Caesar Mierzejek
Principal Data Scientist & Machine Learning Engineering Lead
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCaesar Mierzejek is a Principal Data Scientist and Machine Learning Engineering Lead with nine years of experience building end-to-end ML solutions and scalable data pipelines at IBM. He combines hands-on modeling (PyTorch, XGBoost, scikit-learn, NLP) with infrastructure expertise (Kubernetes, Spark, S3) to productionize forecasting, classification, and scoring systems that integrate with platforms like Adobe and Salesforce. Caesar has led cross-functional teams and driven initiatives that materially improved sales and marketing outcomes—examples include an 85% accurate buyer-identification model and tools that accelerated lead progression during IBM’s “AI for Covid” campaign. He also establishes technical standards and reusable infrastructure to boost team productivity, and is a six-time recipient of a Manager’s Choice Award for exceptional delivery. A Stern-trained finance and mathematics graduate, he uniquely blends quantitative rigor with commercial impact, having influenced $100M+ pipeline generation through data-driven go-to-market strategies.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.) Finance Mathematics, Bachelor of Science (B.S.) Finance Mathematics at NYU Stern School of Business
English, Polish
Github Skills (16)
jupyterlab-extension10
jupyterlab10
jupyter-widget10
jupyter10
intellisense9
jupyter-notebook9
pylint9
python-extension9
notebook9
python7
visual-studio6
vscode-extension6
vscode6
version-control5
visual-studio-code5
Programming languages (2)
Github contributions (5)
cezarymierzejek/jupyerlab_material_palenight
Jan 2021 - Jan 2021
Contributions:15 commits in 4 days
cezarymierzejek/jupyterlab_material_palenight_theme
Jan 2021 - Jan 2021
Contributions:1 push, 1 branch in 1 day
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