Founder of Warburg Pincus data science leader community.As a manager, we are responsible for society happiness. Being more human at work and positive leadership are my passions.

Applying for machine learning related patents & 2021 Performance awardIn Finance credit and collection, design, and lead newly formed teams in 5 timezones for transforming business from 0 to 1. Evolve existing models for better customer experience. Collaborate with IT to lead and advance machine learning environment to cloud, with new data science technologies, frameworks and methodologies, and scale ML models through distributed computing and platform implementationo Using reinforcement learning, develop virtual agent real time negotiation models; next best action models for achieving real time individualized outreach for customer.o Design ML end to end framework for future automation capabilities o Deliver transformational project on time with super tight timelineo Collaborate with different teams to provide business best practiceo Improve team moral

7000+ members

Builds statistical models to predict customer behavior and profile customers. Analyzes trends and patterns in customer behavior or risk related to credit and collection. Develops and updates predictive and behavioral analyses and models. Make presentations and communicate well with executives. Transform customer data into an actionable corporate asset.

Excellent employee of the year 2012Acts as statistical mentor/supervisor for CDC fellows. Provides statistical assistance to public health professionals in CDC. Collaborates with CDC professionals to ensure adequacy of program study design with respect to statistical feasibility. Leads discussions and performs independent model building and data mining for statistical analyses. Interprets results to ensure validity of conclusions. Collaborates with other professionals to reach consensus. Presents the analyses for generating national estimates with research related issues (e.g. alcohol) in a variety of meetings (i.e. research group meetings and prevention research branch meeting).

Northrop Grumman Contractor | Centers for Disease Control and Prevention | National Center for Chronic Disease Prevention and Health Promotion

• Developing strategy for the identification of viral infection and Acute Lymphoblastic Leukemia (ALL) T-cells undergoing apoptosis.• Collaboration with a group of specialists (physicists, biologists and/or statisticians) through the progress of the project.• Statistical model development for the identification of the changes in cell culture and the diagnosis of infection by various pathogens. • Developing the safe handling procedures of biological samples in the experimental environment. • Performing multivariate analyses using SAS with different statistical methods: Partial Least Squares Regression (PLSR), Principle Component Analysis (PCA) fed Linear Discriminant Analysis (LDA), pair-wise comparison, Wilcoxon Signed-Rank Test (WSRT), Wilcoxon Rank Sum Test (WRST), Cross-validation and Bootstrap. • Performing data reduction, data mining and additional statistical analyses using MATLAB with different methods: Principle Component Analysis and Wilcoxon Rank Sum Test.