Projects
In this machine learning project, I use Natural Language Processing (NLP) to analyze and classify customer reviews from Yelp. The goal is to accurately identify the sentiment of reviews,
categorizing them as positive, negative, or neutral, providing insights into customer opinions.
Recommender Engine
I use the recommender system for collaborative filtering, content-based filtering, and deep learning to analyze user behavior and preferences. This allows me to personalize suggestions,
enhance user experience, and increase engagement across various industries like entertainment services.
Customer Churn Prediction
The objective of this project is to build a predictive model to forecast customer churn for a telecommunications company based on customer demographics, account details, and service usage data.
The project aims to identify key factors influencing customer retention that can be used for data-driven business decisions.
In this project, I develop a Power BI dashboard to analyze and monitor water quality data form Florida’s gulf coast through visualization techniques. The goal is to provide a concise and easy to
understand dashboard with visualizations that inform about the water quality of economically important areas.
Biomimetic Research is an integrative approach combining biology and engineering sciences to address complex technical challenges. By examining evolved biological structures,
biomimetics seeks to extract working principles of biological role models that inspire innovative technical solutions. This process relies on computational analysis and mathematical
descriptions of the role models to manage and interpret intricate biological data, transforming raw observations into technical solutions. Through rigorous data analysis, biomimetics
turns the complexity of natural systems into a framework for advancing technology.
In my ecological research, I study how marine organisms interact within their ecosystems, focusing on biotic interactions, spatial distribution patterns,
environmental factors, and habitat relationships. By combining field observations with experimental and analytical methods, I aim to understand how marine
organisms interact with their environments and how that affects biodiversity and ecosystem resilience.
In this Python project, I use a Raspberry Pi and RGB LED strip to create a sunrise effect, gradually transitioning in brightness from low to high while shifting from
dark orange (early sunrise) to full-spectrum daylight. Designed as a gentle wake-up experience, this project combines Python scripting and hardware to create a custom
ambient light simulation with a soothing, high-impact effect for the user.
Development Experience
In my software development projects for the Bavarian State Government, I combine structured requirements engineering with Agile Scrum methodologies to deliver robust
digital solutions. By integrating rigorous requirement analysis with iterative development cycles, I ensure alignment with user expectations while meeting the formal
requirements for state contracts.
I follow the principles of Scrum, a framework that fosters collaboration, transparency, and adaptability in product development. By focusing on iterative delivery
and continuous feedback, Scrum empowers teams, enhances communication, and ensures alignment with stakeholder needs to maximize value.
In requirements engineering, I focus on thoroughly gathering, analyzing, and documenting stakeholder needs to establish a clear and solid foundation for the project.
By fostering continuous collaboration with stakeholders, I ensure that requirements are well-defined, aligned with customer/user needs and business objectives to
deliver a comprehensive specification document that serves as the foundation for the implementation.
In project management, I focus on defining clear objectives, creating detailed plans, and ensuring alignment with stakeholder expectations to deliver projects efficiently
and effectively while meeting business goals.
