Riya Divakaran

Jersey City, Nj,***** adyb5u@r.postjobfree.com 929-***-**** www.linkedin.com/in/riya-divakaran Highly motivated MS in Software Engineering student with expertise in Python, Java, SQL, HTML, CSS, and PHP. Passionate about machine learning and computer vision, adept at developing user-friendly applications to solve real-world problems. Strong problem-solving and communication skills with a commitment to delivering high-quality results. EDUCATION

Stevens institute of technology M.S in Software Engineering Sep 2022 - Present GPA: 3.2 Relevant Courses: Software testing and quality assurance, Engineering Programming: Python, Cost Estimation and Metrics, Fundamentals of quantitative software engineering, Software Requirements analysis and engineering, Software Architecture & Component-Based Design University of Mumbai, Pillai College of Engineering B.E in Computer Engineering May 2022 CGPA: 7.75 Relevant Courses: Open source technology lab (Python), Software Engineering, Web Designing, Object Oriented Programming Methodology

(JAVA), Data Structures, Analysis of Algorithm, Big Data, Data Mining and Warehousing, Machine Learning, Artificial Intelligence and Soft Computing, Natural Language Processing, Cloud Computing, Human Machine Interaction Lab, Mobile APP Development Lab, Digital Signal and Image Processing

SKILLS

● Programming Languages: Python, Java, JavaScript, SQL, HTML, R, CSS, PHP, C, C++

● Databases: MySQL,MS SQL Server, Snowflake, SQL Lite, Oracle, Teradata

● Analysis & Visualization: TensorFlow, OpenCV, MATLAB, Excel, Google Sheets

● Tools & Methodologies: Git, PyCharm, Anaconda, Eclipse, Jupyter Notebook, Linux (Ubuntu), Wireshark

● Core Competencies: Software testing and quality assurance, Software Requirements analysis and engineering, Test automation, Bug tracking and management, Test design and documentation, Agile methodologies, Object-Oriented Programming Methodology, Test execution and reporting, Defect analysis and resolution, Regression testing, Performance testing, Security testing, Usability testing, Data preprocessing, Feature extraction, Model evaluation,

PROFESSIONAL EXPERIENCE May 2021 - July 2021

Data Science Intern, The Sparks Foundation

● Worked on unsupervised learning and machine learning algorithms to create a project utilizing k-means clustering to analyze and categorize data from the iris dataset.

● Conducted data preprocessing, feature extraction, and model evaluation as part of the project.

● Collaborated with a team of 2 interns to develop the project.

● Completed the project within the allocated timeframe and achieved a 95% accuracy rate in clustering. ACADEMIC PROJECTS

● Real-time Sign Language Detection Model— Created a real-time sign language detection model using TensorFlow Object Detection, Python, OpenCV, and LabelImg.

● Real-time Gender Detection System— Developed a real-time gender detection system it’is a computer vision application that uses OpenCV, Python, and Tkinter to detect gender in real-time from a video stream.s

● Web Application for Online Mental Health Consultancy— Built a web application for online mental health consultancy using HTML, CSS, JavaScript, PHP, and MySQL.

● Web-Based School Management System— Developed a web-based application using Django framework and Python to manage school administration tasks such as student enrollment, attendance, and grade management. TECHNICAL PAPERS/PUBLICATIONS

● "Real Time Sign Language Detection," International Research Journal of Engineering and Technology (IRJET), Volume 9, Issue 3, March 2022, Riya Divakaran, Sneha Santoshkumar, Shruti Krishnakumar, Sukrishna Nair, Prof.Shweta Patil. https://www.irjet.net/archives/V9/i3/IRJET-V9I334.pdf CERTIFICATION

● Introduction to HTML5, University of Michigan, Coursera July 2021

● Programming Foundations with JavaScript, HTML and CSS, Duke University, Coursera June 2020

● Programming for Everybody (Getting Started with Python), University of Michigan, Coursera May 2020 TECHNICAL WORKSHOPS/WEBINARS

● IEEE Workshop on "Automate Things," March 2021.

● IEEE Workshop on "Robotics," August 2019

● IEEE Workshop on "Big Data," July 2019

● IEEE Workshop on "Advanced Web Development," March 2019

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