Mishal Amrish Patel
Los Angeles,CA
Summary
Acquired analytical skills in fast-paced environment, focusing on data-driven insights and trend identification. Developed expertise in statistical analysis and data visualization tools to support decision-making processes. Seeking to transition into new field, leveraging analytical capabilities and technical acumen to drive success.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Data Analyst Intern
Dosepack Ltd.
12.2022 - 07.2023
- - Developed an automated insurance adjudication system, reducing manual processing time by 40%.
- - Built a machine learning-based fraud detection system achieving 92% accuracy.
- - Engineered GPU-accelerated K-Modes clustering library to efficiently classify medical claims.
- Remote
Education
Bachelor of Science - Computer Science
Pandit Deendayal Energy University
Gandhinagar,India05-2023
Master of Science - Computer Science
University of Southern California (USC)
Los Angeles, CA05-2025
Skills
- Programming Languages: Python, C, JavaScript, Java
- Frameworks/Libraries: TensorFlow, PyTorch, Scikit-Learn, React, Nodejs, Flask
- Web Technologies: HTML5, CSS3, Bootstrap, REST APIs
- Databases: MySQL, MongoDB, PostgreSQL
- Machine Learning & AI: KNN, Logistic Regression, Random Forest, CNN, RNN, Transfer Learning Git, Docker, AWS, Google Cloud, Natural language processing, Deep learning, Data screening,Text analytics, Machine learning
Certification
- Complete Data Science Bootcamp, Udemy: Statistics, Advanced Python, Machine Learning, Deep Learning.
- Complete Web Development Bootcamp, Udemy: JavaScript, React, Node.js, Web3 Development.
Timeline
Data Analyst Intern
Dosepack Ltd.
12.2022 - 07.2023
Bachelor of Science - Computer Science
Pandit Deendayal Energy University
Master of Science - Computer Science
University of Southern California (USC)
Publications
- Effective Heart Disease Prediction using Machine Learning Algorithms (Under Review, Elsevier’s Intelligent Medicine)
- Achieved 90.16% accuracy using KNN and 83.16% with Logistic Regression.
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