Hi, I'm Kirk McGraw

Data Analyst | Data Engineering | Computer Vision

As a data analyst in the civil engineering field, I've worked on computer vision pipelines for petabytes of complex lidar roadway data and thorough historical time series reviews. This page showcases a few of the more interesting personal and academic analyses I've done. Thanks for taking a look!

Projects

Quantitative Finance Strategy utilizing Machine Learning

Robust financial timeseries workflow implementing pairs trading mean-reversion with random forest classification, as well as Augmented Dicky-Fuller and Breusch–Pagan testing for statistical validity.

View Quantitative Finance Strategy

PPE Object Detection

Comparative investigation of R-CNN vs. Transformer object detection models on personal protective equipment data. Models can monitor PPE non-compliance in industry, preventing fines and liability.

View Model Comparison

Data Engineering Lakehouse

Complete end-to-end ML data pipeline incorporating bronze, silver, and gold lakehouse schema with PySpark. The resulting architecture feeds both BI and ML business needs efficiently.

View DE Project

Bird Strikes and You

A logistic regression analysis in R to determine what factors influence birdstrikes. Mass of the animal and season were most predictive of higher repair costs, and ways to avoid expensive bills were recommended to airlines.

View Analysis (PDF)

Get In Touch

If you'd like to reach out, here's a few ways to contact me.

kim449@g.harvard.edu https://github.com/Vistakirk (850) 567-9173