Hey, I am Sam.
Welcome on my personal website.
You will discover my interests, my writings, and some things I did previously – essentially, what I like and what I am good at.
Values
These traits summarize who I am and what I treasure.
Fun
Nothing good ever comes without the frequent proper laugh. Serious when necessary, not so much when not.
Direct
You will know when I like something, and when I don’t. No nonsense, though I cherish mutual respect and appreciation.
Curious
I won’t call myself wildly curious, but I love to dig deep into certain areas and explore new interests or people regularly.
Upright
When you have me on board, you can count on me for real. A slow starter, but someone who opens up along the way.
Interests
These days, I spend most of my time doing one of the below.
If we share a common interest, let’s get in touch.
Data
Slowly becoming (if not already) a data specialist with various tricks up my sleeve. Especially interested in predictive modeling, MLOps to manage end-to-end machine learning development and production lifecycles, and natural language processing aka NLP.
Storytelling
Books
Neither an avid nor a voracious reader, but I have my outbursts. I read mostly non-fiction, typically books that deal with business, society, or self-knowledge one way or another.
Music
Got myself an electric guitar, and steadily getting better by learning bits and pieces of songs I enjoy. My musical interest varies between different genres of rock and electronic music.
Sports
You will see me doing and watching sports a lot. I have an active football past, and still do some futsal. I like to participate in running events, and plan to run a marathon one day.
Portfolio
Writings
Decided to share my writings from 2022 onwards, here and on Medium. You can start with a random post 👇.
Software
These are a few of the open-source software projects that I contribute(d) to. See also my apps.
The sentometrics R package offers a framework for textual sentiment time series analysis. It integrates the quantification of sentiment from texts, the aggregation into time series, and their usage for prediction.
Cobra is a Python library to build classification and regression models focused on performance and interpretation. The package was developed at Python Predictions and applied in the course of many projects.
Data Wanderers is a budding collaborative effort between former research friends. The idea is to provide (short) reusable pieces of code for others to use, typically involving econometrics or machine learning.
Research
This is the research I did during my PhD. Doing more of it is definitely on the cards.
Talks
I love giving talks and workshops, this repository gathers the ones I’ve done in the past.
Talk to me! 😀
Find me by mail, on LinkedIn, or on Twitter.
sam@desirdata.com