Abby B. Email & Phone Number

Sunnyvale, California, Us

Sunnyvale, California, Us

My #1 goal is to protect companies and consumers from email fraud and its devastating impact. I sit at the unique intersection of data analytics, product, and engineering in order to deliver on strategic product initiatives and data tooling. I use a combination of technical skills, analytical approaches, and product management skills to empower stakeholders and drive decisions.

Denver, Colorado, Us

Technical lead for a team of Decision Scientists at Ibotta, Inc.- Utilize big data technologies and platforms (e.g., AWS, Spark, Hadoop) to analyze behavioral and transactional data- Utilize programming languages like Python to automate processes and build tools for Sales and Service organizations- Apply machine learning models to deliver against complex business objectives and to push the business forward via prescriptive analytics- Design and conduct rigorous tests and run analytics to prove economic value of the Ibotta platform- Generate insights and business recommendations from data, communicate results of technical analysis to senior members of the organization- Manage cross functional analytics projects- Collaborate closely with Sales and Service to identify analytical opportunities

Boston, Massachusetts, Us

Boston, Massachusetts, Us

- Analyze email data from millions of mailboxes using technologies like AWS (Redshift, RDS, EMR, EC2), Hadoop, and MySQL. Daily use of Python, Spark, bash scripting, and SQL variants (e.g., Hive, Presto).- Produce descriptive statistics, analyze trends, assess impact of changes, create data driven solutions for analytical questions, and automate processes like monitoring.- Contribute to various machine learning projects to build data features and enhance data usability- Onboard new analysts. Mentor analysts to help distribute responsibilities across the team and to increase turnaround time on projects. - Identify tasks required to achieve milestones, allocate resources and coordinate responsibilities to get the job completed. - Guide interpretation of the data feed for internal and external stakeholders. - Act in a consultative role for key clients - Gather requirements from internal and external clients and work with engineering and product management to translate requirements into recommendations for implementation. Work with analytics and engineering during implementation of changes and ensure preservation of data integrity. Document impact and communicate with stakeholders.- Support Product Strategy: work with the business to identify potential opportunities for data. Explore feasibility and value of potential new features, content, feeds, or use cases. - Proactively communicate state of the data and milestones to stakeholders

Boston, Massachusetts, Us

- Analyzed proprietary data feeds in Hive and R. Created metrics to benchmark quality of content, consistency of feeds, and to measure incremental value to the business. Built easily digestible dashboards, via the Shiny package in R, to communicate key information to stakeholders via tables and visualizations.- Was deeply ingrained in the process of building a new data product. Partnered closely with engineering resources and was involved in key decisions ranging from product to solutions architecture. - Built data quality framework for a new data asset. Key components included: defining quality metrics, creating automated tests, writing regular expressions to flag issues, and collaborating with engineering to inject quality tests into engineering processes. - Business Development Support: Helped design a dashboard for pre-sales support of a new product. Supported prospects, via analysis and mentoring, during data evaluations.- Market Research Support: Determined feasibility of market research studies, conducted data analysis, and generated insights

Minneapolis, Minnesota, Us

Boulder, Colorado, Us

Data Analysis in the Institutional Research department.