Shivaji Maddhesia
About Shivaji Maddhesia
Shivaji Maddhesia is a Senior Statistical Programmer currently employed at Ephicacy in Bengaluru, Karnataka, India. He has extensive experience in statistical programming and data analysis, having previously worked at notable companies such as Accenture, IQVIA, and HCL Technologies.
Work at Ephicacy
Currently, Shivaji Maddhesia serves as a Senior Statistical Programmer at Ephicacy, having joined the company in 2020. In this role, he focuses on statistical programming and data analysis within the clinical trial sector. His expertise includes utilizing Output Delivery System (ODS) for generating reports and visualizations from clinical trial data. His contributions support the organization’s commitment to delivering high-quality statistical insights.
Previous Employment Experience
Before joining Ephicacy, Shivaji Maddhesia worked at IQVIA as a Programmer Analyst from 2018 to 2020. His career also includes a position as a System Developer Analyst at Accenture in India from 2017 to 2018, and as a Software Engineer at HCL Technologies from 2015 to 2017. Additionally, he briefly worked as a Data Analyst at Accenture in 2018. This diverse experience has equipped him with a broad skill set in programming and data analysis.
Education and Expertise
Shivaji Maddhesia holds a Bachelor's degree in Computer Science and Engineering from SRM University, where he studied from 2009 to 2013. His educational background provides a strong foundation for his technical skills, which include proficiency in Python programming, shell scripting, and SQL. He also possesses expertise in SAS CONNECT and MACRO programming, essential for complex data manipulation tasks in clinical trials.
Technical Skills and Tools
Shivaji Maddhesia is skilled in data visualization and creating Excel macros, which enhance the presentation and analysis of clinical data. His technical capabilities include using Output Delivery System (ODS) for report generation and visualizations. He has experience with SQL and PL/SQL in Oracle databases, particularly within a Unix operating system environment, which supports his data processing and automation tasks.