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Candice Penelton

MSCS at Stanford University School of Engineering

Candice Penelton is a professional with a strong background in implementing automated analysis of unstructured text data and modeling customer segmented behaviors through system dynamic modeling.

She is well-versed in natural language processing, text mining, and topic modeling, and focuses on ensuring efficient scalability of programs with increasing data demands by using multiprocessing techniques and cloud resources.

With a keen interest in enhancing her NLP skills through exposure to AI and machine learning techniques, Candice currently collaborates with Financial Services and Investment Banking clients to improve their financial models for CCAR PPNR forecast reported to the Federal Reserve.

In this capacity, she specializes in automating clients' financial models from Excel EUCs, turning them into computer programs tailored to their infrastructure needs, and automating data inputs for these models by aiding IT teams in development planning as an IT business analyst.

Candice Penelton holds a Bachelor of Science (B.S.) in Computer Science and Linguistics from Georgetown University and is currently pursuing a Masters degree at Stanford University School of Engineering.

Her professional experience includes roles such as Digital Business Integration Senior Analyst at Accenture Digital, Risk Analytics Experienced Associate at PwC, Analytics Associate at PwC, IT Business Analyst Intern at Halliburton, Summer Technical Intern at MITRE, and Research and Teaching Assistant at Georgetown University Department of Computer Science.

Candice Penelton
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Location

Washington, District of Columbia, United States