Victor Masiak - Supply Chain Data Scientist

Victor Masiak

Supply Chain Data Scientist

Singapore, Singapore

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Summary

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Senior

🎓

Top School

Victor Masiak is a Supply Chain Data Scientist with 11 years of experience combining academic research and industry practice in data science, machine learning, and strategic business analysis. He brings a rare blend of hands-on engineering—developing open-source privacy tooling like the Privacy Meter used to audit ML models—and board-level strategic advising from his time guiding C-suite decisions at ALTEN. Academically grounded with top grades from Télécom Paris and a research master's from NUS, he has published work on privacy leakage and implemented concrete dataset/model interfaces in PyTorch and TensorFlow. At STMicroelectronics he applies this expertise to supply chain analytics, while previous roles show strong capabilities in M&A due diligence, automated competitor profiling, and Azure-based data infrastructures. Certified on Microsoft Azure and Google Cloud, he is comfortable moving projects from research prototypes to production-ready, auditable systems. An uncommon combination of privacy research and corporate strategy lets him translate technical risks into actionable business decisions.

10 years of coding experience

2 years of employment as a software developer

Master of Science, Data Science, 3.96/4.00, Master of Science, Data Science, 3.96/4.00 at Télécom Paris

Classes préparatoires MPSI-MP*, 4.0/4.0, Classes préparatoires MPSI-MP*, 4.0/4.0 at Lycée Masséna

Master by Research, School of Computing, 4.63/5.00, Master by Research, School of Computing, 4.63/5.00 at National University of Singapore

French, English, Spanish

Github Skills (8)

pytorch10

machine-learning10

privacy10

tensorflow10

python10

data-science10

data-structure9

data-structures9

Programming languages (1)

Jupyter Notebook

Github contributions (5)

privacytrustlab/ml_privacy_meter

Mar 2022 - May 2022

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Role in this project:

Full-stack Developer

Contributions:51 commits in 1 month

Contributions summary:Victor primarily contributed to the development of the `privacy_meter` library, focusing on the core interfaces for datasets and models. Their commits introduced new interfaces for datasets and models, including abstract base classes and concrete implementations for PyTorch and TensorFlow. Furthermore, the user added a function to subdivide datasets. Additional commits formatted documentation and modified the internal structure of the library to support new functionality, such as signals and reports.

privacy-auditmeterdata-auditinformation-leakagedata-privacy

vim951/apate

Jun 2021 - Apr 2022

Contributions:3 releases, 14 commits, 22 pushes in 11 months

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