Jakub Svehla

• Worked on credit risk scoring for a lending company.
• Worked on an app that scraped housing prices in the Czech Republic and used them to estimate prices of new homes based on location, floorage, number of rooms, etc.
• Working on an app that scrapes ETF market data and uses them to track and evaluate performance (IRR) of your own portfolio.

• Communicated with clients to identify and understand their problems and help them improve their processes and efficiency.
• Led a data science team and helped hire and supervise new junior data scientists.
• Worked hands-on on many data science projects mostly for big international bio- and agro-tech companies.
• Implemented many machine learning proof of concepts written in Python and Jupyter notebooks, using tools such as pandas, scikit-learn, SQL, Apache Spark and various non-SQL databases.
• Deployed ETL & ML pipelines to production in the cloud (Azure).
• Prepared and led several internal and external (for clients or a university) data analyst and data science trainings and workshops.
• Worked on internal data science guidelines and infrastructure to streamline our data science process.

• Helped prepare and lectured a graduate course on distributed data mining (both theoretical background and implementation in Apache Spark)
• Helped prepare and lectured a Python course for beginners (undergraduate)

• Worked on algorithmic/quantitative trading using machine learning.
• Applied machine learning algorithms to financial data.
• Worked on a testing trader written in Python to test our algorithms.

• Worked on the backend that collected data from social networks (Facebook, Twitter, Instagram), stored and analyzed them.
• Worked with many different databases such as MySQL/PostgreSQL, MongoDB, HBase or Redis.

A simple portfolio tracking app.