
Data Scientist | Data Engineer
- Verfügbarkeit einsehen
- 0 Referenzen
- 70€/Stunde
- 50937 Köln
- Weltweit
- de | en
- 04.04.2025
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
7/2020 – 5/2024
Tätigkeitsbeschreibung
● Developed an automated reference product identification application for supply chain operations, eliminating manual search processes through embedding technology and similarity algorithms.
● Transformed manual Excel-based energy reporting into a fully automated cloud solution across all Lidl countries using Databricks and PySpark. Consolidating data from multiple energy and master systems while significantly reducing manual effort and improving data accuracy.
● Created a best practice template for Lidl departments to automatically generate and share reports from Azure Databricks.
● Conducted job interviews for interns and provided mentoring and guidance throughout their tenure.
● Developed an image processing pipeline for product images. Utilized contour extraction and a pretrained Faster R-CNN model to extract relevant objects from varying images. These objects were used to generate more meaningful image embeddings to automatically identifying similar images / products.
● Created a multi-page Power BI dashboard for the controlling department to monitor checkout zone related processes across stores. Visualized KPIs such as scanning time, paying time, and waiting time to identify potential inefficiencies.
Data Science, Python-Programmierer, Data Analyst, Data Engineer
1/2020 – 4/2020
Tätigkeitsbeschreibung
● Built a data pipeline for the actuary department. Performed data cleaning, preprocessing, and feature engineering for the risk modelling process. Additionally generated a summary report for the actuaries to recommend which of the 100+ features from the data warehouse are potential candidates to be used as exogenous variables during the modelling process.
● Optimized SQL queries on Snowflake to streamline data retrieval and improve efficiency in processing motor insurance quotation data.
Data Science, Python, Data Analyst, Data Engineer
9/2019 – 11/2020
Tätigkeitsbeschreibung● Built a keyword extractor for a document management system to automatically categorize documents by using the TextRank algorithm and LDA Topic Modelling. Prototyped a Flask API to deploy the keyword extractor as a microservice.
Eingesetzte QualifikationenData Science, Natural Language Processing, Python-Programmierer
Ausbildung
Universität zu Köln
Köln
Über mich
Weitere Kenntnisse
- Cloud & DevOps: Azure Databricks, Docker, Linux, GIT, Azure DevOps
- Machine Learning & NLP: OpenAI API, LangChain, Hugging Face, Sentence-Transformers, Scikit-learn, PyTorch, XGBoost, LDA Topic Modelling
- Datenbanken & Pipelines: Snowflake, Postgres, Elasticsearch, SQLAlchemy
- Web & API-Entwicklung: FastAPI, Flask
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
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