Omschrijving

I design and build end-to-end analytics and AI systems that turn raw data into decisions — fast.

With a foundation in marketing strategy, machine learning, and AI engineering, I help teams define the right KPIs, unify their data sources, and put AI to work on the problems that actually move the needle.

What I build:

AI-powered decision systems — CEO dashboards with embedded AI analysts that answer business questions in plain English, no SQL required. Connect Shopify, Google Ads, Meta, Klaviyo and get a live view of your business in 2 weeks.

AI automation pipelines — end-to-end workflows that ingest, transform, and act on data automatically. From Salesforce → BigQuery pipelines to LLM-powered report generation and anomaly alerting.

Predictive analytics and ML models — media mix modeling, LTV forecasting, conversion funnel analysis, and NLP systems built with Python, XGBoost, scikit-learn, TensorFlow, and NLTK.

Scalable data infrastructure — cloud-native architectures on AWS (Lambda, EC2, S3) and GCP (BigQuery, Cloud Run), orchestrated with Airflow, Docker, and custom automation layers.

The difference: I don't just deliver models or dashboards — I build systems that non-technical stakeholders actually use, with AI interfaces that make the insight accessible to anyone in the organization.

My goal is measurable impact. Not complexity for its own sake.

Branche-expertise

Talen

Frans
Tweetalig / moedertaal
Engels
Tweetalig / moedertaal

Voorkeuren voor werkplek

Kan op locatie werken

Amsterdam (tot 50km), The Hague (tot 10km), Rotterdam (tot 10km)

Freelance
Freelance Senior Data Scientist & Data Engineer
september 2022 - Vandaag (3 jaren en 9 maanden)
The Hague, Nederland
Data Engineering Projects (Several US-based clients)
Built a full-stack AI CEO Intelligence Dashboard for a Shopify brand that combines a live executive dashboard with an AI analyst agent. The dashboard queries a BigQuery data warehouse in real time across revenue, marketing ROAS, customer cohorts, and product margins; the agent lets a CEO ask questions in plain English and returns SQL-backed answers via the Anthropic API
Architected and built end-to-end analytics platforms integrating CRM, product, marketing, and transactional data using Airflow, DBT, Airbyte, Fivetran, BigQuery, and Redshift across multiple client engagements.
Designed scalable data models and automated warehouse provisioning, delivering clean star schemas and aggregated layers powering Tableau dashboards, customer insights, and recommendation systems.
Led data audits and cross-system reconciliation across Salesforce (system of record), Heap, HubSpot, and custom booking platforms, ensuring data quality and trust in downstream analytics.
Data Science Projects (Several US-based clients)
Built a churn prediction and intervention system using XGBoost (AUC ~0.73), combining ad-hoc behavioral analysis–driven feature engineering with SHAP-based feature selection to surface key churn drivers; insights powered targeted onboarding, re-engagement campaigns, and pricing nudges, driving a ~15% churn reduction in pilot cohorts.
Designed a data-driven CRM segmentation and personalization strategy for a subscription food company by blending ML-identified churn predictors with business thresholds; delivered automated reactivation targeting and product recommendations, resulting in a 25% uplift in lapsed-customer reactivation.
Developed a dynamic confidence-thresholding system for an image-based food classification pipeline, enabling real-time self-calibration while maintaining >95% accuracy; increased auto-classification rates from 18% to 40%, significantly reducing manual review costs.
DBT Data science Airflow Data analysis Data Engineer
HelloFresh
Associate Director, Data Science
RESTAURANTS
december 2019 - Vandaag (6 jaren en 6 maanden)
New York, Verenigde Staten
Built Online Decision Tool Using Streamlit: built a marketing channel performance comparison tool (based on ROI) to help drive marketing spend across key channels.

Built Brand Propensity Model for Customer Targeting: built an XGBoost classifier using demographics data (Experian) to predict highest propensity between 2 brands. Used the model to target households with direct mail.

Designed Measurement for A/B tests: selected test / control geos using a KNN algorithm for a Facebook lift test. Built counterfactuals using regressions in the holdout to measure incremental lift

Built Causal Models to investigate business trends (unprecedented growth peak, CAC Increases) using Linear Regressions and Double Machine Learning.

Building Pipelines / ETL’s: automated the data flow from Machine Learning Models into interactive google sheets and S3 buckets using python and SQL on Databricks.

Leadership: Led team of 4 data scientists dedicated to supporting the Growth Marketing Team / Built strategic roadmaps & OKR’s / Led Stakeholder Relationships / Prioritization / Led team on Machine Learning and Forecasting Projects
Machine Learning Python Forecasting A/B Test SQL
E-Commerce Client
Data Science Consultant
E-COMMERCE
maart 2022 - juni 2022 (3 maanden)
New York, Verenigde Staten
Built Predictive Machine Learning Models to Improve Conversion Rates

- Defined the vision for the project, with projected steps, datasets needed and hypotheses

- Exploratory Data Analysis: provided early insights on main conversion rate drivers and potential actionable levers

- Predictive Models: built XGBoost model to predict conversion rate (CVR) impact from price changes. Delivered recommendation about the best approach to increase CVR by prioritizing high-impact products with high price elasticity
Python Machine Learning Data Visualisation Project Management