Pura

Senior Data Engineer

Dutch Engineer

I can write blog posts, LinkedIn posts, demos, or share advice about your data or machine learning infrastructure.

Founder

EcZachly Inc

Instructor and Lead Teacher Assistant

Zwift

Build long-term roadmaps for machine learning platform and code best practices for the data science team
Orchestrated the implementation of DBT to build data lineage and shorten debugging time by 30%
Deployed XGBoost models to identify customers who will might or not subscribe in free trials. 
Lead a team to provide the best short-term and long-term solutions to reduce service downtime by 50%
Own e-commerce datasets to lower handle data quality, data contracts, and resolve pipelines downtime
Tools: AWS, Kafka, Python, Docker, Kubernetes, Scala, Spark, SQL, Airflow, Jenkins,  DBT

Senior Data and ML Platform Engineer

Clinical Trial Media

Documented technical specifications of workflows to be presented to stakeholders and executive team
Automated and optimized existing workflows using Prefect and dbt to adhere to best practices
Tools: DBT, Prefect, Azure, Azure Data Factory, Python, SQL, Tableau Server, Docker

Qumulo

Lead migration of on-premise pipelines to cloud capable of handling 210+ GB per day
Produce key metrics to counsel sales and engineering and drive product feature decisions
Integrate linters, tests, and CICD to improve Data Science code quality 
Tools: AWS, Redshift, S3, Postgresql, Pyspark, Fargate, Python, Gitlab CICD, SQL, MongoDB, Tableau

Data Scientist

Blueprint Technologies

Created 30,000 customers’ metric sheets that calculated employees behavior for 1.5 months before and 1.5 months after covid and presented to the c-executive suite of the F500 company 
Developed daily pipelines with >500 TB that build employee behavior metric sheets on request
Productionalize Decision Tree and Logistic Regression to prioritize likely buyers
Optimize SQL and PowerShell scripts to reduce running script from 3 days to 15 minutes.

Tools: Azure Databricks, Python, Plotly, PowerShell, C#, COSMOS, SQL

Data Engineer

Redapt Inc

Migrating Hadoop cluster on VMs to Google Cloud Platform's Dataproc cluster
Importing, cleaning, and visualizing data in Power BI dashboards
Building a storage infrastructure system to identify frequent patterns and errors 
Incorporating Machine Learning algorithms to recommend new items for over a million items and for several thousands of customers. 
Tools: Hadoop, Kafka, Airflow, Spark, Power BI, Azure Databricks, Azure ML Studio, Azure Blob Storage

Apex Learning

Build a python script to obtain Zendesk's data via its RESTful API for marketing reports
Redesigned monthly and yearly reports by incorporating Tableau Software to evaluate tutors’ performance 
Implement Salesforce.com to create an easily accessible school’s credit acceptance database for marketing campaigns 
Support middle and high school students’ through the Apex Learning Virtual School curriculum

Online Tutoring and Data Analysis

Projects

ILest: Ionic Liquid estimation Tool
Team project, Implemented LASSO, SVR, and MLP-Regressor on 10,000 data points to estimate the desired properties of ionic liquid binary mixtures for electric battery applications
Tools: scikit-learn, Pandas, RDKit, Matplotlib

Data-Driven Design of Perovskite
Team Project, Carried out LASSO, and supervised neural networks on a reduced data set to identify the optimal combination of elements in the hybrid organic perovskites (crystals)
Tools: scikit-learn, Pandas, RDKit, Matplotlib

Stack Overflow: Suggest a Tag for My Post Please 
Queried 150k posts and users details to determine tags needed based upon a posts' body or score.
Tools: PySpark, Neo4j, Plotly, Python, Cypher, SQL

How Much Will Your Videogame Sell For? 
Web scraping video game tweets and statistics from VGChartz to predict their unit sales using machine learning
Tools: BeautifulSoup, Matploblib, multiprocessing, requests, plotly

