PILYTIX
Hendrik Kits van Heyningen has a diverse work experience history. Hendrik started their career at Yale University as a Mathematics Course Grader from January 2012 to November 2013. Hendrik then joined KVH Industries Inc. as an Engineering Special Projects Researcher, focusing on problems related to Inertial Navigation Systems used by military vehicles. During their time there, they developed and invented a new calibration algorithm for 3D inertial navigation using MATLAB simulations.
In 2014, Hendrik joined Analytics Operations Engineering (now McKinsey & Co.) as an Analyst. Hendrik led a highly-quantitative team working with Pilytix, LLC to create and refine company-specific Bayesian hierarchical models and other advanced machine learning algorithms for sales pipeline analysis.
In 2016, Hendrik transitioned to Pilytix as the Vice President of Data Science. Hendrik played a key role in overseeing the development of technology and predictive modeling for the company's Explainable AI and Data Management software-as-a-service product. Hendrik also managed a team of software engineers to rebuild the core web application with Python Flask and ReactJS.
Currently, Hendrik serves as the Chief Technology Officer (CTO) at PILYTIX, overseeing all technology and predictive modeling for the company's Explainable AI and Data Management product. Hendrik architected and developed data pipelines using Python 3, Apache Airflow, and PostgreSQL, involving data ingestion, cleaning, mapping, error handling, and delivery for production use. Hendrik also led the rebuilding of the core web application to enhance client portals' customization and interactivity using Python Flask and ReactJS.
Hendrik Kits van Heyningen pursued their education by first attending St. George's School from 2006 to 2010 to complete their high school education. Hendrik then went on to enroll in Yale University from 2010 to 2014, where they obtained a Bachelor's Degree in Mathematics & Physics.
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PILYTIX
Many organizations use CRM analytics as an active part of their sports sales strategy and/or for university fundraising support. To maximize productivity among sports and fundraising teams, PILYTIX is a technology company that uses artificial intelligence (AI) and machine learning (ML) to generate pipeline analytics. In doing so, revenue generating teams will make more money, faster. Great AI and ML tools learn from historical patterns of data and compare those patterns to current data to give insights about most likely outcomes. PILYTIX combines a sophisticated implementation of AI and ML, with a unique philosophical shift in thinking about the revenue generation process that creates customer-centric predictive analytics results in a process for leaders to have more accurate sales pipeline forecasting. PILYTIX benefits every level of revenue generating activities on a daily basis, taking into account ever-changing customer data and its impact on sales, fundraising, and retention. Our customized tools provide sales and fundraising teams with deep, actionable insights, allowing teams to focus on the right customers at the right time - with a clear understanding of factors that move customers through the pipeline faster. PILYTIX’s unique sales and fundraising technology takes the guesswork out of revenue forecasting, reducing reliance on “gut feelings” as the basis for sales and fundraising follow up. Using “explainable” AI to ensure that end users understand exactly how the output is generated, teams are positioned to make smart decisions that maximize revenue generation. PILYTIX also enhances data management strategies among those companies that need to aggregate multiple, disparate data sources. PILYTIX provides a virtually frictionless system used for joining big, cumbersome, constantly evolving datasets and derives timely, usable insights via a unique data environment that provides a nimble approach to ingesting, centralizing, and transforming data.