Bio
I’m Miguel, a 26-year-old Mechanical Engineer with a strong passion for data analytics and visualization, process modeling and simulation.
Having majored in Control Systems, Robotics and Industrial Automation, I developed a keen affinity for uncovering insights from data during my MSc degree (obtained from Instituto Superior Tecnico in 2017), an interest that I further explored throughout my Erasmus exchange program at RWTH Aachen (sommersemester 2016), taking elective courses on applied statistics and machine learning.
I am currently based in Lisbon, working as a Data Scientist for a renowned pharmaceutical CDMO. As part of my role within the team, I am accountable for:
- Process mapping - covering people, material and information flows;
- Consolidating data from different systems, establishing new data pipelines and integration services;
- Conducting ad hoc analysis, developing prototype models and proof of concept applications;
- Developing and maintaining a suite of automated reporting tools, process monitoring dashboards and forecasting models;
- Devising new process governance policies, covering roles and responsibilities for data management and best-practice operational procedures;
- Gathering requirements, leading the procurement and overseeing the implementation of innovative industrial informatics software products and hardware solutions;
The languages I use the most are portuguese, R, SQL, english, pyhton and node.js - in that order.
Enough of work.
I travel whenever I get the chance, with a pronounced tendency to keep heading North - from hunting down coffee shops, tap rooms and restaurants in big metropolis to delving into secluded nature retreats. I enjoy swimming and indoor climbing, taking my car for a drive along the coast while listening to music and playing jams on my bass.
This Blog
I decided to start this blog as a way to document my learning process while practicing exploratory analysis and modelling workflows. The title is an homage to the Data Framed episode featuring David Robinson, a podcast that underlies the importance of citizen data literacy in the modern age. Two types of posts will be published:
- Longform : : presented as investigative journalism pieces, aimed at people who want to discover more about the world through data. No code will be featured on theses posts, favouring a storytelling approach weaved upon a data-driven narrative.
- Scribbles : : shorter posts focused on promoting data literacy, where I will explore new packages and APIs while featuring code snippets that can be adapted by the readers to reproduce the analysis on their own.
Posts are written in R Markdown. The blog is built upon Distill for R Markdown (based on the web framework developed by the Distill Machine Learning Journal), and deployed on GitHub Pages.
The content of this blog is released under a Creative Commons Attribution-ShareAlike 4.0 International License and is hosted on my GitHub account.