Petr Vanek

Petr Vanek is a highly experienced professional with a diverse range of skills and accomplishments. Petr is currently working as a Machine Learning Engineer at Go Autonomous, where they are responsible for developing and implementing a document processing solution. Petr'srole involves automating data collection processes, creating data annotation strategies, preprocessing data, and building AI/ML models using NLP and vision technologies.

Prior to this, Petr served as the Co-Founder of Investment Funnel and a Quantitative Researcher at AlgoStrata. In these roles, they focused on quantitative asset allocation modeling, financial optimization theory, and machine learning algorithms for optimal portfolio management. Petr also conducted extensive research, data analysis, and backtesting.

Petr's academic background includes being a Teaching Assistant and Thesis Co-supervisor at both Københavns Universitet - University of Copenhagen and DTU - Technical University of Denmark. Petr facilitated courses on financial optimization and risk management and provided guidance on thesis projects.

Additionally, Petr gained experience as a Business Data Analyst at Innovisor, where they contributed to organizational network analysis for transforming workplaces. Petr also served as an Ambassador for Copenhagen Capacity, representing the University of Copenhagen and providing information about working opportunities in Denmark for foreign students.

Earlier in their career, Petr was an Analyst Intern at REWE Group and an Ambassador at Nadace O2. These roles allowed him to gain practical experience in business analysis and student advocacy.

Overall, Petr Vanek has an impressive background in machine learning, quantitative finance, teaching, and business analysis. Petr'sexpertise and contributions in these areas make him a valuable asset to any organization.

Petr Vanek's education history is as follows:

Petr obtained a Bachelor's degree in General Mathematics from Charles University, which they attended from 2014 to 2018. During their time at Charles University, they also pursued a Bachelor's degree in Economics and Finance, which they completed in the same period.

In 2018, Petr enrolled in the School of Economics and Management at Tsinghua University. Although the duration of their studies is not specified, it can be assumed that this was a short-term course or program due to the absence of completion details.

From 2018 to 2020, Petr pursued a Master's degree in Mathematics-Economics at the University of Copenhagen (also known as Københavns Universitet). Petr successfully completed the program and obtained their MSc degree.

Additionally, in 2019, Petr undertook a course titled "Blockchain Business Development" as a visiting student at Copenhagen Business School.

Petr also holds several certifications outside of their formal education. These include "Feature Engineering for NLP in Python," "Introduction to Deep Learning in Python," "Advanced NLP with spaCy," "Cloud Computing," and "Introduction to Natural Language Processing in Python," all obtained from DataCamp between December 2020 and January 2021. Petr also participated in the "Young Professionals in Denmark 2018/2019" program offered by Copenhagen Capacity in June 2019. Furthermore, Petr has incomplete certifications from DataCamp in Intermediate Portfolio Analysis in R, Intro to SQL for Data Science, Supervised Learning in R: Regression, Text Mining: Bag of Words, Unsupervised Learning in R, and Writing Efficient R Code.