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Mental Health Machine Learning

Location:
St. Louis, MO
Posted:
April 14, 2025

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Resume:

Kushal Shrestha

+1-314-***-**** **************@*******.*** linkedin.com/in/kushal-shrestha github.com/Kushal-Shr Education

Webster University St. Louis, MO

Bachelor of Science in Computer Science with an emphasis in Machine Learning GPA: 4.0 - Dean’s List Experience

React JS Intern March 2024 - June 2024

Amigo Groups Remote

• Developed a React.js website, attracting 300+ daily visitors by optimizing website performance.

• Enhanced front-end skills, boosting website activity through effective content strategies.

• Published 3 daily blog posts, boosting engagement through timely content updates from writers. Website and Social Media Management Intern September 2023 - March 2024 Avenues Khabar Kathmandu, Nepal

• Reduced website loading times by 30%, enhancing user experience through optimization.

• Boosted social media engagement by 40% by posting 10+ content pieces daily.

• Published multimedia content, engaging a diverse audience by meeting editorial standards. Private Tutor November 2023 - January 2024

Self Employed Kathmandu, Nepal

• Tutored a senior high school student in Python, Data Analysis, and MySQL.

• Achieved a 35% grade increase by implementing tailored instruction. Projects

Rant & Heal Next JS, Clerk, Gemini AI, Vapi, Tailwind CSS, Shadcn, Firebase Source Code

• Built the frontend using Next.js and Tailwind CSS for a calm, responsive user experience.

• Integrated Gemini API and Vapi to enable real-time AI voice conversations.

• Used Clerk for authentication and synced user data with Firebase for secure storage.

• Implemented an appointment booking system allowing users to schedule real therapy sessions. ML Showcase Website Python, JavaScript, React, Streamlit, HTML, CSS Source Code

• Developed a website to showcase ML models (Diabetes Predictor, Mail Classifier, Sales Predictor).

• Built frontend using React JS, HTML, and CSS for a responsive user interface.

• Integrated Python-based ML models with the frontend for live demonstrations.

• Deployed models using Streamlit for real-time predictions and user engagement. Diabetes Predictor Python, Scikit-Learn, Pandas, Matplotlib, Streamlit, Logistic Regression Source Code

• Developed a ML model using Prime Indian Diabetes dataset with a Logistic Regression model.

• Analyzed data with Pandas, Matplotlib, and Seaborn for model insights.

• Deployed the predictor through Streamlit for live use and demonstrations.

• Designed an interactive interface using Streamlit for real-time predictions. Certifications

Broadway Infosys Kathmandu, Nepal

Data Science with Python - Python, Pandas, NumPy, Matplotlib, Statistics, Scikit-learn Technical Skills

Python, JavaScript, C/C++, SQL, React, Next js, Node.js, Express.js, Tailwind CSS, Streamlit, Git, AWS Cloud, Gemini AI, Pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow, Firebase Competitions

Webster Hackfest 2025 Best Overall Project Project Link Webster University

• Developed Rant and Heal, a mental health support website featuring a real-time AI voice therapist using Next JS, Gemini, Vapi, Clerk, and Firebase.

PickHacks 2025 Community Vote Winner Project Link Missouri S&T

• Developed a real-life Among Us game using React Native with NFC-based eliminations, real-time location tracking, and group voice chat in 36 hours.

Byte Bash 2.0 1st Place Webster University

• Secured first place in a competitive coding competition hosted by Webster University.



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