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Nick TacikNT
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Nick Tacik

@nicktacik

Principal Data Scientist at Gray Oncology Solutions improving chemotherapy scheduling efficiency by ~10%.

Canada
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At Gray Oncology Solutions, I led development of optimization and scheduling software for chemotherapy operations, improving resource efficiency by ~10% and reducing patient wait times across multiple hospitals. I also built simulation tools for patient-flow and scenario planning, helping cancer treatment centers evaluate operational tradeoffs before implementation.

I’m developing LLM agents for radiotherapy plan validation and schedule optimization, as well as an agent-driven analytics system that turns natural-language metric definitions into reviewable SQL. Earlier, I built forecasting models and ETL pipelines at Rubikloud, and Python-based document intelligence systems at Chisel AI.

Experience

Work history, roles, and key accomplishments

GS
Current

Principal Data Scientist

Gray Oncology Solutions

Oct 2020 - Present (6 years)

Led development of optimization and scheduling software for chemotherapy operations, improving resource efficiency by ~10% and reducing patient wait times. Developing LLM agents for radiotherapy plan validation and schedule optimization, and building simulation tools for patient-flow and scenario planning.

RU

Data Scientist

Rubikloud

Nov 2019 - Jul 2020 (8 months)

Built forecasting models and ETL pipelines for shipping and retail data, supporting an RFP win with a billion-dollar CPG client. Analyzed client sales and operational data to identify performance drivers and support decision-making.

CA

Machine Learning Engineer

Chisel AI

May 2018 - Jun 2019 (1 year 1 month)

Built Python-based document intelligence systems to detect, parse, and extract structured information from complex insurance PDFs. Developed reusable frameworks that accelerated document-parsing development across the team.

DI

Machine Learning Research Scientist

Daisy Intelligence

Oct 2016 - Apr 2017 (6 months)

Maintained and optimized production C++ pipelines for retail flyer optimization delivered to clients on a recurring basis. Helped build inventory forecasting models in Python that reduced forecast error from ~30% to ~15% for a client.

Education

Degrees, certifications, and relevant coursework

University of Toronto logoUT

University of Toronto

Ph.D., Astronomy and Astrophysics

Ph.D. in Astronomy and Astrophysics from the University of Toronto.

MU

McGill University

B.Sc., Physics

B.Sc. in Physics from McGill University.

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