Nicholas Tacik
Montreal,QC
Summary
Data Scientist with 8 years of industry experience. I love finding solutions to big problems. Looking for a great team to join.
Overview
8
8
years of professional experience
Work History
Principal Data Scientist
Gray Oncology Solutions
11.2020 - Current
- Developed and maintained software to schedule chemotherapy patients. Increased resource efficiency and decreased wait times at multiple hospitals, while meeting departmental constraints.
- Developed software to simulate patient flow and allow scenario planning across all cancer treatments centres of hospitals.
- Created and deployed a machine learning model to predict chemotherapy cancellations based on patient history.
Data Scientist
Rubikloud
11.2019 - 07.2020
- Analyzed data, wrote ETL pipelines, and machine learning models to generate time-series forecasts of shipping data, helping our team win an RFP with a Billion+ dollar CPG company
- Helped analyze and gain insights into a retail client's sale data, and helped debug and modernize the legacy code base
- Regularly presented lunch lectures showcasing new topics in machine learning to the team
Machine Learning Engineer
Chisel AI
05.2018 - 06.2019
- Designed and implemented python algorithms to automatically parse generic list and table regions in insurance industry pdf documents
- Created a python framework to automatically detect and extract the most important key-value pairs in insurance industry pdf documents
- Implemented a framework that allowed our team to easily write code allowing them to parse insurance industry pdf documents
Data Scientist
Quandl
04.2017 - 08.2017
- Performed exploratory research and statistical analyses of alternative financial data sets to find signals correlated with financial markets and help commercialize data products
- Wrote white papers to document research results
- Uploaded, documented and maintained databases on the Quandl website
Machine Learning Research Scientist
Daisy Intelligence
10.2016 - 04.2017
- Optimized and maintained C code to perform flyer optimization for retail clients
- Helped build a machine learning model in python for time-series inventory forecasting which reduced forecasting error from ~30% to ~15% for our client
- Ensured delivery of weekly results and updates to our clients
- Built software to manage, and managed a 48-hour hack-a-thon at University of Toronto where the students built 'Ultimate Tic-Tac-Toe' bots
Education
PhD - Astronomy and Astrophysics
University of Toronto
Toronto, ON10.2016
BSc - Physics
McGill University
Montreal, QC04.2009
Skills
- Machine Learning and Software Engineering with Python
- Linear Programming with Python
- Deep Learning with Keras and PyTorch
- Database Management with SQL
- Mathematics
- Statistics
- Probability
- Data Analysis
- Data Visualization
- Critical Thinking
- Problem Solving
- Collaborative Work
Languages
English
Native or Bilingual
French
Limited Working
Timeline
Principal Data Scientist
Gray Oncology Solutions
11.2020 - Current
Data Scientist
Rubikloud
11.2019 - 07.2020
Machine Learning Engineer
Chisel AI
05.2018 - 06.2019
Data Scientist
Quandl
04.2017 - 08.2017
Machine Learning Research Scientist
Daisy Intelligence
10.2016 - 04.2017
BSc - Physics
McGill University
PhD - Astronomy and Astrophysics
University of Toronto
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