Reza Moshksar
Senior Lead Data Scientist
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolReza Moshksar is a data scientist and core contributor with 13+ years of experience applying machine learning, deep learning, and big-data engineering to business problems across payments, ecommerce, and enterprise platforms. Based in Toronto, he has led production-grade projects—recommender systems, propensity/churn models, CLV and survival analysis—and boosted customer identification and revenue through pragmatic feature engineering and PySpark optimizations. At PyCaret he contributed to a widely used open-source ML library, improving model creation, ensembling, training-time metrics and drift reporting to make models more robust and user-friendly. His background also includes building 60+ automated Wikipedia bots using NLP and cloud deployment, demonstrating a blend of research-grade modeling and operational automation. Comfortable both mentoring teams and executing solo, he pairs a PhD-level analytical foundation with hands-on Python, PyTorch and Spark expertise to turn messy data into actionable, high-impact solutions. An often-overlooked strength is his track record of shipping lightweight tooling and libraries that scale across hundreds of billions of records.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Building Sciences/Technology, Doctor of Philosophy - PhD Building Sciences/Technology at Politecnico di Milano
English, Persian
Github Skills (15)
scikit-learn10
regression10
machine-learning10
python10
data-science10
classification10
ml10
scikit10
data-analysis9
pandas9
lightgbm7
xgboost7
catboost7
time-series4
anomaly-detection4
Programming languages (10)
Github contributions (5)
pycaret/pycaret
Apr 2020 - Feb 2022
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Role in this project:
ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:21 commits, 24 PRs, 54 comments in 1 year 10 months
Contributions summary:Reza contributed to the `pycaret/pycaret` repository by adding and modifying machine learning model functionalities. Their work included enhancing the create_model and ensemble_model functions, incorporating training time metrics, and addressing bugs. They also made improvements to error messages and the drift report, indicating a focus on model performance and usability. The user's changes spanned both classification and regression modules, showing a broad impact on the library's capabilities.
automllow-codepycaretpythonreact
reza1615/PersianTools
Nov 2016 - Sep 2017
Contributions:13 commits, 12 pushes, 1 branch in 10 months
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