Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.
GPA: 8.2
Soft skills
Binary Classification Of Diabetic Patient,
Description
The objective of this project is to develop a binary classification system that predicts whether a patient is diabetic or not based on relevant features. The project incorporates a user-friendly interface created using Gradio, and utilizes popular Python libraries such as NumPy, Matplotlib, and Pandas for data manipulation, visualization, and Sci-kit Learn for machine learning.
Business Logic
The project's business logic lies in providing a user-friendly tool for quick and accurate prediction of diabetes based on input features. The model's reliability is crucial, and the interface should be designed to be intuitive, providing insights into the prediction factors for transparency and user trust.
Accenture North America Data Analytics and Visualization Job Simulation on Forage - April 2024