Nikhil VVS

Nikhil VVS

Machine Learning Intern

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location of Nikhil VVSUnited States

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  • Timeline

  • About me

    Looking for opportunities | Data Engineer | AWS | Azure | Python | SQL | AI/ML | Spark | Kafka | ETL | DevOps | AirFlow | Cloud | R | SAS | Kubernetes | Data Analytics | Docker | MSCS’25 UTA | Ex Accenture

  • Education

    • Chaitanya Bharathi Institute Of Technology

      2018 - 2022
      Bachelor's degree Computer Science

      Activities and Societies: Organized the Robovanza, a national-level technical fest of CBIT in 2018.

    • The University of Texas at Arlington

      2023 -
      Master's degree Computer Science
  • Experience

    • Verzeo

      May 2020 - Oct 2020
      Machine Learning Intern

      As a Machine Learning Intern at Verzeo, built automated data pipelines with Tweepy API, developed a gender classification model with 85% accuracy, and created data visualizations for model performance.• Utilized TensorFlow and machine learning algorithms for gender classification model.• Developed data visualizations using Matplotlib and Seaborn for interpreting model insights.

    • Exposys Data Labs

      Jun 2021 - Nov 2021
      Full-stack Developer

      Developed a real-time chat application using React.js and Node.js to improve communication capabilities. • Optimized database performance with MySQL, reducing query execution time by 25%.• Deployed cloud-hosted solutions on AWS S3 for improved scalability and reduced infrastructure costs.

    • Accenture

      Dec 2022 - Jul 2023
      Custom Software Engineering Associate

      Designed and implemented scalable DevOps solutions and full-stack applications to optimize workflow efficiency and data processing.• Designed and deployed scalable backend systems using Node.js, Express.js, and MongoDB to streamline data ingestion.• Built automated CI/CD pipelines using Docker, Kubernetes, and Terraform to enhance deployment efficiency.• Collaborated on cloud infrastructure setup using AWS services (EC2, S3, Lambda) to support large-scale data processing.• Conducted technical workshops on DevOps best practices, enabling adoption of cloud-based data solutions. Show less

  • Licenses & Certifications