Latest Projects
Senior Data Scientist & ML Engineer working on Databricks & AWS cloud environment
Global Scale Product Recommendations
I've employed machine and deep learning to power product recommendation systems, which analyze user behavior to deliver personalized suggestions, boosting engagement and sales.
In detail :
Catering to E-Commerce in the USA & Europe
Supporting Sales Assistants in the USA
Supporting In-Store Purchases (work in progress)
Achieving statistically significant improvements in Conversion Rate (CR) and Units Per Transaction (UPT), while maintaining a strong model explanatory power, flexibility, and adaptability to new domains.
Data Platform Extension
Empowering the platform to accommodate more than 30 data scientists.
Implementing automated ingestion flows and quality checks.
Introducing push notifications.
Optimizing and monitoring access to clusters and resources.
Implementing cost monitoring.
Data Science Technical PM & Senior Developer
working on Google Cloud Platform. Retail and Manufacturing
Data Science Lead
Implementing machine learning models for demand forecasting using Google Cloud AI Platform.
Utilizing BigQuery for analyzing large-scale retail datasets.
Developing recommendation systems using Google Cloud's TensorFlow and Cloud ML Engine (VertexAI).
Leveraging Google Cloud's Data Studio for visualizing retail performance metrics.
Luxury Industry / Global Campaigns and AI-powered Customization
International Luxury Company (2024)
Generative AI & Translations for Global Marketing Campaigns
Utilized Google Cloud’s Vertex AI for generative AI models to support global marketing efforts. This included AI-powered translations, enabling seamless multilingual campaigns across different regions.
Luxury Jewelry Brand (2024)
AI for Jewelry Design and Cataloging
Leveraged generative AI to assist in modifying existing jewelry designs and generating new sketches. Additionally, employed AI for cataloging 20 years’ worth of design sketches, improving organization and accessibility.
Retail and Consumer Goods / AI for Internal Optimization and Consumer Engagement
Major Retailer (2024)
Generative AI for Internal Workflows and Consumer Engagement
Launched five AI streams on Google Cloud (Gemini) to enhance internal operations, including legal team workflows and consumer engagement. Generative AI was also utilized to assist in inventory management and customer service improvements.
Healthcare / AI for Video Analysis and Biomedical Data
Healthcare Tech Company (2024)
AI for Spillage Detection in Lab Samples
Developed a system using Google Cloud’s Vertex AI to detect spillage in test tube samples within video footage, improving safety and operational efficiency in laboratory environments.
Sports Club (2024)
Injury Risk Prediction from Biomedical Data
Built a predictive model using Google Cloud and Vertex AI to forecast injury risks for athletes based on biomedical data. This model enhanced the club’s ability to monitor player health and prevent injuries before they occurred.
Manufacturing and Industrial Applications / AI for Commercial Operations
Industrial Manufacturer (2024)
AI for Commercial Offer Ranking and Generation
Implemented data science and generative AI models to rank and generate commercial offers, streamlining the company’s sales and offer management processes.
Renewable Energy / Predictive Maintenance
Falck Renewables (2023)
Predictive Maintenance for Wind Turbines
Developed a machine learning system on AWS to predict maintenance needs for a wind farm consisting of 50 wind turbines. The project improved operational efficiency and reduced downtime by predicting potential failures before they occurred.
Media and Entertainment / AI for Talent Matching and Content Moderation
Media Platform (2024)
Talent Matching and Content Moderation
Developed a platform matching clients with actors and entertainment professionals through an online showcase. Created machine learning models to enhance content moderation, ensuring a safer and more efficient user experience.
7. Other Key Projects (Pre-2024)
Automotive Company (Pre-2024)
ML Engineering for Data Science Team
Designed machine learning pipelines to support a team of 30 data scientists, improving their ability to deploy models and manage data workflows efficiently.
Postal Services Company (Pre-2024)
Hierarchical Cash Flow Forecasting
Developed a predictive model for hierarchical cash flow forecasting, improving the financial planning and resource allocation process.