Software Development Engineer


Project Title: Prognosis of Idiopathic Pulmonary Fibrosis using Machine Learning Techniques
Analysed the medical data of Idiopathic Pulmonary Fibrosis patients and designed 2 Machine Learning models to predict its prognosis in coming weeks
Concepts learned: Exploratory Data Analysis, Linear Regression Model, Multiple Quantile Regression Model
Skills used: Python (Numpy, sklearn, matplotlib) , Machine Learning


A learning environment, like-minded colleagues, opportunity to solve challenging problems, contribute to some real-world product

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Academic Degree

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Big-Tech Companies

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