Damian Satterthwaite-Phillips has a diverse work experience in the field of data science and statistics. Damian is currently working as a Senior Data Scientist at Adelaide since 2022. Prior to this, they worked as a Freelance Statistician, collaborating with professors and graduate students in the social sciences and biology. Damian has contributed to academic publications in anthropology, demographics, and ecology. Damian is skilled in a wide range of statistical methods including regression models, machine learning, clustering, Bayesian networks, and time series analysis.
Previously, Damian held the position of Senior Data Scientist at CBT Nuggets from October 2020 to January 2022. Damian also worked as a Data Scientist at the same company from October 2016 to October 2020. Before that, Damian owned and served as the principal of Phillips Research and Analytics, providing statistical analyses, programming, and research consultation services to businesses and governments.
Damian's work experience also includes being the Lead Scientist and Data Analyst at Northwest Arctic Borough, where they contributed to the creation of a GIS database of subsistence resources and land use in Alaska. Damian conducted research and analysis to unite traditional knowledge with formal science.
Furthermore, Damian worked as a Statistician and Mathematical Modeler at the Illinois Natural History Survey. Damian conducted research on wildlife management and natural resources, specifically focusing on controlling chronic wasting disease in white-tailed deer and monitoring river otter populations.
Damian began their career as a PhD Candidate and research assistant at Stanford University's Anthropology Department. Damian'sresearch focused on developing statistical methods for inferring historical relationships between languages and documenting endangered languages.
Overall, Damian Satterthwaite-Phillips has extensive experience in data science, statistics, and research, with a strong background in various statistical methods and their applications.
Damian Satterthwaite-Phillips has an extensive education history. Damian started their higher education at the University of Illinois Urbana-Champaign, where they obtained a Bachelor of Arts (BA) degree in Italian, graduating in 1999.
Damian then pursued further education at Stanford University. From 2002 to 2004, they obtained a Master of Arts (MA) degree in Japanese Linguistics. Following this, they enrolled in Stanford University for a PhD program in Anthropology (Anthropological Sciences), which they completed from 2004 to 2011.
In 2011, Damian continued their studies at Stanford University, this time in the field of Computer Science. Although it was a non-degree seeking program, they pursued postdoctoral studies through an online open university program.
Additionally, Damian has obtained several certifications throughout their career. Damian completed a course on "shaping-up-with-angular-js" at Code School in July 2015. Damian has also completed various online courses from Coursera, including "Machine Learning Foundations: A Case Study Approach" in April 2016, "Machine Learning: Regression" and "Machine Learning: Classification" in May 2016, "Machine Learning: Clustering & Retrieval" in August 2016, "Neural Networks and Deep Learning" and "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in August 2017, "Convolutional Neural Networks" in November 2017, "Structuring Machine Learning Projects" in September 2017, "Deep Learning" in February 2018, "Sequence models" in February 2018, "Deep Learning Nanodegree" from Udacity in March 2018, "Natural Language Processing with Classification and Vector Spaces" in July 2020, "Build, Train, and Deploy ML Pipelines using BERT" in August 2021, and "Practical Data Science Specialization" in September 2021.
Moreover, Damian has obtained language fluency certifications on Duolingo, including French (Advanced), Italian (Intermediate), and Spanish (Advanced), all in September 2016.
Overall, Damian Satterthwaite-Phillips has a diverse educational background with degrees in Italian, Japanese Linguistics, and Anthropology, complemented by certifications in various areas, including Natural Language Processing, Data Science, and Machine Learning.
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