Master Thesis
DATANOMIQ GmbH, Berlin 02/2023 - 06/2023
- Assessed 15+ models including statistical and deep learning models for time series analysis and forecasting of cryptocurrency prices.
- Engineered ML experimentation pipeline automating data collection, preprocessing, feature engineering, feature selection, and inference, reducing manual processing time by 60%.
- Implemented GRU architecture over LSTM for faster training time, improving RMSE by 16.3%.
Data Engineer
DATANOMIQ GmbH, Berlin 07/2022 - 01/2023
- Architected end-to-end ETL pipelines with Data Warehousing on AWS and Azure for ML application, reducing overall execution time by 80%.
- Developed CI/CD pipelines automating the deployment of data workflows and data pipelines, achieving 90% code coverage with automated tests, ensuring stable deployments.
- Enhanced content relevance through NLP, increasing the company?s marketing reach by 20%.
Data Science Intern
DATANOMIQ GmbH, Berlin 03/2022 - 06/2022
- Conceptualized a Full-Stack web app for renewable energy analysis with a prediction model for CO2 levels, integrating real-time API data, reducing loading times and enhancing overall user experience.
- Applied SOLID principles and Test-Driven Development which boosted code readability by 30% and diminished post-production errors by 50%.