Data Analyst & Data Engineer & Data Scientist

Datový vědec s vášní pro umělou inteligenci a její využití v každodenním životě. Zkušenosti se strojovým učením, velkými objemy dat a analýzou dat. Zběhlý v jazyce Python, SQL a různých nástrojích, jako jsou Pandas, PySpark a Power BI. Má magisterský titul z aplikované matematiky a předchozí zkušenosti z oblasti financí, marketingu a výzkumu. Plynně hovoří anglicky a omezeně ovládá španělštinu. Rád leze po skalách, surfuje a věnuje se dobrovolnické činnosti pro nevládní organizace.

2015-2016: Machine Learning Specialist

• Developed NER models and utilized tokens and word embeddings for automated extraction of keywords.
• Fine-tuned the SciBert model to detect and display relationships between keywords.
• Retrained a neural network to identify cells from images.
• Utilized Python (Pandas, Dask, Transformers, Numpy, spaCy, Requests, Streamlit) and other tools such as GitHub, PgAdmin, Neo4j, and various IDEs.

2016-2018: Big Data Engineer / Data Scientist

• Focused on finance-related data analysis and automation.
• Developed ML and DL models to reduce customer contacts.
• Built reports and dashboards using Microstrategy.
• Utilized Python (Pandas, Keras) and PySpark (MLlib) along with tools like CDSW platform, Hive, Impala, and Git.

2018-2022: Data Specialist

• Responsible for creating SQL statements and procedures for marketing campaigns.
• Visualized data for clients using tools like T-SQL, MS Excel, Power BI, and Marketo.
• Focused on data analysis and visualization.

2022-2023: Researcher (Co-author of scientific paper)

• Collaborated with a university on a research project analyzing the relationship between quality measures in association rule mining.
• Applied methods such as correlation, regression, clustering, and PCA.
• Utilized tools like R, Rstudio, and MS Excel.

Education:

• Completed M.Sc. in Applied Mathematics / Application of Mathematics in Economy.
• Participated in Technomathematics program at a university.

Technical Skills: Machine Learning, Big Data, HQL and SQL.

Languages: English - Full professional proficiency. Spanish - Limited proficiency.

Hobbies & Interests: Rock climbing, surfing, and involvement in NGOs.