~Data Collection & Management: Gathering quantitative and qualitative data from various internal and external sources to track institutional performance.~Statistical Analysis: Using statistical software and analytical tools to interpret data, identify trends, and provide insights on key metrics such as student retention, graduation rates, and program effectiveness.Reporting: Developing detailed reports, dashboards, and presentations to communicate findings to administrators, faculty, and stakeholders.~Survey Design & Administration: Designing and administering surveys for students, faculty, or alumni to collect feedback on institutional services, programs, and learning outcomes.~Compliance & Accreditation: Ensuring that the institution meets accreditation standards by providing necessary data for reporting to state, federal, and accrediting bodies.~Strategic Planning Support: Providing data-driven insights to support long-term institutional planning, resource allocation, and policy development.

At this role, I was responsible for organizing events, managing inventory, and overseeing cashier duties. I handled financial transactions, maintained deposits, and processed credit card payments accurately. These experiences provided me with a solid foundation in customer service, event coordination, inventory management, and financial operations.Some of my key achievements here includes: • Organized and managed logistics for university dining events, ensuring seamless execution.• Managed cashier duties, including handling deposits and processing credit card payments.• Played a key role in coordinating "Eve Eats," ensuring smooth operations by tracking and replenishing stock.

During my time here, I developed skills in data analysis, visualization, and project implementation. I gathered and analyzed extensive datasets, crafting insightful visualizations using Tableau, and providing data-driven insights to support mock business decisions. I utilized data analysis tools and techniques to communicate complex information through dynamic visual representations.Some of my key projects here includes:• Uber Data Analysis: Tableau PUBLIC: Utilized Tableau to create informative visualizations, showcasing net revenue, revenue distribution by region, and gross bookings of Uber rides, leveraging extensive datasets from Kaggle. Delivered insights into Uber's financial performance and market trends through dynamic visual representations.• NEOM SmartCity as a Capstone Project: Designed and implemented a captivating storyboard depicting a day in the life of Al within NEOM, the visionary Smart City, showcasing innovative smart home features and seamless integration of technology into daily routines. Illustrated Al's utilization of smart home functionalities, including remote access to refrigerator via a mobile phone embedded with inbuilt camera and sensors, ensuring real-time monitoring of food quality and quantity, epitomizing cutting-edge living standards.

At this role, I analyzed market trends and competitor strategies to inform marketing initiatives and support strategic decision-making. I created and executed innovative marketing concepts, boosting brand visibility. I synthesized data from various sources to understand consumer behavior and competitive landscape, ensuring company maintains a competitive edge.Some of my key achievements here includes:• Led market research to identify consumer trends and competitor tactics, enabling data-driven strategic planning.• Enhanced client retention by fostering strong relationships and confidence through proactive engagement and communication.

At this role, I executed in-depth financial data analysis to design new financial models, enhancing informed decision-making and identifying market opportunities. I created persuasive business documents and presentations, simplifying complex financial data for stakeholder review and decision-making. I translated quantitative findings into strategic recommendations, ensuring alignment and promoting a data-driven culture.Some of my key achievements here includes:• Mastered Tableau and PowerBI for advanced data visualization, supporting data-driven insights and decisions.• Utilized SQL and Excel to perform data mining and analysis, to develop accurate financial models.• Built proficiency in Python and R for data processing, enhancing efficiency in database management.• Conducted market research and CRM data analytics to identify trends and inform business strategies.