Scrum Master

• Oct 2021 - Present

Associate Data Scientist

• Jan 2020 - Nov 2020

Retrieving and cleaning data for use in Machine Learning applications across multiple lines of business. Communicated requirements and needs from the business to the data science team. Tasked with documenting, cataloging, and training in preparation for a full data catalog, master data management, and data steward program.

Data Solutions Analyst

• Apr 2019 - Jan 2020

Obtain and manipulate data for use in valuable business cases of machine learning and predictive analytics. Deploy the outcome of machine learning modeling for in-house and customer-facing solutions. Directed a line of business project that used proprietary algorithms to automate the scoring and modeling process, resulting in a greater than 2X increase in performance for the line of business.Filled the role of scrum master for a team working to develop a cross line of business data solution for multiple products. Worked with the team to effectively use agile scrum while meeting demands of a very distributed, remote team (US, Israel, Ukraine). Show less

Scrum Master/QA Engineer

• Mar 2015 - Apr 2019

Conducted thorough testing of functionality and performance of machine learning software. Functional testing involved making sure resulting models were generated as expected based on internal algorithms for both unsupervised and supervised learning (heavy manual calculations). Performance testing included both speed of the software (from dataset creation, modeling process, and scoring) and predictive performance of the resulting models and the scoring mechanism.Led the development team working on a predictive analytics/machine learning as Scrum Master, running daily standups, grooming, planning sessions, and review/retrospectives. Worked to keep team on track with standard scrum practices and to make sure we had a prioritized and groomed backlog with the product owner. Show less

Analytics Intern

• Jun 2014 - Mar 2015

Prepared data for and to create predictive models for various use cases within the company. Data prep included data analysis, cleansing and feature expansion. Predictive modeling included using an in-house predictive algorithm and other methods to benchmark performance