AIML

• Analyze application logs to identify data discrepancies, trends, and issues.
• Present structured analytical insights and findings to business stakeholders.
• Perform Root Cause Analysis (RCA) by collaborating with cross-functional teams.
• Automate manual processes through custom scripting or lightweight development.
• Build and deploy minor Python-based enhancements.
• Conduct Exploratory Data Analysis (EDA) and feature engineering to enhance existing models.
• Begin contributing to AI/ML model development, especially model drifts and enhancements.
• Translate business requirements into technical specifications with cross-functional collaboration.
• Mentor junior team members and define best practices for analytics and ML projects.
• Create and maintain technical documentation and visual presentations.

Qualifications:

• 7–10 years of experience in data analysis, particularly using SQL (any RDBMS).