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kushangi patel

Maryland, United States adwm86@r.postjobfree.com 301-***-**** http://www.linkedin.com/in/kushangi-patel-762b46170 SUMMARY

As an enrolled student, I am a motivated and enthusiastic learner with a strong academic record and a passion for pursuing excellence in my chosen field. Through my coursework, internships, and extracurricular activities, I have developed a range of skills that make me a valuable addition to any team. These include critical thinking, problem-solving, time management, and communication. I am also proficient in a variety of software programs and technologies, including C, C++, HTML, CSS, SEO,etc. I am eager to apply my skills and knowledge in a professional setting, and I am committed to contributing to the success of the organization I work for. I am a quick learner and thrive in fast-paced environments, and I am excited about the opportunity to take on new challenges and grow both personally and professionally.

EXPERIENCE

machine learning intern

•As an intern, I have worked closely with the experienced data science and machine learning team to learn about and develop cutting-edge models for real-world applications. I was involved in every aspect of the machine learning pipeline, from data cleaning and preprocessing to model training, testing, and deployment.

• During my internship, i have gained hands-on experience with state-of-the-art tools and techniques, such as Python, TensorFlow, Keras, and other machine learning libraries. I also had the opportunity to work on challenging projects and solve real-world problems in domains such as image classification, natural language processing, and predictive analytics.

• As a Machine Learning intern at Verzeo Edutech, I was a part of a dynamic and collaborative team that valued creativity, innovation, and continuous learning. They believe in providing their interns with meaningful work and mentorship opportunities to help us interns develop our skills and advance our careers.

PROJECTS

Human emotion recognition system

Gandhinagar Institute of Technology • January 2022 - April 2022

• A human emotion recognition system is a software-based project that has the potential to revolutionize various fields, including psychology, marketing, and entertainment. By using computer vision and machine learning techniques, this system is designed to detect and classify human emotions based on facial expressions in real-time.

• The system captures live video of a person's face and applies computer vision algorithms to identify and track facial landmarks and expressions. Machine learning models are then used to analyze the facial features and classify them into different emotions such as happiness, sadness, anger, and surprise. To train these models, a large dataset of annotated facial expressions is required, which can be created by recording video of individuals expressing different emotions and annotating the facial expressions with the corresponding emotion labels.

• The applications of a human emotion recognition system are vast and diverse. In psychology, it can be used to study emotional responses to different stimuli, providing insight into how individuals react to different situations. In marketing, it can help companies understand how consumers react to their products and services, improving advertising and product design. In entertainment, it can be used to create more immersive and interactive experiences, such as video games and virtual reality environments. EDUCATION

Masters in Cybersecurity

University of Maryland, College Park • Maryland, USA • 2024 Bachelor of Engineering

Minor in Information Technology • Gandhinagar Institute of Technology • Gandhinagar, India • 2022 • 3.85GPA CERTIFICATIONS

Prefect for C & C++

Tops Technologies • 20219

certified in c & C++

SKILLS

Front end: javascript, HTML, CSS, React, Web Development, Web design, Bootstrap, version control, debugging, SEO Verzeo Edutech February 2022 - May 2023, Banglore, India