@topspinj

Data Scientist &
Software Developer

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

Feature Engineering of Electronic Medical Records

12 minute read

feature engineering data cleaning healthcare

A comprehensive overview of data cleaning and feature engineering techniques for clinical data

11 minute read

project recommender system implicit feedback collaborative filtering

A step-by-step guide to building a recommender pipeline, from data wrangling to model evaluation

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.

6 minute read

combinatorial theory algorithm python

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

1 minute read

feature selection information criterion python

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