Jakub Drahokoupil

Senior Data Scientist @Ceska sporitelna

✔️ ITTraderPortfolio ManagerQuantitative Analyst🏦 FinanceBanking OperationsML EngineerData Scientist

As a Senior Data Scientist at Ceska sporitelna, Jakub Drahokoupil has made significant contributions in the field of data analysis and modeling. He has successfully developed and implemented complex data-driven solutions that have improved the bank's decision-making processes. His expertise in machine learning and AI has also enabled him to create predictive models that have enhanced the bank's customer service and risk management strategies. Jakub has also played a key role in training and mentoring junior data scientists, thus fostering a culture of knowledge sharing and continuous learning within the team.

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Work Background

Česká spořitelnaSenior Data Scientist - Advanced analytics and optimization methods

Oct. 2023Prague, Czechia · On-siteContinuation of the AI and Machine learning solution delivery including MLOps and DevOps on the broader scale of the whole bank products within the new CS department. - Optimization methods - Machine learning and statistics models development - Testing of LLM within the CS processes

Česká spořitelnaData Science Risk Analyst

Sep. 2021 - Oct. 2023Prague Metropolitan AreaDevelopment of credit risk models for retail portfolio. Development of advanced ML and statistical models (XGBoost, LSTM neural nets, Kalman Filter models, Particle filters, GAN, VAE, RL models etc.). - Python - Java - Jupyter - PyCharm - Azure Databricks - FICO DO, Xpress Model optimization in Mosel and Python - Visual Studio - IntelliJ - MS SQL - Spyder - Oracle - Hive - Spark - Impala

KPMG Czech RepublicConsultant Risk Consulting - Quantitative stream

May. 2018 - Aug. 2021Hlavní město Praha, Česká republika- Auditing and development of mathematical and statistical models for IFRS 9 and other purposes. - Development of tools and client solutions.