Shalini Rajanna

Senior Applied Data Scientist

Microsoft

Designed retrospective product-impact studies for cloud and enterprise product teams, defining hypotheses, endpoints, cohort rules, and analytical plans. Built reproducible Python and SQL workflows, reducing analysis cycle time from 18 days to 9 days.

PythonSQLregressionHypothesis TestingUncertainty estimationCausal InferenceMachine LearningAzure DatabricksApache SparkAzure Machine Learning

Senior Machine Learning Engineer

Developed player-behavior studies for live game features, defining measurable outcomes and comparison groups from high-volume event and session data. Built Python and SQL pipelines for longitudinal player cohorts, raising recall from 62% to 78% on a held-out player segment.

PythonSQLpredictive modelingClassificationFeature EngineeringData Pipelines

Data Scientist

Bank of America

Analyzed customer and transaction behavior for risk and servicing research, defining cohorts, derived variables, and outcome measures. Built predictive models and analytical dashboards that improved fraud-case capture from 79% to 86% while preserving analyst review capacity.

SQLPythonregressionClassificationClusteringTime SeriesPySparkPandasscikit learn

Graduate Research Assistant

Formulated research questions and prepared experimental datasets for machine learning studies in the DAIR lab. Implemented feature extraction, classification, and model evaluation workflows in Python and TensorFlow, increasing held-out accuracy from 68% to 76%.

PythonTensorFlowFeature ExtractionClassificationModel Evaluation