Customer Analytics (industries: fashion luxury, wine and spirits) ------------

• Designed VIP Propensity Scoring and Customer Segmentation models by engineering behavioral features and developing predictive and classification ML models (Logistic Regression, XGBoost, Random Forest, k-means)

• Delivered actionable insights on customers, shops, and products to drive client strategy and decision-making

Software Development (for Customer Analytics) ------------

• Built and maintained an internal Python/PySpark platform for EDA, feature engineering, and ML deployment

• Implemented data quality checks and a centralized configuration module ensuring reproducibility

• Applied Git best practices, led code reviews, and supported agile PMO (Jira) and CI/CD practices

Green IT (Cloud Sustainability & Cost Optimization) ------------

• Developed a rule-based flagging system in Databricks (Python, PySpark) to detect inefficient compute/usage from Azure logs

• Integrated alerts into Power BI dashboards and automated email notifications via Databricks Jobs and Power Automate

• Improved cloud efficiency and sustainability, reducing costs and environmental impact

Marketing Mix Optimization (Fragrance Luxury, Retail) ------------

• Engineered scalable data pipelines integrating 50+ sources for comprehensive media mix analysis

• Built OLS and Bayesian regression models to quantify media impact and maximize ROI through scenario optimization

• Built a model to predict and analyse PerfectDraft repeat purchase behaviour

• Led agile project management & product owner missions on 3 accounts, leveraging technologies to drive maximum business value through a data-centred approach

• Joined digital marketing department (affiliates) providing ad-hoc support, produced 5 reports/week

• Created performance report based on e-Commerce KPIs and data analysis

• Outlined potential e-commerce implementations and determined e-Commerce top 10 best practices

• Built a Salesforce Einstein (AI tool for CRM) 30 pages playbook