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    Srinivas Nedunuri

    Data Engineer - Python - Cloud - SQL - Machine Learning

    Professional Background

    Srinivas Nedunuri is a proficient Data Engineer with over five years of extensive experience in data science and software engineering. Currently serving at Tata Consultancy Services, Srinivas plays a pivotal role in enhancing and maintaining ETL (Extract, Transform, Load) services that cater to end-users. His proficiency in advanced Python programming allows him to automate workflows efficiently and manage scheduling effectively employing the capabilities of Apache Airflow. By standing up big-data analytical tools, he creates and maintains intricate models, all while onboarding compelling new data sets that help in advancing company objectives and enhancing data usability.

    Before his tenure at Tata Consultancy Services, Srinivas honed his skills as a Big Data Analytics Engineer at Accenture. In this role, he was responsible for designing and constructing ETL data pipelines to ensure seamless real-time data flow across multiple applications. His adeptness with statistical experimentation, particularly A/B testing, coupled with robust analytic strategies using visualization tools like Tableau, positioned him as a key player in improving decision-making processes in the organization.

    Education and Achievements

    Srinivas holds a Master of Science in Data Science from the University at Buffalo, where he excelled academically, earning a commendable GPA of 3.6. His educational background equipped him with critical competencies in data science, machine learning, and various analytics tools, establishing a robust foundation for his professional journey. His time as a Research Assistant at the University at Buffalo provided him with practical insights and hands-on experience, enhancing his analytical and research skills, which have been invaluable in his career.

    Skills and Competencies

    Srinivas's skill set is diverse and multifaceted. He is well-versed in data science and cloud computing, demonstrating a strong command of programming languages such as Python and SQL. He has substantial experience with big data technologies, including Hadoop and PySpark, which empowers him to tackle complex data challenges effectively. His knowledge extends into various facets of data analytics, supporting his capability to deliver insightful and actionable data-driven recommendations.

    Srinivas's passion for driving data innovation and excellence is reflected in his work ethic and his commitment to leveraging technology for enhanced productivity and efficiency. He is constantly seeking to expand his knowledge base and apply emerging technologies within the data landscape, making him a valuable asset in any organization he is a part of.

    Achievements

    • Developed and maintained critical ETL services to improve data accessibility and usability for end-users at Tata Consultancy Services.
    • Designed and built efficient ETL pipelines to handle real-time data flow while at Accenture, significantly enhancing operational efficiency.
    • Implemented statistical experimentation methodologies, including A/B testing, which provided vital insights and informed business strategies at Accenture.
    • Contributed to the research community as a Research Assistant, gaining invaluable experience and technical knowledge in data analytics.
    • Successfully onboarded new data sets that enriched the analytical capacity of his team and helped meet evolving business needs.

    Related Questions

    How did Srinivas Nedunuri develop his expertise in data engineering and analytics?
    What inspired Srinivas Nedunuri to pursue a Master's in Data Science at the University at Buffalo?
    Can Srinivas Nedunuri share insights on the latest trends in data engineering and cloud computing?
    How does Srinivas Nedunuri approach problem-solving in data-driven projects?
    What were some challenges Srinivas Nedunuri faced while building ETL pipelines at Accenture?
    Srinivas Nedunuri
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    Location

    Mountain View, California, United States