Software Engineering Machine Learning

CATHY CHRISTEEN MANCHALA

+*(***) *** - **** **************@*****.*** LinkedIn Dallas, Texas

EDUCATION

Master of Science, Computer Science Aug 2022 – May 2024 University of Texas at Arlington Arlington, United States Coursework: Design and Analysis of Algorithms, Database Systems, Data Mining, Data Analysis and Modelling Techniques, Artificial Intelligence, Machine Learning, Software Engineering: Management, Maintenance, and Quality Assurance, Software Engineering: Analysis, Design, Testing, Cloud Computing and Big Data, Advance topics of Software Engineering, Computer Networks, Computer Architecture. Bachelor of Engineering, Computer Science and Engineering Graduated with Distinction Jul 2016 – May 2020 Vidya Jyothi Institute of Technology Hyderabad, India RELEVANT SKILLS

Languages and Databases: Java, Python, R, C, C++, SQL (MySQL, SQL server, Oracle, DB2, SSIS, .Net, T-SQL) Tools and Technologies: Git, VS Code, Azure, Azure DevOps, Apache, Eclipse, ETL, Mongo DB, Spark, Hadoop, Azure Databricks, Azure Data Factory, Docker, PowerBi, Tableau, Excel Web Technologies: JavaScript, HTML5, CSS3, Bootstrap, Django, Flask, React.js, Tailwind CSS, Next.js, AngularJS, jQuery EXPERIENCE

Programmer Analyst, Cognizant Technological Solutions Pvt. Ltd, India Dec 2020 – Jul 2022

• Optimized the front-end codebase by 20%, boosting code reusability, readability, and increasing user satisfaction by 25%.

• Skilled in object-oriented design with experience in Java frameworks such as DropWizard, Spring, and Hibernate to create robust, scalable backend solutions.

• Adept at handling databases like DB2, Oracle, Cassandra, and MongoDB, and proficient in configuring CI/CD pipelines with Git for streamlined integration and deployment.

• Performed comprehensive analysis and data cleanup on budget reports across multiple regions, reducing manual entry errors by 95%.

• Conducted a thorough analysis and optimization of a 36-month data migration process, ensuring 80% data consistency between legacy and current databases.

• Developed innovative methods for root cause analysis, cutting ticket resolution time by 30%, and contributed to test script creation, ensuring complete test coverage.

Programmer Analyst Trainee, Cognizant Technological Solutions Pvt. Ltd, India Aug 2020 – Dec 2020

• Enhanced performance by 20%, reduced load times by 15%, and achieved a 25% increase in user engagement through code refactoring and asset optimization.

• Improved test coverage by 30%, reduced bugs by 40%, and actively collaborated in Agile Scrum methodologies to boost HTML/CSS/JS application performance by 25%.

Software Intern, TCS iON May 2020 – Aug 2020

• Project - Automate Detection of Different Emotions from Paragraph and Predict Overall Emotion.

• Developed a system using advanced NLP and machine learning to detect and predict overall emotions in text. Used deep learning techniques, revolutionizing data extraction from identity documents and optimizing the KYC process by 70%, thereby accelerating customer verification timelines.

• Streamlined the critical KYC feature for this fintech company, slashing manual workload by 65%.

• Achieved high accuracy by 50%, providing valuable insights for sentiment analysis and customer feedback. TECHNICAL PROJECTS

Automated Prediction of Cyberbullying on social media Using Process Mining Techniques (UTA) Apr 2024

• Designed and implemented an automated system to predict cyberbullying on social media by analyzing user reviews and tweets. The system integrates sentiment analysis, data mining, and business process analysis to enhance data sorting efficiency.

• Employed cost-effective, cloud-based big data storage solutions to facilitate forensic investigations and support large-scale data handling. Achieved 80% accuracy in predictions by validating preprocessing steps, optimizing models, and incorporating callback functions during training.

Cloud-Based Database Car Rental Service (UTA) Apr 2024

• Deployed a cloud-based car rental app with dynamic pricing and budget-driven car selection, enhancing user experience.

• Worked in Agile Scrum teams to deliver high-quality software on time.

• Improved system reliability by 18% and response time by 40% through RESTful API implementation in Python and Go, containerized with Docker.

Makers Market Place: Crafting Seamless eCommerce website (UTA) Dec 2023

• Created and managed a user-friendly eCommerce site with secure payment gateways, optimized product listings, and real-time inventory tracking.

• Implemented effective SEO strategies and personalized user experiences for enhanced engagement.

• Focused on mobile optimization and integrated third-party services while ensuring robust customer support and compliance with security standards.

Lane Detection using Adaptive Threshold Segmentation Aug 2023

• Developed a lane detection system using adaptive threshold segmentation, enhancing real-time road lane identification. The project focused on dynamically adjusting thresholds based on varying lighting conditions, improving detection accuracy and reliability.

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