I am a Computer Science Master's student with a deep interest in machine learning. Coding is my greatest interest and a skill I continuously strive to master. I thrive on understanding how intelligent systems work and exploring ways to improve them through innovative, data-driven approaches.
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Technical University Berlin
Freie Universität Berlin
Digitalization and Automation of Processes
Data and Administrative Assistant
Data Management and Analysis Assistant
10.2023 - 12.2024
As a digitalization specialist, I focused on transforming manual processes into automated, efficient workflows that significantly enhanced operational productivity.
- Developed robust automated solutions using Python and VBA, dramatically reducing manual workload and improving accuracy across multiple departments.
- Designed and implemented intuitive user-friendly interfaces that simplified complex internal workflows, making advanced tools accessible to non-technical team members.
- Restructured large datasets in Excel, enhancing data accessibility and organizational efficiency.
- Actively participated in internal meetings and coordinated application deployment processes.
Tools: SAP, Python (pandas), VBA, Excel
10.2021-09.2022
Contributed to academic research and administrative excellence through meticulous data management and analytical support in a dynamic university environment.
- Executed comprehensive data cleaning and analysis procedures for critical university research initiatives and administrative operations.
- Created detailed internal reports and professional presentations, including specialized work for the innovative Altissia language learning project.
- Provided strategic assistance with project planning coordination and facilitated productive internal meetings
Tools: VBA, Excel, Altissia
02.2019-05.2019
Applied analytical expertise to environmental research, contributing to important hydrological studies through advanced data visualization and statistical analysis.
- Collected, processed, and analyzed complex hydrological datasets using Excel for groundbreaking research projects.
- Created sophisticated data visualizations using R, leveraging powerful libraries including ggplot2, plotly, and shiny to develop dynamic dashboards and conduct exploratory analysis.
Tools: R, Excel
Custom deduplication algorithm implementation with optimized performance for large datasets.
Security monitoring system using machine learning for anomaly detection.
Comprehensive data analysis platform for engineering metrics and KPIs.
AI-powered tool to extract structured data from chart images using computer vision.
Efficient PDF parsing library for structured data extraction and processing.
Neoanalogue artifact that visualizes stress and heart rate data from Fitbit through ambient light, supporting mindfulness and reflection.
Classic Pong game implementation with modern graphics and AI opponent.
Interactive number guessing game with machine learning difficulty adjustment.
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