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Mental Health Tech Market Researcher
Blue Guardian is a mental health early warning system for families. We developed an innovative solution that uses AI to detect mental health issues early for kids. We want to better understand our target market and audience as well as the overall market so we can uniquely position ourselves within our industry. The research will include: Target market research Industry size and market potential Competitive landscape Strategic positioning of our brand
Mental Health Tech Sales Intern
Blue Guardian is a mental health early warning system for families. We developed an innovative solution that uses AI to detect mental health issues early for kids. We want to better understand our target market and audience as well as the overall market so we can uniquely position ourselves within our industry. The research will include: Lead Generation Industry size and market potential Competitive landscape Strategic positioning of our brand
Mental Health App
Students will contribute to the development of AI-driven technology for kids that will allow parents and kids to identify potential mental health concerns in the childβs texts and content. Blue Guardian is a Mental Health Keyboard that acts as an early detection warning system for families. We will also connect parents and their kids with Mental Resources to keep them safe online.
Data Engineering Internship
As a Data Engineering Intern, you will play a crucial role in refining and updating our current Azure data pipeline and CI/CD pipeline to enhance real-time data flow. This position offers a unique opportunity to work with advanced cloud technologies and contribute to meaningful projects.
Work experience
Data Collection Engineering intern
Blue Guardian
March 2023 - June 2024
Developed Python scripts using either APIs of social media platforms (Reddit, TikTok) or Selenium to collect and process data for advanced machine learning models.
Utilized Python libraries including NumPy and Pandas for data manipulation and analysis, CSV for data storage, and Futures for concurrent script execution.
Employed data processing techniques to clean and preprocess raw data, ensuring suitability for machine learning model training.