Indu Rao

• Lead a cross-functional team of 5 members (2 Data Analysts, 2 Data Engineers, and 1 Product Analyst), managing end-to-end operations, task allocation, and deliverables.
• Oversaw operations for 2 Evidence Lab teams, supporting Pricing team and ensuring timely execution of business requirements.
• Conduct team meetings, monitor KPIs, track performance, provide feedback, and drive team productivity.
• Provided technical and functional support to team members, resolving complex issues to ensure smooth project execution.
• Manage large-scale brand datasets, performing data validation, data quality checks, backend data updates, and maintenance.
• Tracked project activities, priorities, and deliverables using JIRA to ensure timely and accurate delivery.
• Utilize SQL, Python, Excel and Databricks for data validation, analysis, processing, and troubleshooting.
• Roles and Responsibilities:

• Partnering with the Merchant Operations (MerchOps) Team for Uber Eats Australia & New Zealand, driving insights on restaurant onboarding, selection, and operational performance.
• Leveraging Python and SQL for advanced data processing, statistical modeling, and automation of performance tracking dashboards.
• Conducting Weekly and Quarterly Business Reviews (WBR/QBR) to deliver actionable insights and influence data-driven decision-making across Uber Eats ANZ.Design, develop, and deploy cutting-edge machine learning models to address business challenges and enhance decision-making processes.
• Led the Merchant Value Framework Project, implementing a photo coverage model that increased business engagement by 50% and reduced churn across new restaurants.
• Demonstrated proactivity, attention to detail, and collaboration in managing multiple projects under time constraints while ensuring continuous process improvement.
• Key Responsibilities:

Utilized Python, SQL, and Google Sheets develop accurate sales forecasting models, aiding in strategic decision-making and revenue optimization.

• Executed SQL queries to extract relevant data from databases for analysis
• Developed dynamic and interactive reports using Power BI Desktop, facilitating data-driven insights for stakeholders and enhancing decision-making processes.
• Conducted in-depth exploratory data analysis (EDA) and utilized advanced visualization tools to present key insights effectively.
• Implemented advanced techniques to identify and address data anomalies, ensuring the reliability and accuracy of data used for analysis and reporting.
• Ensured data quality and integrity through meticulous data cleaning and processing techniques, maintaining high standards for data accuracy and consistency.
• Implemented robust techniques to ensure data accuracy and consistency through thorough cleaning and preprocessing methodologies.
• Design, develop, and deploy cutting-edge machine learning models to address business challenges and enhance decision-making processes.
• Implement rigorous validation processes to ensure the reliability and accuracy of deployed machine learning models.
• Translated complex data analysis findings into actionable insights and strategic recommendations for business stakeholders.
• Key Responsibilities: