Résumé

Aidan Elliott-McCrea

Objective:

Find a role where I can apply my analytical and software development skills to bring insights to difficult data. My ideal environment is collaborative, and has opportunities to learn, teach, and mentor.

Skills:

• Statistical analysis
• Data visualization
• Clear and precise communication
• Research

Technologies:

• Python
• HTML/Javascript
• SQLite and other databases
• Advanced spreadsheet use
• Git

Experience:

Voice Assistant QA Engineer

• Automated and manual of testing of natural language voice assistant and speech detection.

Senior Data Analyst

• Produce reports and insights from Elasticsearch, MongoDB, and Salesforce data.

Senior Data Analyst

• Progressed from Analyst to Senior Analyst to Senior Data Analyst
• Performed data analysis to support and improve fraud detection service using voice biometrics, pattern recognition, and machine learning
• Visualized and presented analyses to executives and customers to support sales demonstrations and ongoing deployments
• Developed and maintained data interfaces and analysis toolkit for Fraud Analytics team
• Interviewed and trained a team of 6 Junior Analyst. Responsible for teaching data handling and Python
• Lead development of internal Flask tooling to support rapid iteration of analysis outside of SOC 2 compliant production environment.

Linguistic Annotator

• Corpus annotation and testing for a machine learning based natural language search engine

Cash Receipts Clerk

• Managed detailed daily register records. Prepared and delivered daily cash deposits. Assisted comptroller as needed.

Education:

University of California, Santa Cruz

• Bachelor of Arts in Linguistics, 2002 – 2006
• Computational Linguistics Track
• Graduated with Honors

Recent Projects:

Word Family Friday

• Feb 2017 – Present
• Visualizations of related words in 10-30 languages every week
• In-depth historical linguistics research for each week's word family
• Automated visualization from note format using Python text parsing and Graphviz directed graph rendering

Principal Component Analysis State Clustering by US Presidential Elections

• Jan 2017 – Mar 2017
• Cluster States based on historical Presidential voting similarities from 1796-2016
• Approximately 5,200 data points describing State x Candidate x Year combinations
• Principal Component Analysis using ClustVis web tool

Family Tree Infographic (Healy-Price)

• May 2016
• Designed and illustrated author-approved infographic of a fictional family crossing 7 novels, and 20+ short stories.