• As a Data Scientist mostly worked for data cleaning and predictive EDA analysis of CRO trial data to predict patient yield and recruitment timeline for clinical trials across APAC & EMEA regions. • Discuss alternative modelling approaches, considerations, limitations, and feature definition, and develop a strategy to ensure objectives are met in the near-term while also supporting longer-term increased sophistication and performance metrics. • Developed ML models relying on but not limited to the Random Forest, Support Vector, and boosting techniques like Gradient Boosting and XGBoost/Cat Boost. Performed Information Extraction using NLP algorithms using Keras (TF 2.0).