Andi Cuko

Andi Cuko has a diverse work experience in the field of data science and research. They began their career at SIMUNE Atomistics as a Graduate Research Assistant in 2017. From 2015 to 2018, they worked as a Graduate Research Assistant at Sorbonne Université - UPMC & Universitat de Barcelona, where they focused on investigating the structure-property relationships of materials at an atomic scale. During this time, they made significant contributions to the understanding of oxide nanoparticles behavior and shared their findings through research papers and international conferences. In 2020, Andi joined METRON as an R&D - Data Scientist, where they conducted research on optimization algorithms for industrial energetic efficiency. Their main responsibilities included energy optimization of industrial sites using deterministic and stochastic optimal control. Currently, Andi is working at Sarus Technologies as an R&D Data Scientist, responsible for researching, designing, and integrating new SQL-related features into the Sarus ecosystem. Their tasks include designing versatile tools for translating SQL queries between different dialects and exploring machine learning techniques to post-process SQL query results for reduced privacy consumption.

Andi Cuko completed a Doctor of Philosophy (PhD) in Theoretical Chemistry and Computational Modelling from Sorbonne Université - UPMC & Universitat de Barcelona, which took place from 2015 to 2018. Prior to that, they obtained a Master's degree in Advanced Methodologies in Chemistry from Università degli Studi di Torino between 2013 and 2015. Andi Cuko's educational journey began with a Bachelor's degree in Chemistry from Università degli Studi di Torino, which they completed from 2010 to 2013. Additionally, Andi Cuko has obtained several certifications, including "How to Win a Data Science Competition: Learn from Top Kagglers" from Coursera in May 2019, "Deep Learning Specialization" from Coursera in March 2019, and "Advanced Data Science with IBM Specialization" from Coursera in February 2019.