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Git Hub Projects

Project Type

Data Science Projects

Date

April 2023

Link

My Github Page

In my GitHub projects, I showcase a diverse range of technical expertise and problem-solving capabilities. From creating predictive models for Coronary Heart Disease to tackling challenges in hackathons, developing innovative solutions for malaria detection, and mastering image classification with projects like SVHN using ANN, my portfolio reflects a passion for applying machine learning and artificial intelligence to real-world problems. Additionally, my projects in medical transcription and advanced recommendation systems demonstrate proficiency in Natural Language Processing (NLP) and recommendation systems. These repositories not only illustrate my technical prowess but also highlight my commitment to leveraging cutting-edge technologies for impactful solutions in healthcare, data analysis, and more.

Advanced Recommendation System using NCF and VAEs

The Medical Transcription project focuses on converting spoken medical records into written text. I played a key role in implementing Natural Language Processing (NLP) techniques for accurate transcription. This project showcases my skills in NLP and healthcare data analysis.

This project was created during a hackathon event and addresses a specific problem or challenge. It demonstrates my ability to work under tight deadlines and produce innovative solutions. The project details the problem statement, our approach, and the final results achieved during the hackathon.

The objective of this study is to develop and compare machine learning models for predicting the occurrence of CHD in the Framingham Cohort using clinical and demographic features. This study aims to provide insight into the potential of deep learning techniques in CHD risk prediction and to identify the best performing model for predicting CHD risk.