• Led comprehensive analytics for KSA Based Danube and Bindawood retail stores, encompassing everything from customer insightsto operational KPIs and most importantly complete overview of the Loyalty Program.• Engineered targeted campaigns with rigorous A/B testing, elevating performance metrics and ensuring growth.• Reformed current Product category/Hierarchy using NLP improving Item discretization and enhancing visibility.• Devised Fraud Detection model, Identifying potential risks at both cashier and member levels.• Developed Market Segmentation models using DBSCAN Clustering to categorize customers based on their purchasing behavior,enabling personalized campaigns and deeper insights into consumer behaviour and key market segments.• Developed Recommender-Engine based on Deep Neural Network utilizing Retrieval and Ranking system using vectorized approach.• Developed ETL Workflows powering ML Models and Reporting Layers and establishing sanity checks.• Spearheaded the complete development of visual and reporting layer ensuring holistic view at a glance – Improved business agility andtransparency with automated Dashboards and reports covering Every major function throughout the Org.• Contributed to Datawarehouse Migration by developing ETL pipelines, Workflows and Validation checks.• Established Association rules via Market Basket Analysis to optimize store layout and Product based campaigns.

• Continual improvement of Power Monitoring Expert– a web-based application for real-time Energy and Flow Monitoring systems.• Actively led training sessions for Engineering & Manufacturing teams, empowering members to enhance their data understanding andsharpen skills in data visualization and reporting.

• Analyze Utility consumption data to track set KPIs and identify abnormalities.• Ensure visualization for all stakeholders by Dashboards.• Led team of Engineers for implementation of Utility monitoring system for real-time data monitoring via IOT devices.• Collaborate with manufacturing departments to communicate utility KPIs and take conformed steps to meet them.• Forecasted a 25% increase in compressed air demands by analysis of consumption trends to highlight the requirement for capacityenhancement.• Highlighted the need for alternate Water resources by comparative cost analysis based on an upward trajectory of water consumption (32% Increment)

Data Analysis:• Analyze Water & Compressed Air consumption data to identify trends and abnormalities within the system.

-Classification of denim manufacturing process based on variety and volume of energy. -Accumulating utility data and equipment status to establish baseline and analyze it to achieve viable energy conservation & optimization opportunities. -Potential cost saving up to 10 Mil. PKR per year: -- Recovering blowdown losses by implementing automatic blowdown system and utilizing blowdown to pre-heat makeup water for Boilers – 0.15 Mil. PKR /Yr. -- Employing efficient PM routine with adequate equipment to recover Energy losses from faulty steam traps – 8.9 Mil. PKR /Yr. -- Recovering energy loss from stack by employing Automatic Oxygen trim control system – 1 Mil. PKR /Yr. -- Utilizing exhaust heat from Stenter machine to provide heat to pretreatment chemical tanks – 0.1 Mil. PKR /yr.

Engineering Intern (Maintenance Department)• Brief study of various tire manufacturing processes, machinery involved and Maintenance procedures• Introduction to maintenance scheduling & Brief study of maintenance operations required for various machinery involved