ÂÜÀòÂÒÂ×

Dan Arundel has a diverse work experience spanning various roles in data science and auditing. Dan started their career as an Audit Assistant at Deloitte, where they performed financial statement audits and reviews for both public and private clients. Dan then moved on to become a Senior Audit Assistant, where they conducted testing procedures to assess clients' financial data accuracy and completeness and researched and applied accounting standards to complex scenarios. Dan then became a Senior Auditor, utilizing quantitative analytical techniques to assess the appropriateness of clients' financial records, managing resources, and identifying areas for improvement.

After Deloitte, Dan joined DISH Network as a Data Scientist - CXO Voice of the Customer, where they implemented and maintained automated machine learning pipelines and developed classification models for labeling feedback in NPS survey responses and identifying caller intent for effective survey routing.

Following their time at DISH Network, Dan worked at Guild as a Data Scientist and later as a Senior Data Scientist. In these roles, they led cross-functional projects, built topic identification models for written survey responses, developed a data-driven methodology to identify unique member segments, and organized an internal Hackathon to create text data processing code. Dan also applied topic modeling methods to analyze email and SMS communications, conducted significance testing to detect potential bias, and designed monitoring processes for NLP model performance.

Dan's most recent role was at OXIO as a Senior Data Scientist. However, the specific details of their work in this position are not provided in the information given.

Dan Arundel has a comprehensive education history, primarily focused on business analytics and accounting. Dan completed their Master of Science (MS) degree in Business Analytics at the W. P. Carey School of Business – Arizona State University from 2018 to 2019. Prior to that, they obtained a Master's degree in Accounting from The Ohio State University Fisher College of Business in 2012-2013. Additionally, they earned a Bachelor of Science (BS) degree in Accounting from Bowling Green State University, where they studied from 2008 to 2012.

In addition to their formal education, Dan Arundel has pursued various certifications to enhance their skills. Dan completed the "Complete Tensorflow 2 and Keras Deep Learning Bootcamp," "Complete Course on Data Visualization, Matplotlib and Python," "Mathematics for Machine Learning: Linear Algebra," "Natural Language Processing with Deep Learning in Python," and "NLP - Natural Language Processing with Python" courses through Udemy. Furthermore, they obtained the "Amazon Web Services Cloud Practitioner" certification from Amazon Web Services (AWS) in January 2021.