Data Analyst & Data Engineer & Data Scientist
Prehľad
Krátke zhrnutie
Dátový vedec s vášňou pre umelú inteligenciu a jej využitie v každodennom živote. Skúsenosti so strojovým učením, veľkými dátami a analýzou údajov. Ovláda Python, SQL a rôzne nástroje ako Pandas, PySpark a Power BI. Má magisterský titul z aplikovanej matematiky a predchádzajúce skúsenosti v oblasti financií, marketingu a výskumu. Plynulo hovorí anglicky a v obmedzenej miere ovláda španielčinu. Rád lezie po skalách, surfuje a dobrovoľnícky pracuje pre mimovládne organizácie.
Pracovné skúsenosti
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.
| Zamestnanec | 3905 € / Mesačne |
| Úroveň | MEDIOR |
| Praha |