Greetings!đź‘‹ I’m Matthew J. Oldach, your go-to tech enthusiast!
As a seasoned Senior Consultant and Team Leader at Amaris Consulting, I navigate the ever-evolving landscapes of Bioinformatics, Software Development, Data Science, and DevOps. My expertise spans a multitude of technical domains—from data wrangling and statistical modeling to machine learning, Shiny apps, data visualization, report automation, code optimization, AWS, Docker, and Workflow Orchestration.
Embark on this exciting voyage with me as I share my personal development journey, fueled by a passion for continuous learning that goes beyond the confines of my work responsibilities. Join me in exploring the cutting-edge realms of technology and innovation! 🚀💻 #TechAdventures #ContinuousLearning #InnovationJunkie
M.Sc. in Biology, 2015
University of Calgary
B.Sc. (Honors) in Marine Biology, 2009
Dalhousie
CLICK HERE TO GO TO THE SHINY APPLICATION!!! Inspiration for the Shiny Application You can read as much theory as you want but the best way to learn something is to pull-up your sleeves and get your hands dirty by implementing a project.
Accessing biometric data from the Fitbit API
A tutorial for three methods of labelling an ROI in brain images
Transcriptome Assembly and Annotation.
This package provides a number of ggplot2 themes inspired by vaporwave, both a subgenre of electronic music and an art movement.
How to Choose the Best Open Source Software
Playing around with the axis display in ggplot2
Gold Standard workflow for setting up a new data science project directory and file naming
In this series I will set out to recreate some of the visualization from the book “Knowledge is Beautiful” by David McCandless in R.
Using the TwitteR package and web-scraping the FWT website for better insights
Techniques for the analysis of gene set enrichments, pathway analysis, gene ontologies, functional analysis of metabolomic profiling and coexpression networks
Let’s connect to see where I can help, be it micro-consulting, long-term projects, or joining the team full-time as a Data Scientist.