Developed and launched an AI Essay Grader that automated assignment grading for 650 teachers, reducing grading time by 30% and increasing student-teacher interaction. Improved student performance by 15% and boosted teacher satisfaction through more individualized support.• Led the design and deployment of an AI Student Enrollment Predictor using XGBoost and deep neural networks, achieving 90% accuracy for 90-day enrollment projections. Deployed for the 2024-2025 academic year, this tool reduced unexpected staffing shortages and enhanced budget forecasting accuracy by 10%.• Directed the development of an AI Document Reader to automate the classification and validation of transfer certificates, address proofs, and other enrollment documents. Cut processing time by 40%, reduced labor costs by 15% (saving ~$550k USD annually), and decreased manual errors significantly.• Managed the Learning Fund Asset Management System (having a valuation of $36 million annually), leading a 12-member cross-functional team to streamline operations and enhance efficiency.• Conducted exploratory data analysis (EDA) to identify and resolve automation issues, improving data reliability and ensuring operational precision.• Built and deployed an AI-powered chatbot integrated with SQL and PowerSchool, reducing query resolution time from 1 week to instant access. Eliminated the need for ticket submissions and cross-team coordination, boosting efficiency, increasing user satisfaction by 40%, and freeing up resources for higher-value tasks.• Designed and implemented KPI dashboards using Looker Studio and Power BI, improving reporting efficiency and enabling data-driven decisions for stakeholders.

• Demonstrated effective leadership abilities by managing problems at the test facility by training, supervising, and mentoring Proctors, planning for students’ tests, and aiding professors and students with technical challenges. • Promoted to Team Lead after one semester.

● Led a complex qualitative research project, "Predicting Student Sense of Belonging at UCO," using SAS Enterprise Miner for data exploration. Employed Python Pandas and Jupyter Notebook for in-depth analysis and SQL for seamless database management.● Enhanced project efficiency by 20% through expert use of Advanced Excel and Power BI for data visualization, resulting in a 20% reduction in project duration and increased overall productivity.

● Interpreted data, managed multiple projects, analyzed results using statistical techniques, and provided ongoing results to the customers’ accounts.● Leveraged SQL for in-depth data analysis, resulting in a 15% reduction in E-commerce fraud and saving $4 million in revenue. Identified complex patterns and anomalies to provide actionable insights.● Utilized Power BI for data visualization and exploration. Streamlined authentication procedures, reducing complex transaction analysis time by 20%, while maintaining a 98% accuracy rate. Effectively communicated findings in simple language to non-technical stakeholders, enabling data-driven decision-making.

● Leveraged data analysis through the company Database to deliver significant customer value by optimizing business solutions. Achieved a 15% improvement in decision-making accuracy, leading to more tailored customer offerings.● Demonstrated strong communication and analytical skills in addressing client issues through efficient data-driven solutions resulting in 25% reduction time, saving approximately 10 hours per week and ensuring timely, effective customer support.

● Optimize media budgets and gross margins and serve as an extension to the demand generation team responsible for SEM, SEO, Paid Social, Programmatic, and other Marketing channels. ● Drive material improvements to acquisition, retention, and customer lifetime value activities through analysis and experimentation of campaigns spanning across all channels.