About

Raghavendra Mustyalwar is a data analyst with over 5 years of experience in SQL and data gathering, and over a year of experience in analytics. He is skilled in data analysis, reporting, and problem-solving, and has expertise in AWS Athena, PostgreSQL, Oracle SQL, and other cloud tools like AWS Glue and AWS Lambda. He is also acquainted with EDA, basic machine learning models, and big data. Currently working as a Global Insights Industry Analyst at Gracenote, Raghavendra has converted repeat excel reports to dashboards by implementing them in SQL, allowing automated refreshes and reducing chances of manual error. He has modularized SQL queries to reuse common logics, helping in faster query creation, and automated manual tasks using Python, decreasing task times by 60-70%. Prior to Gracenote, Raghavendra worked as a System Engineer at TCS, where he developed and optimized complex queries to enable seamless backend performance of the application. He also created procedures and functions to monitor daily counts of parameters to ensure all data is accounted for in the application flow. He received appreciation awards from clients and the organization for outstanding performance. Raghavendra holds a Post Graduate Diploma in Data Science from the International Institute of Information Technology – Bangalore and a Bachelor of Engineering in Computer Engineering from Pune Institute of Computer Technology. He is skilled in SQL, AWS, data science, Python, machine learning, AWS Glue, Amazon Athena, big data, and backend development. With 4.10 years of relevant experience, Raghavendra is a highly skilled data analyst with expertise in data analytics and data science.