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Title Fullstack Developer
Target Location US-OH-Cincinnati
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                                               Candidate's Name
                            PHONE NUMBER AVAILABLE         # EMAIL AVAILABLE           linkedin      github
  Accomplished and versatile engineer seeking challenging roles. Strong technical foundation and a drive for innovation. Committed to
           continuous learning and staying abreast of industry trends. O ers a potent combination of skills and experience.

Education
  University of Cincinnati                                                                                                  OH, US
  Master of Science in Information Technology (CGPA: 4.00 / 4.00)                                               Jan 2023 - Apr 2024
  VNR Vignana Jyothi Institute of Engineering and Technology                                                                 TG, IN
  Bachelor of Technology in Information Technology (CGPA: 9.08 / 10.00)                                         Aug 2017 - Jul 2021
Technical Skills
  Programming Languages: C/C++, Python, JavaScript, TypeScript, Java, SQL
  Web Technologies and Databases: HTML, CSS, J2EE, System Architectures, MySQL, PrismaORM, SwaggerAPI
  Packages and Frameworks: Scikit-Learn, NumPy, SciPy, Pandas, NLTK, OpenCV, ReactJS, NodeJS, NestJS, ExpressJS, Spring MVC,
  Spring Boot, Hibernate, Spring JPA, Spring Security
  Developer Tools: Anaconda Navigator, Spyder, Jupyter, Netbeans, Visual Studio Code, IntelliJ, GitHub, ClickUp, Microsoft O ce
  Core Competencies: Agile/Scrum methodologies, Coding and Debugging, Data Visualization, Predictive Analysis, Clustering, CI/CD
  exploiting Jenkins, Jira, building RESTful APIs, testing with JUnit, Jest, SonarQube

Experience
  University of Cincinnati                                                                                                   OH, US
  Fullstack Developer Intern                                                                           Feb 2024 - Apr 2024
        Worked on a startup project, a dynamic single-page web app for ITLC overseeing operations, schedules, appointment

        bookings, to provide 90% or above user satisfaction. Utilizing Figma, ReactJS, NestJS, NodeJS, SwaggerAPI, Prisma,
        MySQL, unit tests with Jest, SonarQube, GitHub, and ClickUp for version control and collaborative development.
  Program Coordinator                                                                               Jan 2024 - Apr 2024
       Overhauled IT learning center policies, collaborated with management, optimized daily operations, enforced

       productivity strategies, and led a team of 60+ Graduate Teaching Assistants.
  Graduate Teaching Assistant                                                                        Jan 2023 - Dec 2023
       Orchestrated and led 15+ IT industry expert-led seminars, optimizing skill development for students; directed more

       than 200+ students on their hands-on projects in machine learning, static web applications, and WordPress blogging,
       enhancing practical knowledge and application. Received academic achievement award for exceptional work and
       performance.
  Tata Consultancy Services                                                                                                    TG, IN
  Systems Engineer                                                                                   Jul 2021 - Dec 2022
       Collaborated with Ericsson, focusing on 5G New Radio development, C and C++ for coding, Python for testing, and

       accomplishing Git-based code management through Gerrit and Jenkins. Improved code e ciency, resolving issues in
       upward link data and signal transfers.
       Consulted vendors, negotiated speci cations, and ensured a 95% client satisfaction rate. The quality of deliverables

       received an 8.1 out of 10. Enhanced communication through Agile and JIRA, succeeding an 80% feedback
       incorporation rate. Witnessed a 25% e ciency boost in project execution.
  Innodatatics                                                                                                                 TG, IN
  Machine Learning Engineer Intern                                                                       Jun 2019 - Aug 2019
      Leveraged advanced analytics techniques, including EDA and supervised ML algorithms such as SVM, random forest,

      and decision trees, to analyze customer churn within the airline industry. Applied regression modeling techniques,
      logistic, ridge, lasso, and elastic net regressions, to enhance forecast accuracy for future customer behavior by 30%.
      Resulted in a predicted 20% reduction in churn and a 10% increase in revenue through targeted marketing

      campaigns, with a 95% accuracy rate in predicting churn.
Publications, and Projects
  The 2023 International Conference on Computational Science and Computational Intelligence: Implemented Natural Language
  Processing with sklearn for sentiment analysis using supervised machine learning algorithms. Achieved 93.8% accuracy with Support
  Vector Machine. Fine-tuned to improve accuracy to 93.95%
  Background Blend: Implemented computer vision with Python, OpenCV, and Spyder IDE. Removed foreground frames for disappearing
  e ects. Leveraged HSV color palettes and OpenCV tools for manipulation. Innovated precise color detection and segmentation
  techniques. Generated masks to enhance image outputs for improved visual appeal.
  Sho-opify: Created a local web app using Java on NetBeans IDE. Integrated modules for seamless page interaction. Utilized JDBC for
  robust database management. Incorporated security measures for login and shopping cart data.

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