Akshay Patil

• Executed the development of an intricate IFRS9 ETL project for a major Indian bank, ensuring high-quality deliverables.
• Spearheaded a Python automation development initiative, delivering an operational automation solution and data quality framework to the client.
• Independently migrated a 22-entity ETL project from the development environment to production, ensuring minimal disruption to bank operations.
• Provided proactive support to customers by troubleshooting technical and non-technical issues and offering practical solutions.
• Contributed to the preparation of key project documents, including RFPs, Cred Packs, SOWs, and CEACs.

• Developed and supported applications for IRDA Commission Calculation and Payment Generation on a daily and monthly basis using SAS EG, SAS DI, and Oracle.
• Developed and supported SAS programs for claims reinsurance data processing across PAN India.
• Assisted cross-functional teams—including Finance, Actuaries, Business Intelligence, Reinsurance, and Claims—by addressing technical queries.
• Developed and deployed ad-hoc reports and applications tailored to meet specific business requirements.

• Developed data transmission programs from scratch for multiple pharmaceutical clients, delivering tailored business solutions.
• Supported and developed applications for cross-functional teams to streamline processes and reduce manual efforts.
• Managed a diverse portfolio of projects and clients globally, taking on a leadership role in specific DM programming tasks.
• Provided technical guidance and support to team members, fostering collaboration and knowledge sharing.

• Developed SAS coding and table templates for the preparation, processing, and analysis of clinical data.
• Built, tested, and validated clinical databases to ensure accuracy and reliability.
• Created edit checks and reports to uphold high data quality standards.
• Validated the work of other programmers and analysts to ensure adherence to best practices.
• Supported data queries from various functional groups, including Biostatistics, Medical Writing, Clinical Development, Clinical Operations, Regulatory Affairs, and Marketing.
• Cultivated a strong understanding and hands-on experience in clinical trial data management.

74.2%

CGPA: 4.59/7

First Class