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Using Tableau to Reveal Healthcare Insights

Ask the Expert

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Kristof Csefalvay

Chris von Csefalvay is Starschema's VP for Special Projects, having previously served as Principal Data Scientist. As a data scientist with over 10 years of experience, he has pioneered AI approaches in epidemiology, earth observation and digital signal processing. Educated at Oxford and Cardiff, he has worked in data science roles for companies across Europe and the Americas and holds a number of patents in the field of machine learning, AI and DSP.

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Improving Predictive Accuracy

A Fortune 50 healthcare conglomerate wanted to improve the predictive model of a mobile application that helps those suffering from allergic rhinitis to make informed decisions about potential exposure to outdoor allergens by predicting symptom severity.

A Better View of Operations for A Glimmer of Hope

A Glimmer of Hope, an American non-profit philanthropic organization, generates large volumes of data during its day-to-day operation, and wanted to effectively track the outcomes and impact of their programmatic work, improve operational efficiency, optimize costs and allow donors to see the full impact of their donations.

Plan Your Post-COVID-19 Business Recovery Using Free Vaccine Distribution Data

Watch this webinar by Snowflake to learn how free vaccine distribution data in the Starschema COVID-19 Epidemiological Data Set is helping businesses chart a safe course to post-pandemic recovery.

Innovative Medical R&D Insights Using Machine Learning with Gedeon Richter

Gedeon Richter, a multinational pharmaceutical and biotechnology company, leveraged Starschema's data science expertise to jointly develop an ML-based methodology to quantify the properties of the mitochondrial network within neurons to enable more effective analysis of medications for various neurological diseases.