Matt Dancho
Chief Executive Officer at Business Science
Pennsylvania, United States
Summary
🤩
RockstarMatt Dancho is the founder of Business Science and co-founder of Quant Science, building pragmatic data-science training that has scaled to 3,000+ students and commercialized enterprise ML education. An Excel‑guru turned mechanical engineer‑turned data scientist, he used R and predictive analytics to help a team grow revenue from $3M to $15M and later applied NLP and lead‑scoring to drive 30% subscriber growth. He contributes to open‑source tooling for finance (notably enhancing tidyquant with Morningstar/Yahoo Finance integrations and a tq_get_util_1 function) and produces hands‑on R tutorials and automation recipes that span Excel, PowerPoint and Shiny apps. Based in Pittsburgh and holding both an MEng in Industrial Engineering and an MBA, he combines engineering rigor, product leadership, and a passion for teaching practical, revenue‑driving analytics.
10 years of coding experience
Stackoverflow
7,098reputation
4.7mreached
63answers
0questions
dataframe
top-5%
jupyter
top-5%
excel
top-5%
r
top-5%
dplyr
top-5%
jupyter-notebook
top-1%
Github Skills (25)
data-visualizations10
r10
data-visualisation10
tidyverse10
financial-analysis10
model-building10
data-wrangling10
jupyter-notebook10
data-visualization10
ggplot10
jupyter9
dataframe9
machine-learning9
excel9
dplyr9
Programming languages (9)
Github contributions (5)
business-science/free_r_tips
Sep 2020 - Jan 2023
Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.
Role in this project:
Data Scientist
Data ScientistContributions:143 commits, 200 pushes, 1 branch in 2 years 5 months
Contributions summary:Matt appears to be contributing to a data science project focused on R-Tips and tutorials related to the R programming language. The commits show the user implementing R code snippets for reading multiple files, scraping data from Word docx files, automating PowerPoint slide decks, writing multiple CSV files using map, creating Excel workbooks, constructing pivot tables, using Tidyverse features for data wrangling (relocate, across, pivot), analyzing data with group_split, creating a table with rating stars, and making maps with ggplot2. The user also demonstrates an understanding of PCA, logistic regression, and creating custom ggplot2 plots with cyberpunk themes.
every-weekbitesciencedata-sciencetips-and-tricks
business-science/tidyquant
Dec 2016 - Nov 2022
Bringing financial analysis to the tidyverse
Role in this project:Data Scientist
Data ScientistContributions:3 releases, 336 commits, 16 PRs in 5 years 11 months
Contributions summary:Matt primarily contributed to enhancing the `tidyquant` R package, focusing on integrating key financial ratio data, including growth, profitability, and valuation metrics, from the Morningstar platform. They implemented a new function, tq_get_util_1, to retrieve and process key financial statistics from Yahoo Finance. Furthermore, they addressed issues with data formatting and presentation, specifically concerning the handling of date formats and numeric conversions, ensuring compatibility with the wider tidyverse.
r-packagefinancialstock-pricesperformance-analysisfinancial-data
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.