Felix van Doorn

Software Engineer

Amsterdam, North Holland, Netherlands12 yrs experience

Highly Stable

Key Highlights

Reduced production incidents by 78% at Uber.
Saved $21M annually through ML pipelines.
Created impactful data solutions at Netflix.

Stackforce AI infers this person is a Data Scientist with expertise in Machine Learning and Data Analysis in the Transportation and Media industries.

Contact

Skills

Core Skills

Data ScienceMachine LearningData AnalysisBusiness StrategyTeachingApplication Development

Other Skills

Data VisualizationPythonSQLData ModelingData Quality AssuranceAnalyticsETLDashboardingQuantitative ModelingMentoringC#JavaHTML5MathematicsComputer Vision

About

I build data pipelines, dashboards, web apps, and ML prototypes at Netflix to support the creation of promotional media, helping creative teams decide what’s worth building and turning ideas into production-ready solutions. I thrive at the intersection of research, product, and engineering, exploring new approaches while delivering tangible impact. Before Netflix, I worked at Uber on both the Earnings team, applying causal inference and production ML to improve driver and courier retention, and the Payments team, using analytics to design scalable solutions for millions of customers. That experience gave me a foundation for building robust, high-impact ML systems. I’m driven by curiosity and learning, using technology as a tool to explore, create, and connect ideas across disciplines — from technical systems and algorithms to creative workflows and scientific problems — turning them into solutions that have real-world impact.

Experience

12 yrs

Total Experience

2 yrs 10 mos

Average Tenure

1 yr 11 mos

Current Experience

Netflix

Senior Analytics Engineer

Jun 2024 – Present · 1 yr 11 mos · Amsterdam, North Holland, Netherlands · On-site

Created internal tooling and labeling pipeline for automatic analysis of marketing artwork and videos. Prototyped various
ML algorithms using this data, covering research into cost-savings, asset performance analysis on social media channels
as well as creating improved training data for AI-aided creation of social media content on Netflix owned accounts.
Led data modeling efforts for a suite of internal tools used for planning, ordering and producing marketing materials. Now leading efforts to audit the quality of data produced by these applications and it's users in order to power more automation and better tooling capabilities

Data ScienceMachine LearningData VisualizationPythonSQL

Uber

2 roles

Data Scientist II

Promoted

Sep 2021 – Jun 2024 · 2 yrs 9 mos

Reduced the number of production incidents of our Driver Churn model by 78% by migrating it to Uber's next generation ML platform and refactoring feature pipelines from Hive to SparkSQL.
Saved $21M annually by productionizing two XGBoost-based pipelines that forecasted weekly earnings for subgroups of earners on the Uber platform. The outputs of these models were used to identify potential double payments of regulatory benefits (Prop22) and activity-based bonuses for drivers.
Drove $41M in cost savings by building data pipelines and automated reporting for commission rate data and identified multiple bugs that led to overspending.

Machine LearningData AnalysisSQLAnalytics

Product Analyst I

Jan 2019 – Sep 2021 · 2 yrs 8 mos

Currently working on improving Checkout Experience for earners & spenders across the Uber platform.
Responsibilities include:
Exploratory Data Analysis, Experimentation, Creation & Maintenance of ETL Pipelines and Dashboarding/Reporting
Strong Customer Authentication (PSD2)
On-demand Payments
Cash Payment Experience (Spender & Earner side)

Data AnalysisETLDashboarding

Eikenzande b.v.

Analyst

Aug 2017 – Dec 2018 · 1 yr 4 mos · Wassenaar

Supporting business development, strategy and business model redeﬁnition projects through quantitative modelling and delivery of IT-related domain expertise. (Part-time)

Quantitative ModelingBusiness Strategy

Sns bank n.v.

Stagiar/Intern IT & Change

May 2016 – Jul 2016 · 2 mos · Den Bosch

Prototyped custom machine learning solution, implemented in Python, for prediction of customer bank balances and time series analysis.

Machine LearningPython

Tu delft

Teaching Assistant

Sep 2014 – Aug 2018 · 3 yrs 11 mos · Delft

As a BSc student I tutored BSc Computer Science & Engineering students in Calculus, Linear Algebra & Probability Statistics and providing guidance to first year students throught the faculty's mentorship programme.
During my MSc, I assisted the following courses: Multimedia Analysis (BSc level), Network Security and Pattern Recognition (Both MSc level).

TeachingMentoring