About

Pragati Parikh is an experienced Data Scientist with a strong background in statistical and analytical modeling. With over 6 years of relevant experience, she has a demonstrated history of conceptualizing and solving complex problems across industries such as digital marketing, information technology, and retail domains. Pragati holds a Master of Science (MS) degree from the Indian Statistical Institute, where she studied Quality Management Science. She also completed a Bachelor of Science (BS) degree in Mathematics from Banaras Hindu University. Pragati is highly proficient in R Studio, Python, machine learning algorithms, and Statistics. She has hands-on experience with supervised and unsupervised techniques such as Linear Regression, Clustering, Decision Trees, Bagging, Boosting, Random Forest, Xgboost, SVM, Logistic Regression, Time Series Forecasting, Multi-collinearity, Principal Component Analysis, Factor Analysis, Oversampling, and SMOTE. Currently, Pragati is working as an Applied AI ML Senior Associate at JPMorgan Chase & Co. She has previously worked as an Applied AI ML Associate and a Data Scientist | Senior Analyst at JPMorgan Chase & Co. Pragati's tech stack includes AI, ML, Data Scientist, Research Scientist, Python, SVM, XGBoost, and Random Forest. She is a highly skilled professional with a strong mathematical and statistical educational background. Her expertise in the field of data science and her ability to solve complex problems make her an asset to any organization.