Tahir Rafique Kehar

Developed and maintained automated dashboards and reporting tools using SAP S/4HANA, Power BI, and WeBOC data to support strategic decision-making and operational efficiency within Pakistan Customs. Analyzed import/export trends, clearance times, and revenue data using advanced statistical tools to identify irregularities, monitor compliance, and support accurate forecasting. Communicated actionab

Designed, developed, and managed Management Information Systems (MIS) dashboards, ensuring data-driven decision-making and alignment with the organization's strategic objectives. Utilized advanced Excel, Power Query, and Power Pivot to manage complex datasets, perform in-depth data analysis, and create actionable insights for business operations.

Orchestrated gas data collection from 2 provinces, covering 29 Points of Delivery (PODs) and 130 Sales Meter Stations (SMSs), improving analytics comprehensiveness. Spearheaded data standardization, enhancing data quality by 35% through stringent guidelines and training programs. Designed Power BI dashboards, driving a 20% improvement in data retrieval efficiency and supporting data-driven decisio

Expertly processed over 1TB of marketing data monthly, utilizing statistical analysis and machine learning to uncover trends, boosting campaign efficiency by 15%. Developed 20+ dynamic Power BI dashboards, enhancing stakeholder comprehension and fostering a data-driven culture. Collaborated cross-functionally with marketing and sales teams to deliver actionable insights, driving targeted strategie

Pioneered curriculum design using Adobe Creative Suite, resulting in a 25% uplift in student engagement through visually compelling learning resources. Orchestrated a comprehensive overhaul of the educational portal, improving user experience and increasing engagement by 30% through high-quality content and social media campaigns. Integrated Google Analytics, enabling data-driven adjustments to di

Activities and societies: Led a team of 4 in the university's annual data science competition, securing 2nd place with a project focused on using machine learning for environmental sustainability. Awarded 'Best Data Visualization' for a project analyzing social media trends using Python and Power BI.

Key courses included Advanced Cloud Computing, Machine Learning Algorithms, Big Data Analytics, and Interactive Data Visualization. The capstone project involved implementing machine learning models to predict consumer behavior based on big data analytics, achieving a 95% accuracy rate. This project demonstrated the ability to apply advanced data science techniques to solve real-world problems.

Activities and societies: Served as the Chairman of the ACM Student Chapter, organizing workshops and seminars on emerging technologies and software development best practices. Completed a certified workshop on Agile and Scrum methodologies, applying these practices to class projects and the final year project to enhance team productivity and project management.

Key courses included Software Project and Quality Management, Requirements Engineering, Software Verification and Validation, and Distributed Computing. The final year project involved designing and developing an environment for a Virtual Reality system to detect acrophobia (fear of height), which detected acrophobia in participants on 3 different levels.