Data Analyst & Data Engineer & Data Scientist

Ein Data Scientist mit einer Leidenschaft für KI und ihre Anwendungen im täglichen Leben. Erfahrung in den Bereichen maschinelles Lernen, Big Data und Datenanalyse. Beherrscht Python, SQL und verschiedene Tools wie Pandas, PySpark und Power BI. Hat einen Master-Abschluss in angewandter Mathematik und verfügt über frühere Erfahrungen in den Bereichen Finanzen, Marketing und Forschung. Spricht fließend Englisch und hat begrenzte Kenntnisse in Spanisch. Er klettert und surft gerne und engagiert sich ehrenamtlich für NGOs.

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.