05/06/2026 updated


100 % available
Data Scientist | Data/BI Analyst | Industrial/ML/AI Engineer
Mendoza, Argentina
Only remote
Master of Science in Data Analytics at Hildesheim UniversitätAbout me
Highly analytical and detail-oriented data expert with solid formation in engineering and over 6 years of hands-on experience as a data analyst/engineer. I have a master's degree in Data Analytics with strong emphasis on big data and machine learning.
JavaScriptAmazon Web ServicesData AnalysisComputer VisionBig DataExcel FormulasExcel MacrosExcel Pivot TablesApache HadoopMachine LearningNumPyPredictive AnalyticsMicrosoft Power BITensorFlowSQL Databases
Apache Hadoop, big data, Big Data Analytics, Programming, Computer Vision, Data Analytics, data management, data management system, data pipeline, data manipulation, data wrangling, data visualization, Deep Learning, Distributed computing, Google Data Studio, HTML, Informatics, JavaScript, Linear Programming, machine learning, Matplotlib, Excel, Natural Language Processing (NLP), NumPy, Pandas, Power BI, Python, Pytorch, R, Reinforcement Learning, SQL, Scikit-learn, software development, Spreadsheets, Tableau, Tensorflow, VBA
Languages
GermanBasic knowledgeEnglishFluentSpanishNative speaker
Project history
- Design, develop, and maintain end-to-end data pipelines and ETL processes for payroll data using Python, T-SQL, and Power Query.
- Ensure data quality and reliability by monitoring pipeline execution, validating data, and investigating issues within databases.
- Optimize and enhance data architecture and pipeline performance to improve scalability, efficiency, and processing times.
Developed and optimized ETL pipelines, data models, and dashboards for clients across various industries, improving data accessibility and decision-making.
Built end-to-end data solutions by integrating AWS cloud services and Streamlit applications.
Built end-to-end data solutions by integrating AWS cloud services and Streamlit applications.
- Developed and optimized customer-facing Tableau dashboards, improving user experience.
- Redesigned critical ETL pipelines in R, reducing reporting time by 80%.
- Advised and supported other departments on critical data solutions within the Microsoft ecosystem.