Krithik Kannan
Merchant Category Specialist @ DoorDash
About
A graduate of Indiana University's Kelley School of Business with a BBA in Management Information Systems and Business Analytics, I specialize in leveraging data-driven insights to inform strategic decision-making. My core skills include vendor management, Sigma Dashboards, and advanced analytics. At DoorDash, I focus on building strong vendor relationships, monitoring performance metrics, and identifying growth opportunities using tools like SQL and Sigma Dashboards. By collaborating with supply chain and analytics teams, I support compliance with DashMart’s quality standards while enhancing transparency and accountability across key categories.
United States
Bloomington
Information Technology & Services
Sigma Dashboards, Vendor Management, Microsoft Excel, Information Technology Infrastructure, Computer Information Systems, Statistical Data Analysis, Customer Relationship Management (CRM), PHP, Snowflake, Business Data Management, Database Analysis, Project Management, Python (Programming Language), Pandas (Software), NumPy, Matplotlib, Tableau, Data Analysis, SQL, Salesmanship
Experience

Merchant Category Specialist
NYC
• Built and maintained strong vendor relationships by monitoring performance metrics and driving continuous improvement. • Analyzed vendor sales and inventory performance using SQL and Sigma dashboards to identify growth opportunities. • Created data-driven KPI reports to enhance transparency and accountability across key categories. • Collaborated with supply chain and analytics teams to ensure compliance with DashMart’s quality standards.

Master Data Analyst
Hanover, Maryland, United States
• Automated ETL pipelines with Python & SQL, reducing data-prep time by 20% • Developed Tableau dashboards to monitor data-quality metrics, cutting downstream errors by 15% • Conducted master-data audits across 3 domains, remediating 1,200+ records and improving accuracy by 25%

Data Analyst
Edison, New Jersey, United States
• Analyzed and visualized data using SQL and Power BI, improving reporting accuracy by 25% across client projects. • Automated workflows to reduce manual reporting time by 40%, boosting team efficiency and data quality. • Implemented scalable data pipelines that enabled 3+ client migrations to modern analytics platforms for better KPI tracking.
Krithik Kannan's Contact Information
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