Open to opportunities

John F Aradan

@johnfaradan

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Researcher and AI enthusiast with a passion for machine learning and data analysis.

India

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What I'm looking for

Seeking a challenging role that leverages my machine learning and data analysis skills to drive innovation and growth in a dynamic organization.

I am a highly motivated and detail-oriented individual with a strong background in computer science and engineering. With a solid foundation in machine learning, data analysis, and programming languages, I am confident in my ability to drive innovation and growth in any organization.

Throughout my academic and professional journey, I have developed a passion for machine learning and its applications in various fields. My research experience has equipped me with the skills to design, develop, and deploy machine learning models that can solve real-world problems.

I am a team player with excellent communication and leadership skills, having held various leadership positions in student organizations and societies. I am excited to leverage my skills and experience to make a meaningful impact in the industry.

Experience

Current

PennApps Hackathon Participant - Hacker

Current

University of Pennsylvania

Dec 2022 - Present (1 year 7 months)

Developed a web application for classifying dermatology-related diseases using image classification with the random forest model. Integrated patient medical history to predict disease severity. Utilized InceptionResNetV2 for deep learning-based analysis of disease growth and spread regions. Won prizes for Natural Language Processing using Metaphor API and Image Processing tracks

Web Applications Classification InceptionResNetV2 Deep Learning Natural Language Processing

President

Enigma Technical Society

Dec 2022 - Dec 2022 (0 months)

Completed Relevant coursework and programs in the field of Machine learning. Inaugurated new term as president and formed new board with goal of project-based work. Conducted and coordinated multiple events such as: Collage Orientation, Tech fest and Workshop. Undertook project: “Study and Classification of Tumor using Machine Learning technologies”

Machine Learning Events Classification

AI Intern

IBM Skillsbuild Online

Dec 2022 - Mar 2023 (3 months)

Developed machine learning methods for project-based assessment to evaluate mental health of patients. Trained supervised models using acquired data, including: SVM, Decision Tree, Random Forest.

Machine Learning Mental Health Decision Trees

Invited Reviewer

Springer Nature Online

Dec 2022 - Nov 2022 (-1 years 11 months)

Got invited to review manuscript on prediction of heart disease using machine learning Algorithms.

Manuscripts Machine Learning

Researcher

Stanford University

Mar 2023 - Nov 2022 (-1 years 8 months)

Utilized MATLAB to segment out lesion areas from eye scans, creating separate folders for inactive and active lesions with corresponding labels and binary masks. Trained transfer learning models based on UNet architecture, including VGG16, InceptionNet, and ResNet. Implemented preprocessing techniques such as converting to grayscale, histogram equalization, and resizing images. Compared trained mo

Matlab Segmentation