DEEP KOTHARI

Los Angeles, CA ad04eu@r.postjobfree.com LinkedIn +1(201) 626–0701

EDUCATION

University of Southern California, Los Angeles Aug 2023 – Jun 2025 Master of Science in Computer Science (Data Science Specialization) Courses: Analysis of Algorithms, Database Systems

University of Mumbai, India Aug 2019 – May 2023

Bachelor of Engineering in Computer Engineering GPA 9.73/10 Relevant Courses: Mathematics, Programming for Problem Solving, Data Structures, Database Management System, Design and Analysis of Algorithms, Operating Systems, Machine Learning, Data Mining, Data Analytics, Data Science TECHNICAL SKILLS

• Programming languages: Python, SQL

• Tools and Technologies: Tableau, Git, Azure, MySQL, PHP, Docker, Kubernetes

• Frameworks: Flask, Django

• Libraries: Scikit-learn, TensorFlow, Matplotlib, Keras, Pandas, NumPy, PyTorch PROFESSIONAL EXPERIENCE

Exposys Data Labs Remote

Data Science Intern Mar 2022 – Apr 2022

• Spearheaded a mission-critical project focused on advancing healthcare through early diabetes detection.

• Leveraged a diverse toolkit of machine learning algorithms and statistical techniques to analyze extensive patient data.

• Collaborated closely with interdisciplinary teams to ensure seamless integration of the predictive system into clinical workflows and achieved an accuracy of 91% utilizing ensemble techniques. Shivneel Technologies LLP Remote

Member of Technical Staff (Software Intern) Sep 2021 – Oct 2021

• Played a pivotal role in the development of the cybersecurity product 'SecOps,' contributing to its successful launch and functionality optimization.

• Initiated client engagements proactively to understand their distinct cybersecurity needs, delivering customized solutions that surpassed expectations.

• Utilized Python, HTML5, CSS3, and JavaScript to boost system performance by 20% and streamline issue resolution, resulting in a 30% reduction in resolution time.

Verzeo Edu Tech Remote

Machine Learning Intern May 2020 – Jul 2020

• Designed and developed cutting-edge Machine Learning applications, precisely aligning them with project specifications and objectives.

• Conducted in-depth research to identify and select the most suitable Machine Learning algorithms and tools for various projects. Implemented algorithms such as Random Forest, Gradient Boosting, and K-Means clustering to address specific problem domains effectively.

• Executed comprehensive statistical analyses, devised test plans, and conducted rigorous testing procedures. ACADEMIC PROJECTS

Music Recommender System using Facial Recognition Features Python, Deep Learning

• Developed a real-time mood-based music player with 96.6% training and 90% validation accuracy, utilizing facial recognition for mood detection and song recommendations.

• Successfully addressed overfitting challenges by implementing various Convolutional Neural Network (CNN) architectures, coupled with data augmentation and regularization techniques resulting in a highly accurate and generalizable mood detection model.

• Designed and styled an intuitive, visually appealing music player frontend with ReactJS and Tailwind CSS, implementing efficient state management through React Redux for enhanced data flow and responsiveness. Potato Leaf Disease Detection using Deep Learning Python, Deep Learning, Flask

• Introduced an innovative Deep Learning system for precise classification of two potato plant diseases based on leaf conditions, achieving an exceptional 94.5% accuracy rate.

• Proficiently trained dataset with diverse CNN models: GoogLeNet, ResNet50, VGG16, and a custom CNN. Our custom architecture excelled, showcasing superior accuracy and efficiency. LEADERSHIP & EXTRACURRICULAR ACTIVITIES

• Achieved first place in TCET's fiercely competitive 100-Hour ML Hackathon and emerged as a Smart India Hackathon 2022 semi-finalist among thousands of participants.

• Volunteered at DLLE in 2020-2021, tutoring underprivileged children, yielding a 20% academic improvement.

• Served as a Core Member at GDSC-TCET (2021-2022), driving impactful initiatives in a dynamic 15-member team.

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