• Analyzed data received from different clients, and recommended actions for data quality improvements• Created weekly and monthly reports used to manage the project’s financial and compare actuals vs forecasts• Developed financial strategies and provided analytical support for the Product Teams (in the development process of new products and strategic business planning)

• Coordinated a team of 6 graduate assistants of application evaluation division to formulate and implement strategies for quick and error-free evaluation of more than 10,000 admission applications• Responsible for data curation, data cleaning, and data validation, using SQL and MS Excel (VBA and Macros), of large datasets and utilizing business intelligence tools to cultivate actionable insights• Successfully managed the migration, setup and deployment of student profile data from WebNow to Slate software• Re-designed workflow structure using Lean transformation and Six Sigma which made application processing 16% faster• Examined student data to generate insights and performed targeted marketing, increasing number of applicants by 1.14 times • Trained and mentored new graduate assistants to drive daily tasks and provided support to achieve delivery deadline

• Examined large datasets, market dynamics and client metrics and strategically recommended to build multiple KPIs• Developed consumer based product strategies, which enhanced performance, profitability and client relationships• Delivered monthly demand forecast reports considering historical data, market trend, raw material price and present market demand, achieving an accuracy of 72%• Generated, analysed and visualized customer data to perform targeted marketing through the use of analytical tools and business intelligence strategies; market share grew by 12% by the end of first year• Developed Key Performance Indicators to monitor sales and decreased costs by 5%• Regularly performed financial analysis and creatively converted business data into strategic plans for continuous process improvement, resulting in efficiency increase of 38%• Developed Predictive Maintenance Program to create repair schedules for maintenance, decreasing downtime and labor costs• Reviewed, collected and analyzed operations, productivity, production and movement to determine areas needing cost reduction and overall improvement

• Reviewed, collected and analyzed operations, productivity, production and movement to determine areas needing cost reduction and overall improvement• Reduced operational risks by collecting key performance indicators for production time and processing errors