I design, build, and operate data science and machine learning pipelines.

Currently working in the e-commerce space at Shopify. 🛍️

Tech stack highlights:

  • Languages: Python, SQL, R
  • Technologies: Apache Spark, Kafka, Airflow, Beam, dbt
  • Data analysis: Pandas, PySpark, NumPy, scikit-learn
  • Data visualization: Matplotlib, Seaborn, Altair, Streamlit, Voila, ggplot2, RShiny
  • Cloud services: GCP, AWS
  • A Brief Introduction to Recommender Systems

    8 minute read

    recommender system collaborative filtering content-based filtering

    Covers implicit and explicit feedback, collaborative and content-based filtering, and techniques to evaluate recommender systems.

    Stable Matching Problem

    6 minute read

    combinatorial theory algorithm python

    Walks through the implementation of Gale-Shapely’s algorithm in Python.

    Feature Selection with PyPunisher

    1 minute read

    feature selection information criterion python

    Describes a Python package that performs stepwise forward and backward feature selection.