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Bindi Patel is a Senior Data Scientist at Snap Inc.đź‘» at Snap Inc.. She possess expertise in microsoft office, python, public speaking, microsoft excel, sas and 4 more skills.
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Senior Data ScientistSnap Inc. 2021 - PresentSanta Monica, California, UsPerception, AR Ranking, Gen AI -
Measurement ExpertMeta 2019 - 2021Menlo Park, Ca, Us -
Data ScientistWork America Capital 2018 - 2019Houston, Tx, Us -
Data Science ScholarColumbia University Irving Medical Center 2018 - 2018New York, New York, Us -
Data Science Capstone ProjectMicrosoft 2018 - 2018Redmond, Washington, UsThe 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 -
Analytics ConsultantIbm 2017 - 2018Armonk, New York, Ny, UsCognitive 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 -
Bioinformatics ResearcherColumbia University Medical Center 2016 - 2017New 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 -
Summer Systems AnalystBrown Brothers Harriman 2016 - 2016New 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
Bindi Patel Skills
Bindi Patel Education Details
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Columbia UniversityApplied Mathematics -
Columbia EngineeringData Science -
Brookwood High School
Frequently Asked Questions about Bindi Patel
What company does Bindi Patel work for?
Bindi Patel works for Snap Inc.
What is Bindi Patel's role at the current company?
Bindi Patel's current role is Senior Data Scientist at Snap Inc.đź‘».
What is Bindi Patel's email address?
Bindi Patel's email address is bpatel@fb.com
What schools did Bindi Patel attend?
Bindi Patel attended Columbia University, Columbia Engineering, Brookwood High School.
What are some of Bindi Patel's interests?
Bindi Patel has interest in Economic Empowerment, Politics, Science And Technology, Human Rights, Health.
What skills is Bindi Patel known for?
Bindi Patel has skills like Microsoft Office, Python, Public Speaking, Microsoft Excel, Sas, Pl/sql, C, R, Customer Service.
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