Kiran Kumar G

Kiran Kumar G

Jr. Java Developer

Followers of Kiran Kumar G249 followers
location of Kiran Kumar GHyderabad, Telangana, India

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  • Timeline

  • About me

    Data Engineer @ Avient Corporation | Professional Data Engineer

  • Education

    • Texas A&M University-Kingsville

      2014 - 2016
      Master's degree Electrical and Electronics Engineering
    • Jawaharlal Nehru Technological University Hyderabad (JNTUH)

      2007 - 2011
      Bachelor's in Electrical and Communication Engineering
  • Experience

    • Cinar Software Technologies

      Jan 2012 - Feb 2014
      Jr. Java Developer

      ★★ 1) Project: Centralized Warranty System ★★👉 Role Jr. Java Developer👉 Responsibilities:☛ Developed a Centralized Warranty System (Full-Stack Developer), optimizing backend operations with SQL queries, stored procedures, and triggers and reduced processing time☛ Designed a user-friendly interface leveraging HTML, and JS libraries, ensuring high user satisfaction☛ Structured data storage with SQL Server☛ Built the full-stack application using Java Struts Framework, implementing MVC architecture with UML diagrams for maintainability Mostrar menos

    • AdvanSoft

      Jun 2016 - Jun 2017
      Python Developer

      ★★ 1) Project: Energy Usage Prediction ★★👉 Role Python Developer👉 Responsibilities:☛ Developed High-Accuracy Energy Prediction Models (Python, Scikit-learn) achieving > 90% accuracy, leading to a 20% reduction in third-party reporting costs☛ Improved data quality through a custom fuzzy matching algorithm utilizing k-nearest neighbours☛ Designed a Real-Time Sales Lead Recommendation Engine that increased up-sell conversion rate by 15%☛ Built an ETL Pipeline (Python) for data preparation in machine learning applications☛ Utilized Agile methodologies (Scrum) to deliver solutions efficiently Mostrar menos

    • General Motors

      Jul 2017 - Jan 2019
      Python Developer

      ★★ 1) Project: Claims Management System and Lane Detection System ★★👉 Role Python Developer👉 Responsibilities:☛ A 15% reduction in claims processing time was achieved by using TF-IDF feature extraction☛ Designed JSON and XML data pipelines for Lane Detection and Claims Management systems, utilizing Pandas and NumPy for effective data processing☛ Integrated custom visualization tools with ease while delivering end-to-end data analytics and automation systems☛ Utilized OpenCV and neural networks to develop lane detection models Mostrar menos

    • NTT DATA

      Jul 2020 - now
      Data Engineer

      ★★ 1) Project: Avient's InstaColr/ColorNow Project ★★👉 Role: Data Engineer👉 Responsibilities:☛ Comprehending business requirements and translating them into technical solutions by liaising with global business teams☛ Owning and delivering the whole ETL pipeline for Avient's InstaColr/ColorNow project, resulting in a 40% increase in performance while meeting the demands of the backend engineer and ML☛ Developing thorough unit tests with a focus on code reliability to ensure data and ETL code integrity☛ 15% increase in user engagement as a result of the optimized Python scripts that were designed to extract and process data at scale from a variety of sources☛ Utilizing Apache Airflow to implement automated scheduling of the ETL process and results simulations, achieving a 20% improvement in price suggestion accuracy☛ Designing and enhancing Python microservices with a 5x increase in performance by utilizing the Numba library★★ 2) Project: Avient's Smart Factory Project ★★👉 Role: Data Engineer👉 Responsibilities:☛ Orchestrated the successful migration of high-throughput streaming IoT data from on-premises Postgres to cloud Postgres for the data analyst team☛ Built REST APIs with RabbitMQ and Node-RED for smooth data transfer, giving data analysts effective access to data☛ Performed a real-time monitoring analysis of the extruder's critical operational data, which resulted in a 9% improvement in process efficiency and a decrease in downtime★★ 3) Project: Confidential ★★👉 Role: DevOps👉 Responsibilities:☛ Migrated 14 microservices (Python, JavaScript, and .Net) from Cloud Foundry applications to a Kubernetes cluster, fostering a cutting-edge and scalable infrastructure☛ Reduced resource utilization & deployment time by 20% by optimizing Docker image size for supported languages, like .Net☛ Developed a CI/CD pipeline to automate the deployment of several microservices into the Kubernetes cluster, therefore streamlining the development process Mostrar menos

  • Licenses & Certifications