Alina Budnitzki

Alina Budnitzki has a diverse work experience spanning multiple roles and companies. Alina is currently working at IVU Traffic Technologies as a Senior Data Scientist, starting in February 2023. Prior to this, they held the position of Senior Project Engineer at the same company from January 2022 to January 2023.

Before joining IVU Traffic Technologies, Alina worked at TU Bergakademie Freiberg for a significant period. Alina served as Projektbearbeiterin Open Access Repository (OpARA) from October 2014 to June 2020.

Alina also worked as a PostDoc at TU Bergakademie Freiberg from April 2013 to April 2014. Their role involved investigating fuzzy optimization problems in the non-linear case and making decisions regarding traffic problems.

Prior to their PostDoc position, Alina worked as a PhD-student at TU Bergakademie Freiberg from December 2009 to February 2013. During this time, they also held the role of Teaching Assistant, where they conducted courses in "Grundlagen Mathematik" and taught a bridge course in mathematics for prospective students. Additionally, they served as a Teaching Assistant from April 2011 to September 2011.

Overall, Alina Budnitzki has extensive experience in the field of data science and project engineering, with a strong academic background in mathematics.

Alina Budnitzki completed their education in a chronological order as follows:

From 2009 to 2013, Alina attended TU Bergakademie Freiberg and obtained a degree of "Dr. rer. nat." in the field of study of Mathematics.

Prior to that, from 2004 to 2009, they studied at Saint Petersburg State University and received a degree on June 9, 2009. Their field of study was Applied Mathematics and Computer Science.

Aside from their formal education, Alina has also attained several certifications in Data Science. Alina obtained the following edX Verified Certificates:

- Data Science: Capstone (December 2021)

- Data Science: Machine Learning (August 2021)

- Data Science: Inference and Modeling (March 2021)

- Data Science: Linear Regression (March 2021)

- Data Science: Wrangling (February 2021)

- Data Science: Productivity Tools (February 2021)

- Data Science: Probability (January 2021)

- Data Science: R Basics (December 2020)

- Data Science: Visualization (December 2020)

It is important to note that no strong assumptions have been made, and the information provided is solely based on the given data.