Gautam S.

Gautam S.

Scientist with 15+ years in Data Science, Operations Research, Python, Web & App development

, India

Experience: 15 Years

Gautam

Scientist with 15+ years in Data Science, Operations Research, Python, Web & App development

108012 USD / Year

  • Immediate: Available

15 Years

Now you can Instantly Chat with Gautam!

About Me

Accomplished, diligent, performance-driven Sr. Operations Research Scientist offering 15+ years of experience in developing complex mathematical models in LP, NLP, MINLP, Neural Network, Genetic Algorithm, etc. demonstrated expert...

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Portfolio Projects

Vehicle Route Planning

Company

Vehicle Route Planning

Description

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%.

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Yield Prediction Modelling

Company

Yield Prediction Modelling

Description

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. 

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Website Development

https://gautodetail.com

Company

Website Development

Description

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 

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Crude Scheduling

Company

Crude Scheduling

Description

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

 

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