Ramon Perez

Ramon is currently a developer advocate at Seldon. Before joining Seldon, he worked as an independent freelance data professional and as a Senior Product Developer at Decoded, where he created custom data science tools, workshops, and training programs for clients in various industries. Going a bit further back, Ramon used to wear different research hats in the areas of entrepreneurship, strategy, consumer behavior, and development economics in industry and academia. Outside of work, he enjoys giving talks and technical workshops and has participated in several conferences and meetup events. In his free time, you will most likely find him traveling to new places, mountain biking, or both.

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Sessions

11-03
10:15
40min
Architecting Data: A Deep Dive Into the world of Synthetic Data
Ramon Perez

Finding good datasets or web assets to build data products or websites with, respectively, can be time-consuming. For instance, data professionals might require data from heavily regulated industries like healthcare and finance, and, in contrast, software developers might want to skip the tedious task of collecting images, text, and videos for a website. Luckily, both scenarios can now benefit from the same solution, Synthetic Data.

Synthetic Data is artificially generated data created with machine learning models, algorithms, and simulations, and this workshop is designed to show you how to enter that synthetic world by teaching you how to create a full-stack tech product with five interrelated projects. These projects include reproducible data pipelines, a dashboard, machine learning models, a web interface, and a documentation site. So, if you want to enhance your data projects or find great assets to build a website with, come and spend 3 fun and knowledge-rich hours in this workshop.

Central Park West (Room 6501)
11-03
11:45
40min
Artificial Rhythms: The Merger of Machine Learning, Music and Programming
Ramon Perez

From music composition with code to style transfer and music generation with machine learning (ML), the intersection of music, programming, and ML is opening up exciting avenues for innovation and creativity. This session will take you through a whirlwind tour of the latest techniques and applications that use code and ML to compose music, generate novel rhythms, and evolve the way we approach audio production. If you want to get started writing code and algorithms that create or enhance music, this session will give you the right tools to begin your journey and continue learning.

Radio City (Room 6604)