Data Science Consultancy

I'm passionate about solving complex problems with simple solutions; I enjoy researching, designing, and building tools to tackle relevant societal and personal problems.

I build machine learning-powered web applications for healthcare, marketing, and insurance purposes.

Are you looking for a flexible boost to your data team?

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Contact information

📧 [email protected]

🔗 LinkedIn

Hugo & Kees

Projects (click image to view my work)

👩🏻‍💻 Work experience

Co-Founder & CTO

Biolytics AI **(in stealth-mode), Amsterdam – (Nov. 2021 - now)

Biolytics AI brings data science to life by developing models, data engineering, and strategy frameworks to help biotech, pharma, and healthcare-software companies to optimize patient treatments.

• Led the development of a scalable cloud data platform for a biotech scale-up (Lumicks) to support their R&D efforts by enabling researchers to easily upload and annotate terabytes of experimental data and allowing data scientists to easily query, analyze, and share insights.
• Development of privacy-preserving explainable AI for an EHR company (GeriMedica) to predict the care necessary for elderly patients. Included implementation of a statistical framework to counter the risk of privacy violations ensuring compliance with AVG regulations.
• Mentored an MSc Econometrics student in writing a thesis about privacy preservation in healthcare AI, yielding the student an 8/10 overall.
• Developed a statistical modelling and analysis framework for measurements of immunotherapy efficacy for a biotech scale-up’s (Lumicks) z-Movi instrument R&D.
• Advised on and developed a statistical framework for a collaboration between a hospital (Santeon) and a pharmaceutical company (Roche) to measure the confidence in the gap in the efficacy of immunotherapy between clinical trials and real-world patient data.

Co-Founder & Data-Scientist/Engineer

BAKEN.AI, Amsterdam – (Mar. 2020 - now)

At BAKEN.AI we unlock your data, and leave the keys with you. I'm responsible for developing our technological stack to best fit our client's needs.

• Developed a data platform to integrate and synchronize HR, finance, and smart-lock software systems for a large daycare company (NatuurFontein), saving the company 1 FTE in tedious administrative work.
• Advised the NBA (Nederlandse Beroepsorganisatie van Accountants) on strategies for technical auditing of valuations made by AI systems.
• Development of the Baken.AI Platform, a platform that collects economic data, transforms this into dashboards, and distributes these in a secure cloud environment to insurance companies.

Data Scientist/Analyst

**Baken Adviesgroep,** Amsterdam (Jul. 2019 - Jul. 2021)

Baken Adviesgroep is a Data Science consultancy firm employing macro analytic-trend analysis to gain market insight for insurance companies. I worked on:

• Research and analysis of the demographic profile of consumers, to increase household penetration of a life insurance company's (VIVAT) wealth accumulation products by 20% over a three-year period.
• Development of Baken Adviesgroep’s cloud data platform which automates data collection for reports on the insurance market, providing technical expertise to ensure all data is collected in a timely and accurate manner.
• Implemented an economic data aggregation and visualization API for an insurance company’s internal dashboard to provide sales representatives in different branches with real-time market insights.
• Development of a calculation tool API to determine sick leave pay for an insurance company (De Goudse).

Data Scientist Intern Health Outcomes Lab

Roche, Woerden – (Mar. 2020 - Sep. 2020)

I developed a machine learning methodology to analyze a real-world EHR dataset of 60.000 patients with non-small cell lung cancer to predict their survival outcomes, and implemented explainable AI to gain insight into which pharmaceutical properties are desirable and for which patients the drugs will be effective.

Founder & Machine Learning Engineer

NOMNOMNOM, Amsterdam – (Mar. 2019 - Jan. 2021)

NOMNOMNOM.AI is a web app that transforms the way people discover new restaurants. Leveraging an interactive session-based recommendation engine, the platform enables users to find the perfect restaurant for any occasion. I build web scrapers, designed UI/UX, developed the recommendation engine, and pitched it to potential investors.

📜 Articles and Talks

• Explainable AI in Healthcare

📚 Education

Masters Degree in Econometrics

2019-2020

Universiteit van Amsterdam, FEB

Bachelor's Degree in Chemistry

2015-2021

Universiteit van Amsterdam, FNWI

Bachelor's Degree in Econometrics

2011-2017

Universiteit van Amsterdam, FEB

Chilean Exchange program (Chemistry)

2014-2015 **

Pontificia Universidad Católica de Chile, facultad de química

• Extracurricular activities

🛠 Skills

💻 Technology

Python, 3.5 years of experience

• Building robust web APIs with Flask, Pydantic, and SQLAlchemy
• Scalable data science pipelines with Pandas, Dask and Kedro
• Explaining AI and dashboarding with Plotly, Shap, and Dash
• Machine learning with Sklearn, XGboost, Pytorch, and Optuna
• Monitoring and experiment tracking with MLflow
• Data versioning with DVC
• Automated web scraping & data collecting using selenium, beautifulsoup, and cloud schedulers
• Documentation and test driven development with pytest and MKdocs

CI/CD, 3 years

• Gitlab and github pipelines
• Docker, container based development for achieving production-development parity
• Testing; integration, regression, and function testing with pytest frameworks
• Deployment to Google cloud run and AWS.

Cloud development

• Google cloud
  • Cloud AI
  • Task queues & CRON jobs
  • Appengine & cloud run
  • cloud build
• AWS cloud
  • AWS elastic beanstalk
  • AWS Batch
  • ECR & EC2
  • S3 & PostGreSQL

Frontend development and design

• HTML & CSS
• Figma
• React

Databases

• SQL: PostgresSQL, SQLite
  • Advanced ORM and data modelling
• MongoDB

Other languages I have worked with:

• R
  • Health analytics at Roche
  • Masters course in network graph analytics
• Matlab
• Mathematica
• Bash

Project Management

• Development and maintenance of clear roadmaps to properly scope, plan, and execute development on (new) features.
• Efficient communication of project progress with stakeholders across different departments to ensure timely completion of deliverables and milestones.
• Integrating with client's Data Science, software and domain expert teams to enable a smooth transition of future development and maintenance of the project.

Project Management

• Development and maintenance of clear roadmaps to properly scope, plan, and execute development on new features.