J. Samek · Field Notes
Entry 001 · Introduction

Hi, I’m Jordan — I build models that tell you why, not just what.

I’m a self-taught data scientist based in Kitchener–Waterloo who spends most of my time turning messy transaction and sensor data into predictions people can act on — then I write about how I got there.

Role
Data Scientist
Based
Kitchener–Waterloo, ON
Stack
Python · SQL · PySpark
Résumé
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Selected work 03 of 05

Water Main Break Prediction

The Water Main Break Prediction is a web application which predicts the probability of water main breaks for the municipality of Kitchener-Waterloo. It is made using Streamlit and deployed on Heroku.

PandasScikit-learnStreamlit

Instacart Market Basket Analysis

This project applies Market Basket Analysis on the Instacart Online Grocery Shopping dataset using Databricks, Spark, and Spark SQL, ingests data through an ETL pipeline, performs exploratory analysis and employs machine learning with PySpark and Scala to discover frequent itemsets, informing purchase recommendations.

Apach SparkScalaDatabricks

DoorDash Delivery Duration Prediction

The aim of this project is to predict the delivery duration of DoorDash orders. The model is trained on deliveries made in 2015 and utilizes classical regression techniques as well as boosted tree regressors.

StatsmodelsPrincipal Component AnalysisLightGBM

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