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, ETL/ELT, Blob storage
- Product Management: Azure Boards, Jira, Confluence, Azure Wiki
- Experimentation Design: Causal Inference, 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
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
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
Ergobot, the ergogenic chatbot
"An ergogenic aid is any substance that enhances performance".
Ergo-log collects studies on these aids. The Ergobot is a ChatGPT-based interface with a vector database of Ergo-log articles.
Used sporadically by Ergo-log folks!
Aug, 2023
Deploy Containerized Plotly Dash App with CI/CD (P2: GCP)
Jan, 2023
Containerized Plotly Dash App (GCP)
After Heroku moved to paid tiers, tried GCP with CI/CD for the same containerized app.
Jan, 2023
JSVU Student placement tool
Jan-Mar, 2022
JSVU Student placement tool
Created a tool to match students & companies for the yearly 'bedrijvendag'. Instant Excel export. Used Python (OOP), Docker, Github Actions, Dash, Heroku for CI/CD.
Jan-Mar, 2022
Focus
March, 2021
Lead Data Scientist
From Jul 2024
Metyis: Lead Data Scientist
Leading teams and architectural design for Analytical, ML and GenAI use cases.
From Jul 2024
Analyst Data Scientist
Nov 2020-Jun 2022
Metyis: Analyst Data Scientist
Worked on Data Science, ML Eng, and Data Eng projects, delivering impactful solutions.
Nov 2020-Jun 2022
Associate Data Scientist
From Jul 2022
Metyis: Associate Data Scientist
From ideation to implementation of Data/AI projects, led DS L&D initiatives.
From Jul 2022
Intern Data Analyst
Aug, 2018
Schiphol: Intern Data Analyst
Analyzed passenger security data, introduced staffing measure, built R Shiny tool.
Aug, 2018
Graduate Intern Data Scientist
Feb-Aug, 2020
Metyis: Graduate Intern DS
Improved recommendations with Python, built dashboards, wrote MSc. Thesis (9/10).
Feb-Aug, 2020
MSc. Business Analytics
Magna Cum Laude
Courses: Advanced ML, RL, Data Mining, IR, Statistical Models.
2018-2020
VU: MSc. Business Analytics
Focused on Data Science and ML. Avg grade: 8.5/10, Thesis: 9/10.
2018-2020
Exchange Programme
Courses: Ops Mgmt, Quant. Risk, Strategy
2017
SMU: Exchange Programme
Studied abroad, gained international perspective & cultural understanding.
2017
BSc. Business Analytics
Courses: Advanced Programming, Stochastic Modeling, Statistical Data Analysis, ML.
2015-2018
VU: BSc. Business Analytics
CS, Math, Business combo. Project at Schiphol, Grade: 8/10.
2015-2018
Happy to connect!
robinopdam@hotmail.com