Developed a custom product, capable of planning upto 15000 deliveries with 500 vehicles adhering to:

• driver schedules;
• delivery windows;
• vehicle type, capacity and capability limitations;
• select customer inventroy management;
• multiple supply and distribution hubs;
• traffic based planning;

The project helped bring operational costs down by 40%.

Developed an Artifical Neural Networks based model for accurately predicting the Yield and runlenght of Naphtha caracking facility. The model had an accuracy of 7% on yield and 2 days for runlenth.

The model helped the facility to continiously optimize plant parameters to imporve overall production by 9%, resulting in multimillion dollar increase in revenue.

Website develpment for Auto Detailing company. Having key functionality:

• Image galary
• Online appointments booking with calendar management for multiple locations
• Multiple Service offerings linked to vehicle type
• Online shop
• Online payments processing
• User data manamgenet

Build an scheduling solution, recomending the schedule for unloading crude tankers arriving via sea. The scheduling system had the following features:

• Scheduling in coherance with tidal schedule
• Minimization of tanker demurrage
• Sequencing tankers to mooring points
• Scheduling pipelines from mooring points to inland tank farm
• Recommending tank for crud unload basis quantity and quality of crude
• Provide a multi tank crude blending solution to blend crude inline with product slate requirements
• Maximize Gross Refinery Margines considering crude costs and product prices