Mahdi Torkzaban

responsible for ensuring the integrity and optimization of data across the institution, particularly in the areas of student registration and program management. Data Cleaning and Optimization: Spearheaded a data cleansing initiative that improved data accuracy, ensuring reliable insights for decision-making. Automating Processes: Developed automated workflows for data collection and reporting, reducing manual work and increasing efficiency. Data Integration: Successfully integrated data from multiple systems, improving accessibility and enabling a more holistic view of student performance and engagement. Data Analysis and Report Creation: Analyzed student performance data, providing actionable insights that helped improve student retention rates. Developing Forecasts: Created predictive models that helped anticipate future student enrollment trends, aiding in better resource allocation.

Development of a Python script to schedule make-up exams for 1400 students, optimizing the time slots for exam sessions. Data cleaning and integration of 4 datasets into a well-structured format. Correction and linking of erroneous data, achieving a precision coefficient ranging from 0.89 to 1.00. Identification of potential cheating cases among students using variance analysis and statistical tools. Data analysis using various datasets and their integration to derive actionable insights.

Designed structured datasets to track daily client credit/debit flows, enabling automated monthly reporting on revenue, expenses, and net income. Developed and maintained financial dashboards to monitor client account activity, improving transparency and decision-making. Conducted variance analysis and reconciliations to ensure invoice accuracy, discount validity, and financial integrity. Led client segmentation analysis across diverse portfolios to tailor service strategies and enhance competitive positioning.

Coordination of payment management and purchase validation, with digital tracking of incoming and outgoing financial flows. Daily cash flow management and invoice supervision using automated tracking tools to ensure the reliability of accounting data. Rigorous monitoring of warehouse inventory through variance analysis and regular updates of logistics databases. Optimization of financial and operational processes using performance indicators and management reports.

Designed and implemented a data-informed business plan based on customer behavior analysis and sales performance trends. Collected, cleaned, and analyzed marketing data to measure the effectiveness of digital campaigns and recommend optimization strategies. Built dashboards and visual reports (Excel/Power BI/Google Analytics) to track user engagement, customer acquisition, and retention metrics. Delivered data-backed presentations to stakeholders demonstrating insights from user interactions within the Yas System application. Conducted seminars using real-time analytics to train sales teams on performance metrics and strategies to boost sales efficiency.