Shril Patel
Public Events Committee Chairman at Rutgers Mobile App Development- Claim this Profile
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Bio
Credentials
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Seal of Biliteracy - Spanish
State of New JerseyDec, 2019- Nov, 2024
Experience
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Rutgers University Mobile App Development
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United States
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Software Development
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1 - 100 Employee
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Public Events Committee Chairman
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Mar 2022 - Present
- Organizing events for 150+ club members. - Coordinated efforts with IOS/Android Mentors to organize workshops teaching students various topics like React JS and Android Studio - Organizing events for 150+ club members. - Coordinated efforts with IOS/Android Mentors to organize workshops teaching students various topics like React JS and Android Studio
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Enactus
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United States
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Non-profit Organizations
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700 & Above Employee
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Web/Mobile App Development Team Member
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Mar 2021 - Present
- Worked with the New Beginnings Project to develop a platform dedicated to reducing recidivism rates in the local community. - Developed a website and a mobile app that enables reentering citizens to access resources and mentorship opportunities with ease. - Integrated a resume parser with NLP into the application to facilitate more suitable matches for individuals looking for a job. - Worked with the New Beginnings Project to develop a platform dedicated to reducing recidivism rates in the local community. - Developed a website and a mobile app that enables reentering citizens to access resources and mentorship opportunities with ease. - Integrated a resume parser with NLP into the application to facilitate more suitable matches for individuals looking for a job.
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InquisitHealth
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United States
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Hospitals and Health Care
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1 - 100 Employee
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Machine Learning Intern
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Jun 2022 - Aug 2022
- Developed a Chatbot service that utilized Sentiment Analysis techniques to find more suitable treatment for patients. - Created an end-to-end pipeline to efficiently gather and label data for training Natural Language Processing models and achieved a 96% accuracy on new data from patients. - Worked with PHP and Python to develop the codebase of the company with best practices. - Integrated machine learning APIs such as Amazon Comprehend to deploy a voicemail detection system. - Developed a Chatbot service that utilized Sentiment Analysis techniques to find more suitable treatment for patients. - Created an end-to-end pipeline to efficiently gather and label data for training Natural Language Processing models and achieved a 96% accuracy on new data from patients. - Worked with PHP and Python to develop the codebase of the company with best practices. - Integrated machine learning APIs such as Amazon Comprehend to deploy a voicemail detection system.
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Education
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Rutgers University–New Brunswick
Minor, Data Science -
Rutgers University–New Brunswick
Bachelor of Science - BS, Computer Science -
Bridgewater-Raritan High School
High School Diploma