Olivier van Overstraeten

💼 Professional experience

Agilytic

• Pharma: Modeling and optimisation of supply chain processes, to reduce the delivery time by a month, leading to significant gains
• Debt recovery: Development of a tool to automatically score the probability to recover at every step of the process
• Real Estate: Development of a tool to help the client explore new opportunities, from scraping and consolidating internal and external data sources. Using AI to monitor building’s energy consumption. Provides a real-time consumption deviation alerting system and an in-depth consumption analysis report
• Media: Building a model to better predict the attribution of campaigns based on historical data
• Customer Service: Building a chat bot that automatically handle customer complains using a mix of LLM and classical chatbot technologies.
• Public service: Uncover and summarize the IT strategy of hundreds of public institutions by using web scraping and LLM for content classification.
• Retail: Using AI to model the drivers of churn of a retailer insurance product. Results in a reduced attrition and a reviewed customer lifecycle management approach.
• Stock optimization: Helping a parapharmacy distribution center review its stock management approach. We use AI to better anticipate the effects of seasonality and promotions.
• Pricing optimization: Developing a price monitoring tool for a self-storage company. The data were collected on competitors web site and made available through a centralized app.

Haystack consulting

• Lead the Data Science team. Responsibilities: Customer segmentation, predictive modelling, dashboarding, advanced analytics and data processing.
• Develop a web-based Data Platform that automates the creation of clients and internal dashboards / reports.

McKinsey & Company

• Product Owner of a Big Data platform that leverages professional social media information to improve HR processes (CV screening, competition benchmarking, hiring strategy).
• Develop machine learning algorithms in the Human Resources domain and advise client on their Big Data strategy and roadmap.

Delhaize Belgium

• Lead the customer analytics team. Responsibilities: Customer buying behaviour analysis, segmentation, Targeted/1to1 marketing, strategic reporting/analysis.
• Customer 360 database owner: Owner of the customer big data strategy and implementation.
• Development of new analytical models:
• Marketing: recommendation engine (next best offer), promotion sensitivity (uplift modelling), price elasticity, customer lifecycle management (loyalty segmentation, loyalisation modelling).
• Procurement: assortment optimization tool.
• Finance: sales forecasting methodology.

Vadis Consulting

• Lead projects involving from 2 to 6 consultants/developers.
• Predictive modelling projects: customer value estimation, lead generation model, churn and up-selling models, marketing campaign optimization, risk models and fraud detection.

🦾 Certifications, trainings

Methodologies

• Machine learning/statistics: regression, classification, clustering, time series forecasting, NLP, deep learning (Tensorflow, PyTorch).
• Datawharehousing
• Agile

Software & programming

• Certified AWS cloud practitioner 2022
• Data programming: R, Python, SAS, SQL, VBA
• Data visualization, reporting: Tableau, Power BI, Microstrategy, Shiny
• Database: SQL Server, DB2, Elasticsearch, Snowflake, AWS-Athena, Redshift, Google-BigQuery

🎓 Academic credentials

• Master in Statistics UCLouvain, 2008
• Master in Sociology UCLouvain, 2007 Magna cum laude

🇺🇳 Languages