Demand Analytics
Martha Sander is a Full Stack Software Engineer with extensive experience in the tech industry, currently working at Demand Analytics since February 2021, specializing in React, Python Flask, PostgreSQL, and SQL Alchemy. Prior to this, Martha worked at Airbnb from April 2014 to November 2020, where responsibilities included building and maintaining internal tools for customer support and developing a service-oriented architecture backed by an Apollo GraphQL server. Earlier experience includes roles in social media management, customer experience, and translation, with a background in Philosophy and Education from Unisinos and ongoing education through Treehouse.
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Demand Analytics
Demand Analytics is the leading platform for enabling demand-based decision-making. Our software provides insight into underlying consumer demand and enables our industry-leading MLB, NBA, and NFL club partners to make the most accurate, interpretable, and holistic decisions possible. These decisions are driven by advanced machine learning models, presented in an interactive UI, and include dynamic ticket pricing, sales forecasting, and marketing mix modeling. We have experienced the challenge of these club decisions first-hand and built Demand Analytics to solve them.