Christopher Du Plessis
Chief Technology Officer at Dyner
Johannesburg, Gauteng, South Africa
Summary
🤩
Rockstar🎓
Top SchoolChristopher Du Plessis is an Actuarial Analyst and technology leader blending seven years of actuarial expertise with machine learning, cloud engineering, and data platform design. A Fellow of the Actuarial Society of South Africa and Google Cloud certified engineer, he builds end-to-end actuarial pipelines and ML systems that power intelligent insurance decisioning and forecasting. He has applied production-grade tools like Prophet, LightGBM, PyTorch and Transformers on AWS/GCP, and contributes to open-source projects such as SymPy—improving stochastic process tooling used by the broader Python scientific community. Currently shaping technical strategy as CTO at Dyner and previously delivering actuarial data science at Fount and Discovery, he’s comfortable moving from hands-on model development to architecture and team leadership. Colleagues describe him as an analytical problem-solver who leverages emerging tech—including LLMs and agent toolkits—to make actuarial work more scalable and auditable.
7 years of coding experience
Bachelor of Science - BS Actuarial Science, Bachelor of Science - BS Actuarial Science at University of the Witwatersrand
English, Afrikaans
Stackoverflow
1,280reputation
52kreached
50answers
3questions
sympy
top-5%
Github Skills (13)
mathematical10
python10
sympy10
modeling10
testing9
computer-algebra8
solver6
scipy6
google-cloud-platform6
youtube6
max6
numpy6
pytube6
Programming languages (4)
Github contributions (5)
sympy/sympy
Sep 2020 - Sep 2021
A computer algebra system written in pure Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:106 reviews, 86 commits, 32 PRs in 1 year
Contributions summary:Christopher primarily contributed to the `sympy/stats` module, focusing on enhancing and refining the functionality of stochastic process types. Their work involved fixing a typo, updating the state space representations, refactoring the code, adding several tests and examples. The user's commits demonstrate an effort to improve the usability of the library by creating additional examples and tests.
mathpythonsciencecomputer-algebra-systemalgebra
Maelstrom6/DiscreteMarkovChains.jl
Dec 2020 - Apr 2022
A collection of functions based around Markov chains.
Contributions:27 commits, 2 PRs, 44 pushes in 1 year 4 months
statisticsjulia-languagefactorizationmarkov-chainschains
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