Simon Aytes

Simon Aytes Email and Phone Number

Graduate Research Assistant @ KAIST AI
Seoul, KR
Simon Aytes's Location
Seoul, South Korea, Korea, Republic of
Simon Aytes's Contact Details

Simon Aytes work email

Simon Aytes personal email

n/a
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"

Simon Aytes's Current Company Details
KAIST AI

Kaist Ai

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Graduate Research Assistant
Seoul, KR
Simon Aytes Work Experience Details
  • Kaist Ai
    Graduate Research Assistant
    Kaist Ai
    Seoul, Kr
  • Kaist Ai
    Graduate Research Assistant
    Kaist Ai Feb 2024 - Present
    Seoul, South Korea
  • Penta Group
    Data Scientist
    Penta Group Oct 2022 - Feb 2024
    New York, New York, United States
    • 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.
  • Penta Group
    Junior Data Scientist
    Penta Group Jan 2022 - Oct 2022
    New York, New York, United States
    • 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%.
  • Penta Group
    Data Science Associate
    Penta Group Sep 2021 - Jan 2022
    New York, New York, United States
  • York College Of The City University Of New York
    Researcher
    York College Of The City University Of New York May 2022 - Oct 2022
    New York, New York, United States
    • 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.
  • The Wall Street Journal
    Journo-Tech Fellowship
    The Wall Street Journal Aug 2021 - Dec 2021
    New York, New York, United States
    • 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.
  • Nasa Langley Research Center
    Development Intern
    Nasa Langley Research Center Aug 2020 - Aug 2021
    Hampton, Virginia, United States
    • 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.
  • Nasa Langley Research Center
    Ar/Vr Solutions Development Intern
    Nasa Langley Research Center Jun 2020 - Aug 2020
    Hampton, Virginia, United States
    • 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.
  • Nasa Langley Research Center
    Heat-Map Visualization And Modeling Tool (Hvmt) Development Intern
    Nasa Langley Research Center Sep 2019 - Jun 2020
    Hampton, Virginia, United States
    • 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.

Simon Aytes Skills

Talkwalker Data Science Interdisciplinary Collaboration Windows Os Microsoft Powerpoint Visual Studio R (Programming Language Data Analytics Information Extraction Overleaf Microsoft Office Latex Microsoft Word Data Structures Programming Microsoft Excel Foreign Languages Microsoft Outlook Time Management C++ Sql Python Unity3d Teamwork User Interface Design Analytical Skills Problem Solving Front End Development Virtual Reality Development C# Prototyping

Simon Aytes Education Details

Frequently Asked Questions about Simon Aytes

What company does Simon Aytes work for?

Simon Aytes works for Kaist Ai

What is Simon Aytes's role at the current company?

Simon Aytes's current role is Graduate Research Assistant.

What is Simon Aytes's email address?

Simon Aytes's email address is si****@****roup.co

What schools did Simon Aytes attend?

Simon Aytes attended Korea Advanced Institute Of Science And Technology, City University Of New York-Herbert H. Lehman College.

What skills is Simon Aytes known for?

Simon Aytes has skills like Talkwalker, Data Science, Interdisciplinary Collaboration, Windows Os, Microsoft Powerpoint, Visual Studio, R (Programming Language, Data Analytics, Information Extraction, Overleaf, Microsoft Office, Latex.

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