
girum Wondemagegn
@girumwondemagegn
Founder of Auxiliary.ai building natural-language analytics for marketing agencies; previously a Graduate Technical Intern at Intel Corporation.
What I'm looking for
At Auxiliary.ai, I’m working on a platform that helps marketing agencies access advanced analytics through natural language. The work focuses on automating data cleaning, error detection, reporting, and model development so non-technical teams can use their data to make decisions.
As an Analyst intern at NW Natural, I designed and developed a Python-based data collection and ingestion pipeline using Selenium and Pandas to gather, clean, and structure operational data for analysis and reporting.
At NW Natural, I also performed benchmarking and comparative analysis of performance, cost, and efficiency metrics, then presented findings to management to support operational decision-making.
My background spans data science, analytics, and automation, including enterprise-scale cost, materials, and operational datasets. I’m especially interested in work where analytics, systems thinking, and real business impact intersect.
Experience
Work history, roles, and key accomplishments
Worked as Graduate Technical Intern at Intel Corporation.
- Designed and developed a Python-based data collection and ingestion pipeline (using Selenium and Pandas) to gather, clean, and structure operational data for analysis and reporting.
- Performed benchmarking and comparative analysis to evaluate performance, cost, and efficiency metrics, and presented actionable findings to management to support operational decision-making.
Education
Degrees, certifications, and relevant coursework
Portland State University
Applied Data Science, (Masters)
Portland State University
Bachelor's of Science, Economics
Addis Ababa University
Bachelor of Science, ENGINEERING
Georgia Institute of Technology
CS, Robotics, (2nd Masters- Ongoing)
Google Data Analytics Certificate
Jan 2023
Amazon Web Services (AWS)
AWS Cloud Solutions Architect Professional Certificate
Aug 2024
Coursera
IBM Data Science
Jun 2022
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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