2024

Data Consultant at Delphi

Project: Data-Driven Retail Optimization Technologies: Power BI, Microsoft Fabric, Azure Data Lake, Medallion Architecture Implemented enterprise data solutions for HUDA Beauty and Al Masaood using Medallion Architecture: Built bronze-to-gold pipelines in Microsoft Fabric, reducing processing time by 20% Developed Power BI dashboards that cut attrition by 15% through KPI tracking Led team migration to unified data infrastructure, enabling cross-department analytics Designed optimized ER models improving inventory query speed by 30% Deployed co-pilot tools increasing Al Masaood conversions by 25% Results: Streamlined workflows, enhanced data accessibility, and drove measurable business growth through scalable cloud architecture and actionable insights.

Jan 2024 - Jun 2024

Data Scientist Intern at Ineuron

Leveraged Python, Tableau, and visualization libraries (Matplotlib/Seaborn) to transform raw financial data into strategic insights for a Deloitte case study. Designed interactive aviation dashboards that optimized flight routes, reducing operational costs by 12% through geospatial analysis. Developed machine learning models to enhance decision-making accuracy, driving 20% efficiency gains in operations. Key Contributions: Financial data transformation & visualization Aviation route optimization via geospatial analytics ML-driven operational improvements Impact: Delivered data-driven solutions that enhanced efficiency, reduced costs, and supported strategic decision-making.

March 2023 – March 2024

Store Manager at Subway

Drove a 10% revenue increase by analyzing sales data and optimizing promotions. Enhanced inventory efficiency by 15%, minimizing waste and stockouts. Managed peak-hour operations seamlessly, maintaining 95%+ customer satisfaction. Improved customer retention by 20% through feedback-driven service enhancements. Trained and mentored staff on operations and customer engagement, boosting team productivity by 25%. Streamlined workflows to ensure consistent service quality during high-demand periods. Skills Demonstrated: Data-Driven Decision Making Inventory & Supply Chain Optimization Team Leadership & Training Customer Experience Management Delivered measurable business growth while maintaining operational excellence in a fast-paced retail environment.

February 2021 to April 2021

Python Developer Intern at Trivia Software

Automated Student Data Management: Developed a Python-based Student Management System, improving data accuracy by 20% and streamlining administrative workflows. Ensured System Reliability: Conducted rigorous testing and debugging, achieving 95%+ deployment reliability and seamless user experiences. Designed User-Friendly Interfaces: Collaborated with a 5-member team to create an intuitive UI, enhancing usability and user satisfaction. Trained End-Users: Delivered training sessions to 50+ end-users, ensuring smooth system adoption and minimizing transition challenges. Improved Operational Efficiency: Automated manual processes, reducing data entry errors and saving 15+ hours per week for administrative staff.