Rachel Nahon Email & Phone Number

New York, United States

- Ensuring data pipelines are properly implemented, including defining requirements for engineering and testing as pipelines are set up- Building data models for ease of analysis: cleaning raw data, defining business logic, and building architecture off of which the entire business operates- Designing, automating, and maintaining all growth and retention.

- Optimized credit strategy, balancing merchant desires with risk mitigation- Shared risk strategy recommendations with leadership, taking all relevant business motivations and needs into account- Identified customer segments with various motivations (intent to pay vs. fraud, e.g.), enabling a customer-first and empathic approach to short term lending

Greater New York City Area

- Led survey design, optimization, and operations- Worked with leadership to understand business questions and brainstorm creative solutions to answer them- Led and presented analysis of data and market research that directed strategic investments, including programming and new streaming initiatives

Phoenix, Arizona Area

- Cleaned, normalized, and digested large data sets (structured and unstructured) to identify user friction points- Defined and monitored performance of KPIs, understanding key drivers of growth- Presented insights and strategic recommendations to senior leadership

Phoenix, Arizona Area

- Worked with large datasets to manage data quality and identify missing data and constraints - Performed root cause analysis to determine true cause and best sustainable, long-term solutions to problems - Evaluated problems from a business as well as IT standpoint to assess impact and risk

United States

• Built relationships with students living in on-campus residence halls at ASU
• Educated residents about health and wellness topics
• Planned and executed programs related to health and wellness
• Prepared and distributed all marketing materials

United States

• Taught applied as well as abstract mathematical concepts
• Helped students solve coding and logic problems
• Demonstrated applications of math and statistics to various fields (business, engineering, and the life sciences)
• Led workshops and review sessions for students leading up to exams
• Trained fellow tutors
• Led workshops at staff meetings

United States

• Worked in signal processing to detect abrupt signal changes (called 'edges')
• Used Fourier and statistical analysis to develop and test an algorithm to detect these edges even when the signal is corrupted or unusable in certain frequencies
• Presented talks and a poster to large audiences about this topic
• This research has applications in Magnetic Resonance Imaging (MRI), Synthetic Aperture Radar (SAR), and other important areas.**I am a recipient of an NSF grant (number DMS-1148771) for my research in the MCTP Math.