A Final Year Information Systems Undergraduate specializing in Machine Learning and Data Classification. Combines 7 years of operational business experience with technical proficiency in Python environments. Highly adaptable and detail oriented, with a proven track record of managing end to end projects, troubleshooting hardware or software ecosystems, and delivering data driven solutions.
Collaborated with cross functional teams to gather requirements and deliver solutions that met business objectives. Developed and implemented machine learning models to analyze large datasets, and improving predictive accuracy.
Created detailed 3D models using industry standard software such as Blender, and enhancing visual representation for various projects. Collaborated with senior modelers to refine designs, ensuring alignment with project specifications and client expectations. Conducted thorough texture mapping and rendering processes to produce high quality visual outputs for presentations.
Execute full cycle production operations, including machine setup, material selection, and quality control. Prepare and optimize digital files for production, ensuring correct formatting, resolution, and system compatibility. Troubleshoot hardware and software technical issues to minimize production downtime.
Bachelor's Degree, Information Systems
Undergraduate Thesis: “Implementation of LightGBM Pipeline and Support Vector Machine for Stress Level Classification Using EEG Signals from The SAM 40 Dataset”
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