Twitter Scraping Tool
Web-scraped old tweets from the twitter page to eliminate the usage of the Twitter Official API and decrease the time needed by 60%. Tools: pyquery, requests, datetime

Senior Data & ML Platform Engineer | dutchengineer.substack.com | Host of Ask A Data Mentor Podcast

Built long-term roadmaps for data platform and machine learning platform
Experience in designing, analyzing, and visualizing large (>500 TB) datasets 
Build and manage multiple ETL infrastructures to identify text patterns and detect network and hardware anomalies
Prepare critical metrics to guide product decisions in people, healthcare, computer games, and chemical analytics
Multilingual (Dutch, English, Spanish)

Keywords: Airflow, AWS (Cloudwatch,  ECS, EKS, Fargate, Glue, Redshift, Kinesis, Databricks, Postgresql, S3), Azure (Azure Functions, Azure ML Studio, Databricks, PowerBI, SQL Server), BentoML, C++, Datadog, Docker, ElasticSearch, Flink, Kafka, Keras, Kubernetes, Hive, High Performance Computing, Github Actions, Gitlab CICD,  Pagerduty, PowerBI,  Prefect, Python (DBT, Numpy, Pydantic, Sklearn,Scipy), Pyspark, Neural Network, Natural Language Processing, MLFlow, MongoDB, Recommendations, Sagemaker, Scala, SparkML, SQL, Tableau, Terraform

Sarah Floris, MS

Eneco

- Providing sustainable energy to 2 million customers in the Netherlands
- Building and leading a team of Machine Learning (ML) and MLOps Engineers
- Leveraging data, ML and AI to drive innovation in the energy sector
- Implementing and maintaining ML applications across diverse product teams
- Providing technical guidance to the team
- Ensuring professional growth and development of the team
- Overseeing the recruitment and hiring process
- Clearly communicating complex technical concepts to non-technical audiences
- Working closely with cross-functional teams, including data scientists, data analysts, data engineers, DevOps engineers and business stakeholders

Team Lead Machine Learning Engineering

Marvelous MLOps

Serving you expertise MLOps content: blogs, videocasts, podcasts, meetups, mini-conferences and memes.

Creative Director

Nationale Postcode Loterij

- Leading and managing a team of MLOps Engineers and Data Scientists
- Designing, developing and maintaining machine learning infrastructure on AWS
- Implemented CI/CD, code reviewing, automated testing, unit testing, integration testing, code packaging, dependency management, containerization and automated deployment
- Designed and implemented standard operating procedures
- Providing technical leadership through code reviewing
- Providing soft skill leadership through mentoring and coaching
- Maintaining relationships with key stakeholders
- Improving team efficiency and effectiveness
- Addressing skill gaps, developing training plans and leading the hiring process
- Staying updated with industry developments
- Participating in cross-functional data projects and initiatives

Chapter Lead Data Science & MLOps

Acting data science & analytics manager while my manager is on maternity leave.

Analytics Manager (ad iterim)

- Managed a team of data scientists developing machine learning models to support marketing and business operations
- Built, refined, and executed a roadmap for new machine learning solutions and improvements on existing machine learning solutions
- Outlined and implemented team best-practices including library packaging, versioning, code reviewing, containerization, CI/CD and task-scheduling
- Triaged and shaped incoming requests and supervised team deliverables

Lead Data Scientist

- Hands-on development of machine learning models to support marketing and business operations
- Coaching of team members and non-technical stakeholders on process, methodology and technology used
- Driving continuous improvement within the data science and analytics teams

Senior Data Scientist

Cegeka

At Cegeka I work as a data scientist, business consultant and project lead. My responsibilities are leading development teams as well as business teams. In these roles I have successfully delivered advanced analytics projects as well as infrastructure projects. Additionally, I started a Continuous Improvement program for our consulting firm’s data & analytics team. In this program standards and frameworks were developed and implemented for the team.

