Hello!
Thanks for stopping by!
I’m a M.Sc. in Data Science and B.Sc. in Finance working a full-time job as a Senior Data Scientist at GBM. My research interests include applications of data science processes and machine learning in finance. I work in the Data Science & Strategy team and develop novel data mining methods to extract actionable investment ideas.
The purpose of creating this blog is to share my learning process and hopefully, through that process, share something of value to you.
🎓 Education
⭐ M.Sc. in Data Science • ITAM • 2018–2020
⭐ B.Sc. in Finance • ITAM • 2011–2016
Why Quantamental Finance?
The term quantamental is, in fact, a portmanteau of quantitative and fundamental and thus refers to an investment strategy that combines both approaches to investing, with the aim of improving returns. By merging these two approaches to investing—computer power with human insight—it is believed that one can extract superior insights from financial data, and hence, get better investment results.
Recent developments in Data Science and Finance have proved that the use data in finance has never been more important. Of course the use of data and modern modeling techniques (say, Machine Learning or Deep Learning) is ubiquitous and is not only applicable to finance, but I’ve always been more interested in how data can help make better, smarter investment decisions. I hope you are intrigued, too. If not, read it from Larry Fink himself:
“The democratization of information has made it much harder for active management.” —Larry Fink.
Below you can find some featured blogposts from which I hope you can learn some quant finance.
The Quantamental Blog
Creating a time series chart
A simple post
Read moreA third post
Grid is the very first CSS module created specifically to solve the layout problems we’ve all been hacking our way around for as long as we’ve been making websites.
Read moreFeatured categories
R (7) Theme Features (7) package (3) meetup (2) workshop (1)