Jakub Svehla

Data Scientist
https://jakubsvehla.me
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jakub.svehla@gmail.com
I am a full-stack data scientist and ML engineer with 5+ years experience. I have experience with the whole data science project lifecycle from business understanding, to collecting/scraping data, to visualizing it and doing data analytics, to building a predictive model and deploying it to production. Besides that, I have experience with leading a data science team, communicating with clients to understand their needs and problems, leading data science workshops and supervising junior data scientists.
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Work Experience

Freelancing

Senior Data Scientist
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Jan, 2020 - Current
  • 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.

Datamole

Data Scientist and Team Lead
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Apr, 2015 - Dec, 2019
  • 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.

Czech Technical University in Prague

External Lecturer
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Sep, 2017 - Dec, 2019
  • 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)

Wikidi

Data Scientist
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Jan, 2014 - Apr, 2014
  • 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.

Socialbakers

Data Engineer
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Apr, 2012 - Feb, 2014
  • 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.

Education

Czech Technical University in Prague, Faculty of Information Technology

Data Science, Master's degree
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Sep, 2014 - Jun, 2018

The University of Texas at El Paso

Data Science
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2016 - 2017

National Taiwan University of Science and Technology

Data Science
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2014 - 2015

Czech Technical University in Prague, Faculty of Information Technology

Bachelor's degree, Computer Science
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2011 - 2014

Projects

Simple Portfolio

Jan, 2020 - Current

A simple portfolio tracking app.

Skills

  • Machine learning
  • Data analysis
  • Predictive modeling
  • Data wrangling
  • Data visualization
  • Statistics
  • Python
  • SQL
  • ETL
  • scikit-learn
  • Docker
  • Apache Spark

Languages

English
Fluent
Czech
Fluent