• Developed Python automation scripts to streamline manual accessibility tasks, saving the team 7 hours of work weekly.• Developed comprehensive ETL and PowerBI dashboard plan to facilitate data-driven decisions starting in Spring 2025.• Analyzed and optimized 50 Canvas courses, including course copies, ensuring compliance with accessibility standards.

• Conducted detailed data analysis using SQL and Python to identify trends and quantify revenue generation.• Developed a Hot Scan dashboard to track new customers daily by integrating data from 4 departments.• Wrote ETL scripts to monitor and manage Data Lake and Data Warehouse processes for the Big Data department.• Enhanced the ETL process efficiency by 30%, reducing script execution time and ensuring timely data availability.• Created 5 automated reports and PowerBI dashboards, streamlining Finance data processing and decision-making.• Managed departmental and ETL data using Hadoop and Apache frameworks for scalable processing.• Built a machine learning model to identify fraudulent signatures, significantly reducing check-related fraudAs a member of the Big Data Team, I am responsible for monitoring and improving ETL (Extract, Transform, Load) processes. This involves writing scripts, monitoring the ETL processes, and troubleshooting any errors that occur. I have extensive experience working with the Hadoop Distributed File System and Cloudera, which enables me to optimize processes and identify new solutions for better performance.In addition to my role in the Big Data Team, I am also a part of the T24 Insight Team, which is a Business Intelligence department. My primary responsibility is to understand the requirements from various entities, such as the State Bank of Pakistan and different departments within my organization, including Finance, Trade, and HR. I then use this understanding to write queries on SSMS, Hive and Impala and then create MIS reports on SSRS and dashboards on Power BI. These reports provide critical insights and help decision-makers across the organization make informed decisions.

As a Teacher Assistant for Data Science and Applied Data Mining, I facilitated effective learning experiences for students by conducting interactive classes and labs. I developed course materials aligned with learning objectives and evaluated student projects, quizzes, and assignments, providing constructive feedback for their academic growth. I worked closely with students, offering personalized assistance and mentorship to address individual learning needs. Collaborating with the instructor, I implemented innovative teaching strategies to enhance student engagement and comprehension. With strong organizational and communication skills, I supported classroom discussions and facilitated group projects, promoting a collaborative learning environment. I maintained open communication with students, promptly addressing inquiries and guiding them through course requirements. My passion for education and commitment to student success contributed to a positive, inclusive learning environment fostering academic achievement.