Pricing Ops Analyst
Airlift
Total years of experience :1 years, 1 Months
• Helped Airlift find out the pain points on out-of-stock products resulting in an increase in sales by 13%.
• Created data model using Python, SQL, and Excel to manage warehouse level demand of each of 18000 products.
• Redesigned pricing model by including competitive factors to maximize margins: resulted in an incremental increase of gross profit margin by 5% in quarter 2 on 2022
• Prepared and delivered presentations describing trends and conveying key findings to senior management.
• Using MySQL and R to perform the analysis of call-center data for patterns and trends can prove to be useful indicators of optimal caller-agent interactions.
• Developed a Machine Learning model to forecast optimized pair of client-agent; generating 8% more average sales per day.
• Training, validating and deploying Artificial Intelligence models that optimize key performance indicators as chosen by the client.• Using MySQL and R to perform the analysis of call-center data for patterns and trends can prove to be useful indicators of optimal caller-agent interactions. • Developed a Machine Learning model to forecast optimized pair of client-agent; generating 8% more average sales per day. • Training, validating and deploying Artificial Intelligence models that optimize key performance indicators as chosen by the client.
courses: Relevant courses: Business Analysis, Decision Analysis, Optimization methods in management, Linear Algebra, Probability and Statistics, Machine learning, Data mining, Decision behavior.
Courses: Business, Accounting, Economics, and Mathematics 2A* and 2A