About

Vaagme Chamarty is an ACOE Associate Analyst at JCPenney with a passion for bringing out meaningful insights from data to help businesses grow through applied data sciences. With over 2 years of relevant experience, Vaagme has acquired good knowledge and hands-on experience of all the machine learning models and optimization techniques. Vaagme's passions include machine learning, predictive analysis, and exploratory data analysis. She is skilled in statistical modeling, including machine learning-supervised and unsupervised, regression, decision tree, random forest, boosting and bagging, predictive analysis, cluster analysis, hypothesis testing, cross-validation, correlation, and SQL. Vaagme's education history includes a post-graduate program in Data Science Engineering from GLIM in 2019 and a Bachelor's degree in Mechanical Engineering from Sri Chandrasekharendra Saraswathi Viswa Maha Vidyalaya in 2017. Vaagme's tech stack includes ML, SQL, Random Forest, test, Frontend, and Software Engineer. She has previously worked as an SDE-Frontend at ekincare. Overall, Vaagme is a skilled data analyst with a passion for using data to drive business growth. Her expertise in statistical modeling and machine learning makes her a valuable asset to any team.