Apr 2023 – Jan 2024 · 9 mos · On-site

• Forecasting, inventory optimization and fare synchronisation using machine learning, deep learning and heuristic based algorithms

Dec 2021 – Mar 2023 · 1 yr 3 mos · On-site

• Bringing data based decision making through descriptive and predictive analysis.
• High impact revenue projects and bringing applications of gravity model, QSI model in forecast and inventory optimization
• Hiring guiding and mentoring new analysts to make them industry ready

Feb 2018 – Dec 2021 · 3 yrs 10 mos · On-site

• Part of Operations research team under Corporate Planning and analysis group.
• Leveraging data science expertise to dig deep on data, building statistical models and visualization
• Helping network planning team to determine market sizes and future growth rates for markets
• Working with different business teams to improve customer experience framework, high yield realization for cargo, manpower planning and optimization
• Driving automation projects across teams to increase productivity and minimizing errors

Apr 2016 – Feb 2018 · 1 yr 10 mos

• Last mile distribution strategy, Cost reduction through network redesign, Customer promise adherence at country level

Feb 2015 – Mar 2016 · 1 yr 1 mo

• Network planner for Air shipments at Snapdeal. Handling a team of vendor management who looks after day to day operations of business partners, analyzing their performance and deriving useful business insight to make out best possible solution with existing constraints.

Nov 2013 – Feb 2015 · 1 yr 3 mos · Hyderabad Area, India

• Understand overall logistics network of Customer
• Prepare the Baseline network of customer and identify the opportunities
• Model the logistics network of customer and optimize the network by various strategies
• Redesign the customer's transportation network to come up with minimized cost and maximized profit
• Provide customized solutions to client to achieve specific business solutions
• Perform proximity analysis for customer's network to identify opportunities
• Subject Matter Expertise for Resource Prediction in a customer's logistics network
• Prepare optimize schedule plan for driver and tractor to run an efficient and smooth logistics network
• Mentor and train analysts in the quality process as a Lean Coach

Jun 2012 – Jun 2013 · 1 yr · New Delhi Area, India

• M. Tech Project
• Title - Incentivization of public transport in India; - Dr. Nomesh Bolia
• Description -
• Calculated various benefits of using a public transport over private transport
• By applying monte-carlo simulation technique on Anylogic simulation software showed traffic congestion reduction in case of public transport usage
• Identified opportunities in accident cost, GHG emission, consumer savings and infrastructure investment by using various statistical techniques
• By choosing a Simple Random Sample, completed a survey to predict behaviour of a passenger to switch from private to public transport on basis of incentivization percentage and several other factors
• Suggested optimized incentive percentage to Department of Science and Technology (DST) by revenue maximization technique

Jun 2007 – Jul 2007 · 1 mo · Chanderia, India

• Studied and understood basic factory dynamics, quality aspects.
• Carried out a study on eliminating redundant Logistics Movement in the plant.
• Developed process charts by comprehending various processes at the plant.