybrid Recommendation Logic: Combined collaborative filtering with multi-modal vector embeddings (CLIP) to analyze both user purchase patterns and product visual styles.
• Dynamic Visual Search: Implemented image-similarity search via Qdrant, allowing shoppers to upload photos and immediately discover matching catalog apparel.
• Headless API & Shopify Integration: Exposed lightweight REST & GraphQL endpoints that integrate seamlessly with Shopify Liquid and Next.js frontends.
Results & Impact:
• Increased average order value (AOV) by 22% within 45 days.
• Lifted product click-through rates (CTR) on personalized widgets by 34%.
• Handled 10,000+ concurrent requests with sub-40ms response latency.
I’m building my freelance career as a Virtual Assistant, focusing on data entry, web research, and helping small businesses with administrative tasks.