Holaluz is a renewable energy provider in Spain and today their Sr. Data Scientist Pablo Rosado is sharing his challenging experience of working in the renewables industry. Oftentimes, people refer to deep neural networks and the most advanced and complex algorithms talking about data science. But, as Pablo says, having robust knowledge of the basics of data cleaning, wrangling and engineering is even more important for working in a real-life business setting.
After switching from academia and research in Astrophysics into the data science industry, Pablo has also made many discoveries and overcome many challenges along the way. His insights about what is really important while learning to work with data will be of great value to both academics as well as aspiring data scientists.
Related websites we touched in the interview:
- Pablo’s blog
- Pablo’s Linkedin
- Data Science For Social Good Summer Project
Pablo Rosado is an astrophysicist and data scientist. In practice, he is a creative problem solver, proficient in mathematical modeling, data analysis, numerical simulations, machine learning, signal processing, and frequentist & Bayesian statistics, with a passion for music, video making, and science communication.
