Nandeesh Goud
About Nandeesh Goud
Nandeesh Goud is an Analyst with expertise in Shell scripting and AWS Redshift, currently working at Advance Auto Parts in Hyderabad, India. He has a background in data modeling and programming, having previously held positions as a Tableau and Power BI Developer at Rythmos.
Work at Advance Auto Parts
Nandeesh Goud has been employed at Advance Auto Parts as an Analyst since 2020. His role involves analyzing data to support decision-making processes within the organization. He has contributed to various projects that enhance operational efficiency and improve customer service. His experience in data analysis and modeling is instrumental in driving insights that align with business objectives.
Previous Experience in Data Analysis
Prior to his current position, Nandeesh worked at Rythmos as an Associate Consultant, focusing on Tableau Development from 2015 to 2018. He transitioned to a role as a Power BI Developer at the same company from 2018 to 2020. His responsibilities included developing interactive dashboards and reports to visualize data effectively. Earlier in 2015, he served as an Associate Software Trainee specializing in Oracle DBA at SONIKS Consulting Services.
Education and Expertise
Nandeesh Goud earned his Bachelor of Technology (B.Tech.) in Computer Science and Engineering from Sri Kottam Thulasi Reddy Memorial College of Engineering, completing his studies from 2010 to 2014. He also attended Narayana Junior College, where he achieved an Intermediate degree in Junior High/Intermediate/Middle School Education and Teaching from 2008 to 2010. His educational background provides a strong foundation for his expertise in data modeling and cloud-based services, including AWS Redshift.
Technical Skills and Proficiencies
Nandeesh possesses a range of technical skills relevant to data analysis and software development. He is proficient in Shell scripting, which is essential for automating tasks in Unix/Linux environments. Additionally, he is skilled in Python, a versatile programming language widely used for data analysis and automation. His expertise extends to data modeling, enabling him to create effective data structures for database systems.