Arya Sanjay

Experience

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  Bio Integrative Health Center

  Jun 2021 - Sept 2021

  App Development Intern

  • Researched step count to user health correlation. • Developed and designed mockup of IOS app baseline structure to track user step data anomalies in Python via Apple Health app.

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  CEREBRUMX

  Jun 2022 - Aug 2022

  Machine Learning Engineer Intern

  • Implemented linear regression models to predict cars prices using age, brand, and mileage in Python. • Optimized algorithms with iterative training.

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  Eastside Preparatory School

  Sept 2022 - Jun 2023

  • Conducted interviews with people involved in the intersection of AI, homelessness, and ethics. • Built machine learning model in R based on predictive factors, using Random Forest and Logistic Regression, that would help shelters best aid people experiencing chronic homelessness. • Researched how AI and machine learning can be applied ethically in medicine, business, law, and the workplace. • Implemented linear regression, XGBoost, and other machine learning models to explore different datasets in New York, Texas, and Washington to explore the impact of housing resources on the homelessness crisis.• Developed Shiny App. After the user chooses the rate of people successfully transitioning out of homelessness, my application recommends what type of homeless shelter/program one should use to achieve it.

  • Applications of Ethical AI in Homelessness Senior Thesis

    Mar 2023 - Jun 2023

  • Ethics of Artificial Intelligence Independent Study

    Dec 2022 - Mar 2023

  • Trends in Homelessness Using Data Science Independent Study

    Sept 2022 - Dec 2022
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  Janie and Jack

  Jul 2023 - Sept 2023

  Sales Associate

  • Generated $8500+ in revenue through selling 220+ units, showcasing strong sales skills and ability to meet and exceed targets consistently.• Delivered outstanding customer service by actively listening to customer needs, curating personalized outfits, and sharing fashion expertise, enhancing the overall shopping experience.• Collaborated seamlessly with team to maintain a visually appealing store, contributed to a positive work environment through open communication and valuable feedback, and showcased strong teamwork and interpersonal skills. Show less

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  University of Washington

  Jun 2024 - now

  ML Undergraduate Research Assistant