conDati
Ming Hao has been in the field of data science since 2002. From 2002 to 2015, they worked as a Master (Senior) Engineer at HP. In this role, they built the Smart Office and derived "Exception Bands" to optimize and predict energy consumption, resulting in ~18% savings. In 2018, they began working at conDati as a Principal Data Scientist. In this role, they have led, architected, and developed new data-intensive techniques with machine learning and visual analytics. Ming also created a live "Consecutive Anomaly Auto-Detection" dashboard from large revenue data streams on a cloud platform.
Ming Hao has a Master's Degree in Mathematics from The City University of New York.
conDati
We apply AI and Machine Learning algorithms to build analytic solutions that transform into comprehensive predictive models and marketing forecasts.