Aman Alam Siddiqui

IT professional specializing in IT systems management and data quality. Proficient in Python, SQL, and Tableau, with a strong focus on aligning solutions with enterprise standards. Demonstrated success in workflow analysis, performance monitoring, and quality assurance across diverse projects in academia, research, and industry.

• Web Development (My Captain)
• Artificial Intelligence (My Captain)

• Target Corporation – Business Intelligence & Quality Monitoring, 2024, Built enterprise-level dashboards in Tableau and Power BI to monitor sales KPIs, product performance, and store-level quality indicators., Conducted customer segmentation and predictive modeling to support strategic planning and improve operational effectiveness., Integrated Python scripts for automated data validation and updates, ensuring reporting quality and reducing manual intervention.
• Google Play Store Apps Analysis – IT Systems & SDLC Project, 2024, Designed and implemented a data pipeline using Python (Pandas, NumPy) and SQL to clean, transform, and validate raw application data., Applied clustering and regression techniques to measure performance, engagement, and application quality., Delivered interactive dashboards to provide stakeholders with insights on trends, ensuring quality-driven decision-making.
• The Taco Lab – IT Operations & Workflow Optimization, 2024, Modeled system workflows and conducted capacity analysis to identify bottlenecks in service delivery., Designed an inventory management system with EOQ methodology, ensuring stability and reducing waste., Conducted flow-time calculations to ensure process quality and align operations with service-level expectations.