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.
Retail and Consumer Goods / AI for Internal Optimization and Consumer Engagement
Major Retailer (2025) – AI Categorization for a Retailer’s Legal Office
Automatically retrieves new laws and regulations (e.g., Eurolex, Official Gazette) and categorizes them based on relevance to the retail industry, significantly reducing manual analysis efforts.
Technologies: Vertex AI, Gemini
Results: 60% reduction in legal analysis time.
Major Retailer (2024) – Demand Forecasting for Retailer Promotional Campaigns
Predicts optimal stock levels during marketing campaigns to reduce waste and maximize sales, improving supply chain efficiency.
Technologies: Google BigQuery ML (BQML), Vertex AI
Results: Increased stock forecasting accuracy by 20%, reduced overstocking costs.
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.
Technologies: Google Cloud (Gemini)
Luxury and Fashion / AI for Global Campaigns and Product Development
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.
Technologies: Vertex AI, Generative AI
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, AI was used for cataloging 20 years’ worth of design sketches, improving organization and accessibility.
Technologies: Vertex AI, AutoML
Manufacturing and Industrial Applications / AI for Quality Control and Sales Optimization
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.
Technologies: Generative AI, Data Science Models
Industrial Manufacturer (2024) – Visual Inspection on an Assembly Line
Developed an AI-based visual inspection system to identify faulty cable connections or missing components at the end of the production line, improving product quality and reducing defects.
Technologies: YOLO, Vertex AI
Results: 30% reduction in assembly errors, improved final product quality.
Healthcare and Sports Analytics / AI for Risk Mitigation and Compliance
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.
Technologies: Vertex AI, Cloud Vision, Object detection, Cloud Run, Streamlit, Python
Sports Club (2024) – Injury Prevention App for Professional Football Players
Designed a predictive model using Google Cloud and Vertex AI to forecast injury risks for athletes (soccer player) based on biomedical data. This model enhanced the club’s ability to monitor player health and prevent injuries before they occurred.
Technologies: Vertex AI, AutoML, Looker (external team)
Results: 25% reduction in preventable injuries.
Sports Event Organizer (2024) – AI for Brand Recognition in Sports Events
Developed an AI model to categorize and recognize running shoe brands worn by athletes during sports events, allowing better tracking of brand exposure for sponsorship analytics.
Technologies: YOLO, Gemini
Results: Automated identification with 95% accuracy, increased value for sponsors.
Media and Entertainment / AI for Talent Matching and Content Moderation
Media Platform (2024) – AI for Talent Matching and Content Moderation
Built a platform that matches clients with actors and entertainment professionals through an online showcase. Additionally, implemented machine learning models to enhance content moderation, ensuring a safer and more efficient user experience.
Technologies: Machine Learning, AI Content Moderation
Customer Support and Travel / AI for Chatbot Automation and Virtual Assistance
Various Clients (2024) – AI-powered Chatbots and Advanced Search Solutions
Developed AI-powered chatbots and search engines for various applications, including:
• Customer Support: Intelligent chatbots for 24/7 automated assistance.
• New Employee Support: AI-driven FAQ management and onboarding.
• Travel Planning: Advanced virtual assistants for personalized travel experiences.
Technologies: Vertex AI, Conversational Agents
Results: 40% reduction in response times, increased user satisfaction.
Pre 2024 Projects
Falck Renewables (Pre-2024) – 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.
Technologies: AWS, Predictive Maintenance AI
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.
Technologies: Machine Learning, Data Pipelines
Postal Services Company (Pre-2024) – Hierarchical Cash Flow Forecasting
Developed a predictive model for hierarchical cash flow forecasting, improving financial planning and resource allocation processes.
Technologies: Predictive Analytics, Data Science Models