Served clients with KPN ICT Consulting, the IT-Advisory division of KPN. As pioneers in the new world, we connect IT opportunities with the people, goals and drivers of organizations. As Business & IT Consultants we solve current problems for firms with a perspective on the future. This way we ensure that our clients stay relevant and fully explore their technological potential. Enhancement by technology is not merely a matter of bits and bytes; we also focus on change management to involve the people and efficiently empower them with IT. Our consultants make sure that the organizations are ready to face the future.

We help organizations with their digital transformations by providing them with competent consult, implementation and maintenance of new innovative tech.  We accompany our clients in all the steps in their digital journey. Our professionals are thought leaders; well-educated people with a broad skillset and an inquisitive growth mindset. We are involved with our clients and are confident that our solutions will dissolve their problems. We are pioneers in the new world.

Senior Data Scientist (for external clients with KPN ICT Consulting)

Operationalised a model that predicted in what stages optic fiber should be rolled out in the Netherlands.

Senior Data Scientist (internally for KPN)

Ymere

Worked as an external consultant from KPN ICT Consulting. Helped the Netherlands' largest housing corporations become data driven by implementing machine learning, cloud data lake storage and reporting solutions. Conducted day-to-day business for the advanced analytics & ML team as the team lead

Data Scientist (with KPN ICT Consulting)

Worked as an external consultant from KPN ICT Consulting. Delivered Smart Building and IoT streaming data solutions. Led the development team as a product manager, feature engineer and overall problem solver. Platform and sensortechnology was based on Python, Node.js, MongoDB, Kafka and Flink. PoC's were conducted in R.

Product Manager (with KPN ICT Consulting)

Macaw

Macaw is a full-service IT consultant which specializes in the field of business integration, social collaboration, cloud, marketing automation, business analytics and outsourcing. As a data scientist I worked on exploring, cleaning, analysing and visualising data. Using machine learning I delivered advanced analytical insights to our clients using structured and unstructured data. Next to that I worked on BI and ETL solutions.

BI Developer / Data Scientist

Self-Employed Contractor

Independent chairman for debates, Q&A's and workshops on economics, politics, sustainability, agriculture, food and cinema.

Debate Leader

Bureau YAP

Bureau YAP was a data science consultancy which specialized in agriculture and food. We helped companies in the agriculture and food sector understand their big data and develop data strategies which supported and strengthened their core business.

Freelance Data Science & Agri Innovation Consultant

All my views are personal and do not represent my clients.

I distinguish myself by possessing great leadership qualities. In projects, I am often the team lead and strive to create a structured, calm, and pleasant working environment for my team by implementing the right processes and fostering a great working culture.

As a highly motivated and experienced professional, I often take on the role of translator, facilitating communication between technical and non-technical stakeholders. With strong communication skills and empathy, I thrive at the intersection of these two worlds.

I have initiated and executed many disruptive projects and have learned that building a highly skilled and fun team is essential to be succesful. Throughout my 15-year career, I have demonstrated my passion for building and running effective teams.

I am committed to developing and nurturing young talent. I take pride in mentoring and guiding colleagues, believing that investing in the growth and development of others is not only rewarding, but essential for an organization’s continued success.

Over the years, I’ve worked an impressive array of clients, including Rabobank, Heineken, LELY, Albert Heijn, European Commission, Dutch Ministries of Infrastructure, Environment, Agriculture, Economic Affairs, Wageningen UR NZO, (Z)LTO, and Oxfam Novib.

Among my achievements are managing all data science solutions for a company boasting $2.4 billion in revenue, organising a Dutch agtech trade mission to Silicon Valley, and leading a project on sustainable crop cultivation for the largest Dutch supermarket.

My technical prowess spans a wide spectrum of tools and technologies, including Python, R, SQL, bash, GitLab, GitHub, Azure DevOps, CI/CD, PyCharm, Jupyter, RStudio, RServer, Sagemaker, Azure ML, Snowflake, MS SQL Server, SSIS, SSAS, PowerBI, and Tableau.

taplio

The Battle

Sarah Floris, MS

Raphaël Hoogvliets

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