05-26, 12:00–12:30 (Europe/Vilnius), PyData Room
Given the vast amount of resources we have online on becoming a data scientist, it is only natural to feel overwhelmed and lost. Those who manage to start a career in the field, eventually spend majority of the time trying to find their dreamed (non-existent) position [Financial Times, 2017]. I am not here to give you extra unnecessary resources, I am here to showcase how you can leverage your interests to achieve a successful data science career. Bring passion, curiosity and a computer. You need no more!
python, PyData, data science, machine learning
Andrea is a Senior Data Scientist at Devoteam, where she works on different data engineering and data science cloud-based projects. Previously, Andrea was working as Machine Learning Software Engineer at Qlik. During that time, she was a major contributor to the development of algorithms for ML-based augmented analytics in the Advanced Analytics team, delivering the very first Machine Learning capabilities in Qlik's cloud-based platform including their K-Means algorithms and Mutual Information function.
Andrea's passion for music and photography led her to pursue a career in Audio-Visual Engineering with a focus on Computer Vision technologies. Her first work as Data Scientist had a focus on Visual/Acoustic Emotion Recognition systems. With her different experiences and diverse background, she enjoys using her creativity to improve data-driven solutions with the latest technologies.
Aside from her work, she spends time creating Data Science content in multiple social media platforms for all levels of interest.