Arya S. Email & Phone Number

Kirkland, WA, US

• Designed and implemented data-driven survey frameworks to transform qualitative feedback into measurable KPIs, enabling stakeholder alignment and showcasing program ROI.
• Spearheaded the analysis of engagement, emotional intelligence, and leadership metrics, delivering actionable insights that enhanced productivity, inclusion, and team collaboration.
• Developed scalable evaluation models and presented impact-driven results through compelling visualizations, driving strategic organizational improvements.

Paid

• Led ML research, developed 10+ major predictive machine learning models including XGBoost and Neural Networks in Python with large NBI datasets under U.S. D.O.T. to predict bridge characteristics better aligned with.
• Improved model accuracy by 3-15% through extensive database cleaning and feature engineering leveraging Python and machine learning libraries such as TensorFlow, NumPy, and Scikit-Learn.
• Utilized NLP embeddings (BERT and XLNet) to better analyze textual data to improve model performance by 7%.

• 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.

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

• 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.

Bachelor Of Sciences - Computer Science, Computer Science

Activities: • Women in Computing Outreach Director Head • Interactive Intelligence Course Education Co-Lead & Administrative Team (Former.

Education record

Study abroad exchange program in Kyoto, Japan Relevant Coursework: International Finance, Intercultural Communication and Leadership

High School, Cs/Business

Activities and Societies: Business Club Lead, South Asian Middle/High School Affinity Group Lead, Student Ambassador, Varsity Public Forum.

Education record

Activities and Societies: Varsity Public Forum Debate