Sharvin Varghese

To leverage my comprehensive expertise in machine learning, data analysis, and software engineering to drive innovation, enhance operational efficiency, and deliver impactful solutions in a dynamic and growth-oriented environment.

Precision at its Core, Preterm Birth (PTB) is a leading cause of neonatal morbidity and mortality, with long-term impacts on child health, including developmental disabilities, cognitive impairments, and chronic health conditions. This study presents a machine learning-based prediction model for PTB using metabolomics data. Five models—Random Forest, K-Nearest Neighbors, Gradient Boosting, Decision Tree, and Logistic Regression—were evaluated. The Gradient Boosting model demonstrated the highest performance (accuracy: 0.97; AUC: 0.98). The top 5 metabolites contributing to PTB pathogenesis were identified as Calcium carbonate, Thymidine-5’-carboxylic acid, 2-Hydroxyfelbamate, (2R,3R)-3-chloro-6-hydromellein, and Fenothiocarbsulfoxide. Early interventions targeting these metabolites could significantly reduce PTB risk., 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 06-08 July 2023, 23 November 2023, 10.1109/ICCCNT56998.2023.10307581, IEEE

• CodeKaroYaaro-psychometric-test, 10/2021, 02/2022, https://github.com/sharvinvarghese/CodeKaroYaro-psychometric-test, Developed a web application with an accuracy rate of 89% using Python, Java, HTML, CSS, and JavaScript. The application features a user-friendly and interactive UI, designed to predict behavior and provide insights into personality traits.
• Diet Diary, 08/2021, 02/2022, https://github.com/sharvinvarghese/Diet-Diary, Contributed to the development of a comprehensive food tracking application using Django and Python, offering users valuable insights into their dietary intake and eating habits.
• Physician data mining, 10/2020, 01/2021, https://github.com/sharvinvarghese/Physician-data-mining, Collaborated on a Flask-based Python web application for data mining physician data, focusing on validating and verifying phone numbers listed in a dataset through data analysis and web scraping techniques.