Sagar Singh

Data Science Master's Student & Software Development Engineer

Email: ch.sagarsingh@gmail.com

About Me

I am a Master's student in Data Science with a strong background as a Software Development Engineer. I am passionate about machine learning, data architecture, and building efficient, scalable systems. My experience ranges from developing predictive models in the healthcare sector to managing IT infrastructure and leading projects as a co-founder.

Technical Skills

Python Machine Learning TensorFlow Pandas XGBoost Data Science LaTeX IT Systems Support

Experience

Student Assistant (IT Support)

Institute of Philosophy, Brunswick — Present

Manage departmental IT infrastructure, coordinate system roles (including Webmaster responsibilities), and provide technical support. Facilitate cloud system access and manage hardware synchronization.

Co-Founder

deinTCT, Hanover

Co-founded the organization, managing project coordination, drafting official documentation, and overseeing technical and operational workflows.

Software Development Engineer (SDE)

Previous Experience

Developed and maintained software solutions, applying strong programming fundamentals to solve complex technical challenges and optimize system performance.

Highlighted Projects

Parkinson's Disease Progression Prediction

Engineered a machine learning pipeline using biomedical voice measurements to predict disease progression. Handled extensive data cleaning, feature selection, and utilized XGBoost and Support Vector Regression (SVR) for modeling.

Semantic Segmentation for CFRP Micrographs

Implemented a U-Net architecture for advanced image segmentation. Developed custom patching strategies and color conversion layers to accurately analyze complex materials.

Weather Forecasting System

Built a functional weather application by integrating external APIs and designing a user-friendly frontend interface utilizing Gradio.

Institute Digital Calendar Integration

Developed and implemented a structured digital calendar system for the year 2027 directly into an institutional website.