Matt Dancho
Chief Executive Officer at Business Science
Pennsylvania, United States
Summary
🤩
RockstarMatt Dancho is the CEO and founder of Business Science, a Pennsylvania-based company that trains business professionals to become high-earning data scientists and grow their careers. With a decade of hands-on experience, he combines product leadership with deep R-based data science expertise, contributing to popular open-source projects like tidyquant and a widely used Free R-Tips newsletter. His technical work spans financial data integration, tidyverse-focused tooling, advanced R visualizations and analytics (PCA, logistic regression), and automation for reproducible reporting. Known for turning practical finance and analytics needs into robust R tooling, he blends entrepreneurial vision with day-to-day code-level problem solving.
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
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