Pietro Peterlongo
Data Scientist who loves programming (languages). People driven. Trying to focus.
Passionate about Tech Communities and Open Source.
After having worked for a few years putting Machine Learning in production for a Supply Chain Planning and Optimization tool, I took a break, went to a few conferences, joined the Python Milano organizers and help launch PyData Milan chapter. I also spent a period remotely working for batch at Recurse Center a special place (retreat for programmers to dramatically improve their skills) in New York which I plan to visit in real life next time I pass by the city.
I am now happily employed by AgileLab, an Italian born company with the purpose of "elevate the data engineering game empowering companies to shape their future around data." We have a public handbook and a self management system called Holocracy. Stop me and say hi if you are curious about any of the above. Or even if you are not. :)
Sessions
While Data Scientists have ample resources for mastering the mathematical and coding aspects of their work, much less attention is given to developing domain expertise. This talk argues that enhancing domain knowledge is crucial for maximizing the business impact of data science projects. Drawing inspiration from software engineering practices such as Domain-Driven Design, I will share examples from my years of experience in the Supply Chain and Logistics sector to illustrate how deepening domain competence can lead to more effective and successful data-driven solutions.