Data Scientist Iii
CurrentAs a senior member of the Data Science team I am responsible for building, validating and implementing statistical models that help meet business requirements. Some of these statistical models serve in real time through restful APIs while others are OLAP based business intelligence tools. These implementations require cross functional team work for operational success. • Built and implemented attribution model for assessing media ROI, contact rate models and lead scoring models to assist outbound sales calls, bidding models for leads purchases and monetization, and persistency models for predicting customer life time value, and evaluated their performance through A/B testing and divisional KPIs.• Used SQL, R, Python, Docker, Sagemaker, Lambda, S3, EC2, Restful API, SourceTree, Bitbucket.• Led projects in designing, implementing and evaluating supervised and unsupervised learning classifiers like the linear and logistic regression, CoxPH Survival, MARS, XGBoost, Trees, K-means, SVM and neural networks.• Architected and deployed real time prediction models in AWS and SQL server.