cavriends

Smooth pip install, worked on first try. Was surprised it can also install packages but I guess that makes sense given it's just running against a jupyter kernel.

Didn't have access yet and have been meaning to try the code interpreter so timing is perfect

Funnily enough, I came across this library a few weeks ago and made a PR to set the right version of the library that throws the errors. If you incorporate this, these will likely all disappear.

Location: Rotterdam, The Netherlands

Remote: Yes

Willing to relocate: No

Technologies: Python, R, PL/SQL, Stan, PyMC3, Orchest.io

Résumé/CV: https://bit.ly/2PQ48pW

Email: cavriends@gmail.com

LinkedIn: https://www.linkedin.com/in/cornevriends/

During the journey to complete the program in (MSc) Econometrics & Management Science (i.e Statistics) I have acquired an extensive repertoire on the methods used in the Frequentist and Bayesian schools of statistics for a variety of problems. In addition, to the more traditional statistics I have an interest in the Machine Learning (ML) and Deep Learning (DL) space and have also participated in several Kaggle competitions (i.e. the Human Protein Atlas Challenge). These curricular and extracurricular pursuits have provided me with a good perspective on the strengths and weaknesses of the different schools of thought with regards to solving complex modelling problems. What makes me tick is the application of the latest theoretical developments to practical use cases and in the process get acquainted with the ever-changing world of frameworks and libraries that goes with it. I would love to start out in a Junior Data Scientist position, if my profile resonates with you, let me know ;)

Location: Netherlands (Rotterdam)

Remote: Available

Willing to relocate: Yes (within NL)

Technologies:

- Languages: Python, R, SQL and Stan (PPL) (familiar with Java & MATLAB)

Résumé/CV:

- LinkedIn: https://www.linkedin.com/in/cornevriends/

- Education: BSc Finance, MSc Finance & Investments, MSc Econometrics (late stages of thesis)

- Full résumé on request

Email: cavriends [at] gmail.com

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Hi all! Fresh out of graduate school (almost), with work experience as an analist at a large energy firm in NL. Furthermore, I have a special interest in ML/AI, did a few Kaggle competitions to familiarize myself with the field (HPA competition, top 20%). At this moment finishing up a thesis on Variational Bayes in "large" (in a macroeconomic setting) parameterized models. A traditional statistic education with an interest in ML/AI has helped me get to grasp with the subtle differences between the two distinct fields (with each its benefits and detriments). After these years of studying I am eager to start! I am quite interested in applying the latest theoretical work to practical problems in any space (with a slight preference for non-finance)

If you think it is an interesting match, let me know!