Highlights:

Skills:Machine Learning, Deep Learning, Python, Computer Vision, PyTorch, OpenCV, TensorFlow, Numpy, Pandas, Version Control, GCP, SQL, Java, R Programming

Data Analyst Intern 10/2019 - 09/2020
Anahat Foundation, Bangalore, Karnataka India
Analyzed medical and demographic data of an urban slum population of South India, to determine factors contributing to lifestyle diseases, and provided data-driven recommendations for preventative healthcare strategies.
Conducted thorough Exploratory Data Analysis (EDA) on preprocessed data, utilizing visualization techniques to analyze population demographics and medical trends, providing valuable insights for subsequent analysis. Took the lead in developing a predictive model in R, employing logistic regression and feature engineering techniques to identify key factors contributing to the risk of lifestyle diseases within the slum population. Collaborated with team members to interpret results and make data-driven recommendations for preventative healthcare strategies.--

CHRIST (Deemed to be University) 06/2018 - 03/2021
Bangalore, Karnataka, India
Degree: Bachelor's Degree
Major:Computer Science, Mathematics, Statistics
GPA: 3.84/4.0 Key courses: Python Programming, Linear Algebra, Statistical Inference, Time Series Analysis & Forecasting

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