Robin Opdam

Data Scientist at Metyis

Currently also working on:

  • Learning about and working on generative AI applications.
  • Architectural (cloud) Design


About me

I am a results-driven Data Scientist with a strong focus on delivering impactful solutions that bridge technical innovation with real-world business challenges. With expertise in ML Engineering, Data Engineering, Generative AI, and MLOps, I have successfully led machine learning models from ideation to production, consistently driving measurable outcomes.

My ability to translate complex technical concepts into actionable insights allows me to build strong relationships with stakeholders at all levels. I pride myself on fostering collaboration between technical and non-technical teams, ensuring that every project aligns with strategic goals and delivers tangible value.

Explore my portfolio to see how I combine technical excellence, communication, and a passion for impact across my projects, professional experiences, and educational journey.


Tech Stack/Experience:

  • Data Science: Python PySpark, SQL, NoSQL, R
  • Machine Learning: Scikit-learn, Spark, MLlib, Tensorflow, MLFlow
  • Data Engineering: Azure Data Factory, ELT/ETL pipelines, blob storage
  • Product Management: Azure Boards, Jira, Confluence, Azure Wiki
  • Experimentation Design: Hypothesis Testing (A/B frameworks)
  • DevOps (CI/CD): Azure, Gitlab, Github, DevOps, GCP
  • Database: BigQuery, MySQL, NoSQL (CosmosDB)
  • Visualisation: PowerBI, Looker Studio, Matplotlib, Plotly Dash, Shiny
  • App Deployment: Docker, GCP, Azure, Heroku (FastAPI, OAUTH)
  • IDE/Platforms: VSCode, Databricks, Jupyter, RStudio

Projects & Activities

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Start-ups and Pancakes

Ongoing

Start-ups and Pancakes

Founded and led a community connecting impactful entrepreneurs, 5 events and counting! With 25+ members, including 5 founders.

More sessions to come! Feel free to reach out if interested.

Ongoing

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Started contributing to Chainlit

Dec, 2023

Contributions to Chainlit

Chainlit is an open-source async Python framework that makes it incredibly fast to build Chat GPT like applications with your own business logic and data.

More contributions to come!

Dec, 2023

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Ergobot: Ergo-log based ergogenic chatbot

Aug, 2023

Ergobot, the ergogenic chatbot

Definition: "An ergogenic aid is any substance or phenomenon that enhances performance".

Ergo-log collects studies on ergogenic aids, the Ergobot is a smart chatbot interface based on ChatGPT and a vector database of scraped Ergo-log articles.

The people at Ergo-log enjoy sporadically using Ergobot!

Aug, 2023

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Deploy Containerized Plotly Dash App with CI/CD (P2: GCP)

Jan, 2023

A sequel to deploying a containerized Plotly Dash app (to GCP)

With Heroku moving to paid tiers I wanted to try Google Cloud Platform for deploying the same container. This is a sequel to deploy the same container from part 1 using a CI/CD pipeline to deploy a container to Google Cloud Run.

Jan, 2023

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Student placement tool for JSVU

Jan-Mar, 2022

Student placement tool for yearly 'bedrijvendag' of JSVU

Every year the Juridische Studenten Vereniging te Utrecht (JSVU) organizes a 'bedrijvendag' where students and companies get introduced to eachother based on student preferences and study year.

Created an online tool where the students, their preferences and the available companies and introduction rounds can be uploaded. The tool instantly produces a student matching that can be downloaded as an excel file.

Used OOP in Python, Docker, Github Actions, Dash, and Heroku to have the online tool always available and deploy any future changes through CI/CD

Jan-Mar, 2022

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Deploy Containerized Plotly Dash App with CI/CD (P1: Heroku)

June, 2021

A guide on deploying a containerized Plotly Dash app

Step-by-step guide on how to use Github Actions to build a CI/CD pipeline and deploy a containerized Plotly Dash app to Heroku.

June, 2021

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Focus

March, 2021

An article on how to tap into your focus and keep it

A brief summary of things I picked up on how to focus, hope it enables others to focus as well!

Article: Focus

March, 2021

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Master Thesis
  • Grade: 9/10
  • Nominated for Amsterdam Data Science Thesis Award

Feb-Aug, 2020

Master Thesis: Comparison of Deep Learning Product Recommendation Engines in Different Settings

This work sheds a different light on the differences between deep learning and classical recommendation algorithms by comparing them on both a Movie dataset and a Fashion dataset. Their performance is thoroughly compared based on their implementation and the resulting Recall@n and NDCG@n scores.

Feb-Aug, 2020

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Portfolio Website
  • You are here

Ongoing

Created this portfolio website using HTML, CSS and JavaScript

Launched in November 2020

Code Repository

Ongoing


Experience

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Lead Data Scientist

From Jul 2024

Metyis: Lead Data Scientist

Leading teams and architectural design for Analytical, ML and GenAI use cases with our clients and within Metyis.

From Jul 2024

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Analyst Data Scientist

Nov 2020-Jun 2022

Metyis: Analyst Data Scientist

Working with different clients, technologies and teams to bring impact.

Next to data science projects I worked on data engineering, ML engineering and data visualization

Nov 2020-Jun 2022

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Associate Data Scientist

From Jul 2022

Metyis: Associate Data Scientist

Responsible for Data and AI projects from ideation to implementation, driving impact with our clients.

Led the company-wide Data Science Best Practices L&D program.

From Jul 2022

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Intern Data Analyst

Aug, 2018

Schiphol: Intern Data Analyst

Analysed passenger security data to provide insights in staffing for different security filters. Introduced a new measure which combined several known features to measure under- and overstaffing of the security lanes.

Used Python and R for Exploratory Data Analysis

Created an R Shiny tool to view the trend of this new measurement in parallel with for example, throughput time.

Aug, 2018

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Graduate Intern Data Scientist

Feb-Aug, 2020

Metyis: Graduate Intern Data Science

Applied business rules to improve recommendations on the website of one of its clients using Python

Built a dashboard combining different marketing channels with Funnel.io for campaign tracking using Google Data Studio

Wrote my MSc. thesis about a Comparison of Deep Learning Product Recommendation Engines in Different Settings (9/10)

Feb-Aug, 2020


Education

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MSc. Business Analytics
  • Magna Cum Laude

Courses include: Advanced Machine Learning, Reinforcement Learning, Data Mining Techniques, Information Retrieval and Statistical Models.

2018-2020

VU: BSc. Business Analytics

The objective of this two year master programme is to enrich our understanding of the applications of Data Science and Optimisation to in-company problems. The programme offers a broad selection of courses in which I focused on machine learning

With great interest in the subjects I finished the programme with an average of 8.5/10 and a 9/10 for my thesis.

2018-2020

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Exchange Programme

Courses include: Operations Management, Quantatative Risk Analysis, Strategy

2017

SMU: Exchange Programme

Living and studying abroad have brought me many things including: international relationships, different cultural views, proficiency in the english language.

Important is that it has showed me the possibilities of one's future are endless if you are willing to put in the work.

2017

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BSc. Business Analytics

Courses include: Advanced Programming, Stochastic Modeling, Statistical Data Analysis, Machine Learning.

2015-2018

VU: BSc. Business Analytics

A combination of Computer Science, Mathemathics and Business management focussed on the transformation and handling of big data. The programme is based on practical assignments that provide hands on experience with dissecting problems, analysing and optimisation.

Finalised the programme with a project analysing bottlenecks within Schiphol Security lanes data using Python and R, Grade: 8/10

2015-2018



Contact & Info


Happy to connect!



Last edited Nov 2024