I am Drashti Patel, a dedicated and passionate computer science graduate student currently pursuing my MS in Computer Science at Purdue University with a perfect GPA of 4.0. My academic journey has been enriched with coursework in data structures, algorithms, deep learning, NLP, software engineering, human-computer interaction, and ethical AI. I also hold a Bachelor of Technology in Computer Science and Engineering from CHARUSAT University, India, where I graduated with distinction.
Throughout my academic and professional career, I have gained hands-on experience in software engineering, machine learning research, and data analysis. I have worked as a Graduate Teaching Assistant at Purdue University, where I instruct undergraduate students in Java programming and manage lectures and classroom activities independently. My role has strengthened my communication and leadership skills, as well as my ability to engage students in complex topics such as ethics and technology.
I have also interned as a Software Engineer at Project Exploration in Chicago, developing a dockerized MERN stack inventory management system and supporting backend applications in a production environment. Additionally, I contributed as a developer at CentuariVision in Canada, building AI-powered workflows for real-time visual data analysis in the architecture, engineering, and construction industry.
My research experience includes machine learning projects focused on autism spectrum disorder classification and environmental sound classification, with published papers and conference presentations. I have developed deep learning models achieving high accuracy and robustness, demonstrating my strong analytical and problem-solving abilities.
Beyond academics and research, I have worked as a data analyst and software engineering intern in India, gaining practical exposure to .NET technologies, microservices, and business analytics. I am proficient in multiple programming languages and frameworks, including Python, Java, C++, React, TensorFlow, and PyTorch, and hold certifications in SAP Analytics, NVIDIA DLI, and Cyber Security.
I am also actively involved in extracurricular activities, serving as Secretary of the Indian Student Association at Purdue University and participating in AIESEC, where I developed leadership and collaboration skills on a global platform. I am eager to leverage my technical expertise, research background, and leadership experience to contribute effectively in software engineering, machine learning, or data science roles.
GPA: 4.0/4.0; Coursework: Data Structures & Algorithms, Applications of Deep Learning, NLP, Software Engineering, Human Computer Interaction, Ethical AI
GPA: 9.76/10.0
Instructor for weekly lab sessions for CS-16000 Introduction to Computer Science (Java), guiding undergraduates through Java programming fundamentals, debugging, and applied problem-solving. Served as Instructor of Record for CS 30600, managing lectures, classroom activities, grading, and student engagement in discussions on ethics, technology, and society.
Developed a dockerized MERN stackβbased Inventory Management System and supported backend applications in a production-like environment, monitoring system logs to identify and resolve issues.
Built AI-powered workflows supporting real-time visual data analysis for quality and safety assurance in the AEC industry.
Conducted comprehensive data mining and analysis of enrollment trends, professor demographics, and academic performance across Southern Indiana universities followed by research-specific study.
Developed and evaluated deep learning (DCNN) models for healthcare screening achieving 98.3% accuracy in autism spectrum disorder detection. Developed a stacked CNN for environmental sound classification achieving 93.8% accuracy on UrbanSound8K dataset.
Collaborated with key business stakeholders to deliver insights, business objectives, and production support enhancing growth opportunities by 21%, improved report accessibility and assisted in data structuring.
Implemented applications using .NET technologies, explored microservice architecture, and gained practical exposure to industrial practices.
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