Bindi Patel Email & Phone Number

Santa Monica, California, Us

Perception, AR Ranking, Gen AI

Menlo Park, Ca, Us

Houston, Tx, Us

New York, New York, Us

Redmond, Washington, Us

The Effect of Sample Size on Robustness of Raking and Multi-Level Regression and Poststratification Estimates• Assessed the largest psychometric polling data in the US to date for exploratory analysis to assess its worth after Cambridge Analytica’s claim that targeting advertisements based on these scores will be more successful than blind broadcasts• Explored the robustness of post-stratification estimation techniques, raking and multi-level regression with poststratification (MRP), by analyzing the consistency of the estimates across different sample sizes using iterative subsampling• Trends in variance stability exhibited the usefulness of MRP especially when projecting estimates related to cross demographics and with smaller sample sizes

Armonk, New York, Ny, Us

Cognitive Business Decision Services - Watson AI and Data Platforms• Implemented advanced analytics and machine learning algorithms combined with cloud based technologies to drive value for clients• Ran design thinking workshop with business stakeholders in order to tailor a real time data science solution to their needs• Implemented semi-supervised learning techniques for product level categorization of customer feedback and complaints • Led data-driven data quality and governance workshops to improve supervised classification• Created efficiencies surrounding point in time raw data to optimize future processes and analysis for deliverable reports• Developed dynamic, interactive big data visualizations for client presentations• Applied machine learning algorithms to improve fraud and anomaly detection leading to improvements in best practices

New York, New York, Us

• Database analysis of patients’ electronic health records to mine data related to CUMC’s cohort of the Systolic Blood Pressure Intervention Trial (SPRINT) to mimic trial within EHR and establish commonality in results• Leveraged ICD9 codes to facilitate analysis of adverse outcomes to aid in establishing predictability parameters• Determined and optimized algorithms using knowledge engineering to systemize recording

New York, Ny, Us

• Created development troubleshooting documentation related to production servers and database usage• Systemized project management scheduling to aid in effective implementation• Identified active accounts in the transition of permissioning ID system from complex, inefficient multi-container structure to a single container structure to reduce account assignment errors• Created efficiencies surrounding point-in-time data to optimize future processes and analysis

Bachelor’S Degree, Applied Mathematics

Master'S Degree, Data Science

Education record