Ardhendu Singh
About Ardhendu Singh
Ardhendu Singh is a Senior Data Scientist currently working at Point Predictive in San Diego, California. He has extensive experience in data science and analytics, having previously held positions at Launchable Inc, Applied Materials, Cisco, and Motorola.
Current Role at Point Predictive
Ardhendu Singh serves as a Senior Data Scientist at Point Predictive, a position he has held since 2021. He works in San Diego, California, where he utilizes advanced statistical, analytical, and AI/machine learning concepts. His role focuses on providing business intelligence and insights that inform critical business decisions.
Previous Experience at Launchable Inc
Prior to his current role, Singh worked at Launchable Inc as a Principal Data Scientist for 10 months in San Jose, California, from 2020 to 2021. In this capacity, he contributed to data-driven projects aimed at enhancing software development processes.
Educational Background
Singh has a diverse educational background in data science and engineering. He earned an Associate of Data Science from North Carolina State University in 2017. He also holds a Master of Science in Electrical and Electronics Engineering from the University of Cincinnati, completed in 1998. Currently, he is pursuing a degree in Business Administration and Management at Stanford University Graduate School of Business, starting in 2024.
Expertise in Data Science and Machine Learning
Singh possesses a strong understanding of various statistical distributions, including Normal, Gamma, F-distribution, Chi-distribution, and Dirichlet distribution. He has expertise in building analytical models using machine learning and neural network algorithms, particularly for detecting defects in silicon chips during fabrication.
Career Progression and Technical Skills
Singh's career spans multiple roles in data science and software engineering. He previously worked as a Lead Data Scientist at Applied Materials and held senior software engineering positions at Cisco and Motorola. His technical skills include developing predictive models, such as a neural model for conference room usage based on audio data and a time-series model for customer retention in Cisco Spark Message app.