KUMARI P.

Kumari P. is a seasoned Data Scientist with over three years of experience specializing in building scalable machine learning workflows and statistical modeling. With proven expertise in end-to-end ML pipeline optimization, time-series forecasting, and big data processing, she has successfully enhanced predictive accuracy in financial risk assessment by 30% through advanced ML models using XGBoost and CatBoost. At Solytics Partners, Kumari streamlined model deployment by developing custom REST APIs that boosted classification training efficiency by 45%. Her hands-on experience with Python's data stack, including NumPy, Pandas, and SciPy, enabled her to perform extensive feature engineering and exploratory data analysis on high-dimensional datasets. With a strong educational foundation holding an M.Sc. in Computer Science focused on Big Data Analytics from Central University of Rajasthan, and a B.Sc. in Information Technology, Kumari is adept at applying sophisticated statistical methods such as ARIMA and VECM to improve overall model performance.