Project Management and Data Science
When data analysis can maximize the usefulness of project management software
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“When you leave this university, you will know nothing…but you could do anything”
I’ll never forget what my Analysis II professor said on the last day of class. At the time, the phrase seemed like some kind of curse. Like “When you are sixteen, you will prick your finger on a spindle” from the fairy tale “Sleeping Beauty.” “But how?” I thought, “What? An analysis professor saying math isn’t important? How can that be?”
And yet, many years later, I have to say that he was right. Curious to know why?
Who is a Data Scientist?
Yeah, it was true. After I graduated, I was pretty clueless. I didn’t know how to do anything practical. I had studied a lot of theorems and proofs, but I didn’t know what to do with them, where to apply them, and above all, for what purpose.
But I had one fundamental belief: to apply math in practical fields. The goal is to solve real problems using math functions and models. That was my goal.
These days, they’re usually called Data Scientists.
But at the time, the term hadn’t been invented yet.
What’s the connection between data science and project management?
Right now, my main job is making mathematical models for financial markets. To use the specific term again, I am a quant.
But I have always had an eclectic personality. I like to explore and try new things. This “curious” side of me has meant that I have always worked in other fields as well. I designed a mathematical model called Moscioli Shoes to predict shoe prices and sales. It uses local and global factors, such as the season and the target audience.
So one day, my partner on many fintech projects, Fabrizio Cesarini, called me and asked for my help with the data analysis part of one of his personal projects. It was a project management software.
I liked the idea right away. It was also a chance to try out software that could help me organize my work.
The goal of a data science project is to create a product that can get the most out of data using different methods of artificial intelligence and data mining. To create it, you need a management tool that can adapt to the different methodologies used for the project.
So I accepted. I participated as a Data Scientist.
Initially, my task was to analyze internal data processing procedures, refining existing models. Currently, my contribution is to contribute to product innovation through the creation of performance indices and project evaluation indices.
The benefits of MyGANTT
While working on the software, I gradually noticed some of its flaws. Fabrizio had complained that he had never had anyone test it, but had been working on it alone since the beginning. So here I am, a beta tester.
I thought it was important to fix the bugs because I believed in MyGANTT and its potential to be a good alternative to the project management tools that were on the market.
I was looking for a tool to help me in my work, but I couldn’t find anything that was easy enough for me. Most of the tools I found were either too complicated or designed for large teams. They had a lot of features that I didn’t need. I found this program to be really useful and functional.
Also:
– It wasn’t a waste of my time.
– It made me more productive.
– I was able to keep track of the time and costs.
This helped me both financially and in my management role.
To sum it up, ever since I joined the team, I’ve been using MyGANTT for myself too.
After a lot of testing, fixing problems, and making improvements, Fabrizio has decided to release it for free for everyone, including professional project managers and people like me who just need a simple and flexible way to manage their projects.
You can try it out yourself, if you’d like.
… Oh, I almost forgot—it doesn’t cost anything!
Post published on 01/07/2025 by Donata Petrelli on site https://www.donatapetrelli.com
Title Image credits and copyrights by ThisisEngineering on Unsplash
Article Images credits and copyrights by Fabrizio Cesarini on https://www.fabriziocesarini.com
