Serena Peruzzo

Data scientist. Recurse Center alumna. Travel junkie.

Serena is a senior data scientist at the analytics consultancy Bardess, currently based in Toronto, Canada. Before joining Bardess, she has worked both in academia as an ML researcher and in the industry as a data science consultant on the Australian, British and Canadian markets. Serena is passionate about education, community and tech for good and she splits her free time between mentoring data science students, organizing meetups and volunteering.

Speaking
- PyTexas 2020 (October 24th & 25th), Feature engineering: the dark magic behind data science
- Oπe conf 2020 (October 2020), Feature engineering: the dark magic behind data science
- Women in Data Science Silicon Valley 2020 (June 2020), Making Prophecies with Data: Introduction to Time-Series Forecasting and Recent Developments
- csv, conf, v5 (May 14th & 15th), Improving law interpretability using NLP
- PyLadies/PyData 2020 Kick-off, Improving Law Interpretability with NLP
- PyCon Canada 2019, From Hot Mess To Information
- Polyhack 24, From Hot Mess To Information
- Strange Loop 2019, Improving Law Interpretability Using NLP ( video )
- ODSC East 2019, Boston, Using NLP and ML to Analyze Legislative Burdens Upon Businesses
- ODSC East 2019 Warm-Up: Open Source, Using NLP and ML to Analyze Legislative Burdens Upon Businesses ( video , slides )
- PyData Amsterdam 2016, Data Driven Literary Analysis ( video , slides )

Writing
- Making Prophecies with Data, Towards Data Science, March 2020
- Using NLP to understand laws, Towards Data Science, November 2019
- Using NLP and ML to Analyze Legislative Burdens Upon Businesses, Open Data Science blog, April 2019
- What Factors Matter in Data Science Success?, Bardess blog, May 2018
- Data Cleaning a Necessary Chore, The Recompiler, Issue Six - March 2017
- Code Words, Issue Seven - October 2016, Code Words, Issue Seven - October 2016

Research
- S. Peruzzo, M. Holenderski & J. J. Lukkien, Pattern-based feature extraction for fault detection in quality relevant process control, ETFA 2017
- C. Hull, E. Stark , S. Peruzzo & C. Sims, 2013, Avian collisions at two wind farms in Tasmania, Australia: Taxonomic and ecological characteristics of colliders versus non-colliders, New Zealand Journal of Zoology, 40:1, 47-62