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Simon Aytes Email & Phone Number
Graduate Research Assistant
at
KAIST AI
1 work email found
@pentagroup.co
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Graduate Research Assistant
Location
Seoul, South Korea, Korea, Republic of
Who is Simon Aytes? Overview
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Quick answer
Simon Aytes is listed as Graduate Research Assistant at KAIST AI, based in Seoul, South Korea, Korea, Republic of. AeroLeads shows a work email signal at pentagroup.co and a matched LinkedIn profile for Simon Aytes.
Simon Aytes previously worked as Data Scientist at Penta Group and Junior Data Scientist at Penta Group. Simon Aytes holds Master Of Science - Ms, Artificial Intelligence from Korea Advanced Institute Of Science And Technology.
Company email context
Email format at KAIST AI
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{first}.{last}@pentagroup.co
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AeroLeads found 1 current-domain work email signal for Simon Aytes. Compare company email patterns before reaching out.
Profile bio
About Simon Aytes
Simon Aytes is a Graduate Research Assistant at KAIST AI. He possess expertise in talkwalker, data science, interdisciplinary collaboration, windows os, microsoft powerpoint and 26 more skills. He is proficient in German, Korean and Chinese. Colleagues describe him as "Hard worker, ambitious, and data driven individual, Simon exceeds all exceptions. It's a pleasure working with him"
Listed skills include Talkwalker, Data Science, Interdisciplinary Collaboration, Windows Os, and 27 others.
Current workplace
Simon Aytes's current company
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10 roles
Simon Aytes work experience
A career timeline built from the work history available for this profile.
Graduate Research Assistant
Current
Feb 2024 - Present
Data Scientist
• Developed an industry-first social listening tool targeting TikTok, utilizing AI-based machine transcription and topic-modeling algorithms to extract and track themes of conversation.• Created and deployed a web-based solution to deliver analytical tools developed in Python to analysts; implemented interactive dashboards and enabled seamless data exploration and analysis.• Pioneered novel analysis and data mining techniques for various media streams, including both traditional news media and social media content.
Oct 2022 - Feb 2024
Junior Data Scientist
• Leveraged TensorFlow to create a deep learning model to predict trend adoption in both social and traditional media.• Pioneered novel methods for analyzing NER results from social media; improved data gathering and analysis time by 900%; implemented new NLP frameworks for streamlining data analysis.• Refactored an existing process code base, increasing the efficiency of a core business function by 70%.
Jan 2022 - Oct 2022
Data Science Associate
Sep 2021 - Jan 2022
Researcher
• Consulted the project’s principal investigators to develop a plan for the automated scraping and extraction of data pertaining to indigent burials across the United States at both state and local levels.• Assessed the feasibility of creating a database of this data for researchers looking to discern the effect of the ongoing COVID-19 pandemic and the opioid crisis on indigent burials countrywide.• Conducted analyses to support the creation of an abstract for the Population Association of America (PAA) 2022 Conference.
May 2022 - Oct 2022
Journo-Tech Fellowship
• Designed a machine learning model in Python to predict an article’s unique page views within 2-weeks of publication based on its headline and associated attributes.• Utilized structured data from WSJ’s databases to train the machine-learning model.• Wrote and optimized SQL queries to segment data from existing databases.
Aug 2021 - Dec 2021
Development Intern
• Design and development of an applied Data Science VR application using Unity3D.• Main features include graphical pipelining capabilities and data processing/analysis tools.• Conducted stakeholder interviews to inform a user-centric development process.• Worked alongside a development team to design, develop and launch a steel-thread application.
Aug 2020 - Aug 2021
Ar/Vr Solutions Development Intern
• Conceptualized and developed a Virtual Reality prototype for data visualization and analysis.• Research and implementation of VR-specific UI/UX concepts.• Conducted feasibility assessments for the Engineering Design Studio (EDS) in order to outline possible VR applications that the EDS would be capable of producing with current assets.
Jun 2020 - Aug 2020
Heat-Map Visualization And Modeling Tool (Hvmt) Development Intern
• Lead the design, development, and launch of the Heat-map Visualization and Modeling Tool (HVMT) – a Virtual Reality heat-map visualization tool for the Langley Research Center’s Engineering Design Studio.• Enabled user to visualize and analyze 3-Dimensional heat-map data in Virtual Reality.
Sep 2019 - Jun 2020
2 education records
Simon Aytes education
Master Of Science - Ms, Artificial Intelligence
Bachelor'S Degree, Computer Science
FAQ
Frequently asked questions about Simon Aytes
Quick answers generated from the profile data available on this page.
What company does Simon Aytes work for?
Simon Aytes works for KAIST AI.
What is Simon Aytes's role at KAIST AI?
Simon Aytes is listed as Graduate Research Assistant at KAIST AI.
What is Simon Aytes's email address?
AeroLeads has found 1 work email signal at @pentagroup.co for Simon Aytes at KAIST AI.
Where is Simon Aytes based?
Simon Aytes is based in Seoul, South Korea, Korea, Republic of while working with KAIST AI.
What companies has Simon Aytes worked for?
Simon Aytes has worked for Kaist Ai, Penta Group, York College Of The City University Of New York, The Wall Street Journal, and Nasa Langley Research Center.
How can I contact Simon Aytes?
You can use AeroLeads to view verified contact signals for Simon Aytes at KAIST AI, including work email, phone, and LinkedIn data when available.
What schools did Simon Aytes attend?
Simon Aytes holds Master Of Science - Ms, Artificial Intelligence from Korea Advanced Institute Of Science And Technology.
What skills is Simon Aytes known for?
Simon Aytes is listed with skills including Talkwalker, Data Science, Interdisciplinary Collaboration, Windows Os, Microsoft Powerpoint, Visual Studio, R (Programming Language, and Data Analytics.
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