ANUJA HAIBATRAO PATIL

864-***-**** adwe2z@r.postjobfree.com LinkedIn - linkedin.com/in/-anuja-patil Education Clemson University Aug’22-Present

Master of Science in Computer Science

Courses: Deep Learning in Computer Vision, Distributed and Cluster Computing, Software Design, Software Development Technologies, Applied Data Science and Distributed Denial of Sevice Attacks. C-DAC ACTS, Knowledge Park, Bangalore, India Aug’19-Feb’20 PG Diploma in Big Data Analytics

Shivaji University, Kolhapur, India June’15-July’19 Bachelor of Electronics and Telecommunication Engineering Experience Test Engineer, Happiest Minds Technologies Aug’20 - Jun’22

• Worked on preparation of Test cases based on the requirement, Test case execution and bug reporting

• Automated the test suite for a CRM application using Selenium WebDriver, Core Java, Maven, and TestNG, resulting in a 60% reduction in execution time.

• Wrote over 100 scripts to automate test cases using Java, Selenium and Serenity.

• Did UI automation using Selenium Webdriver with Java and API automation with Rest Assured.

• Implemented selenium framework to create test cases that detected 10 major and many minor bugs.

• Performed functional, regression testing, and data migration testing including testing of web services using Postman, to ensure the quality and stability of the application. Projects Shoot At Sight, Software Design, Clemson Aug’22-Dec’22

• Designed and developed a 2D shooting game using Tkinter and Pygame.

• Implemented the Singleton and Bridge design patterns to accelerate the development process and improve game flexibility and reusability.

• Created a leaderboard to track and display the 5 highest scores of 5 different players, promoting replayability and competition among players.

Generating Data using AI techniques, Deep Learning in Computer Vision, Clemson Aug’22-Dec’22

• Implemented and compared various Variational Autoencoders (VAEs) and Generative Adversarial Networks

(GANs), including FC-GAN, LS-GAN, DC-GAN, FCVAE, and CVAE to generate new data.

• Evaluated the performance of the implemented models using the Frechet Inception Distance (FID) metric, which measures the quality of generated images.

• Achieved an accuracy of 70% on VAEs and 65% on GANs in generating novel images. Video Captioning, C-DAC Final Diploma Project Nov’19-Feb’20

• Utilized OpenCV library to extract key-frames of a video.

• Extracted visual features of key-frames using the pre-trained ResNet50 and then utilized LSTM to generate the captions.

• Created a video by stitching the frames and captions together using OpenCV at the speed of 1 fps. Health Service Robot (HSR), Undergraduate Final Project Aug’18-Jan’19

• Proposed primary check-up facility that includes checking body temperature and oxygen level in the blood.

• Implemented a facial recognition system using OpenCV which helps HSR to ensure that the person is a family member.

• Utilized google text-to-speech and speech-to-text converter to make communication interactive. Skills Programming Languages Python, C++, Java.

Tools Hadoop, Apache Spark, SQL, Linux, Jupyter notebook, PyTorch, Pandas, Matplotlib, Selenium, Serenity, Cucumber, Eclipse, Visual Studio. Certifications • CS1301xIII: Computing in Python III: Data Structures (edX) Certificate

• Machine Learning (Coursera) Certificate

Achievements

• Won Star Performer Award in 2021, Agile Award in 2021 and Insta Award in 2022 from Happiest Minds.

• Presented Health Service Robot system at ETRON 2K19 event in RIT, India.

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