Jul 2015 – Apr 2017 · 1 yr 9 mos · Gurugram, Haryana, India

• Deep dived in statistical modelling and hypothesis testing to create a robust analytics support across verticals.
• Risk Management Program – Customer Profiling (Risk Analytics):
• Designed Customer Rating Intelligence System (CRIS) comprising of three different algorithms to bucket customer behaviours on the basis of 100 million orders and 15+ customer attributes. This led to a calculated risk against each order in order journey, eventually to a more genuine and loyal customer base.
• Increase Contribution Margin of suborders (Predictive Analytics):
• Developed a logistic regression model with an input of 150+ order attributes and 52% precision (top decile) to forecast the probability of an order being cancelled during different stages of order. The techniques used here were WOE, IV, variable binning, Decision Tree(CART) and finally logistic regression. This helped in targeting potentially non-delivery orders and hence, in reducing the logistics cost associated.
• Frictionless Order Experience (Web Analytics):
• Mined online order tracking and web analytics data for insights into customer behaviour and grievances and subsequently upgraded process flows to counter the historically observed flaws. Created new customer complaint categories to better bucket customer problems. This resulted in a 20% decrease in customer complaints and increased perfect order flow.

Apr 2014 – Jun 2014 · 2 mos · Dispur, India

• Researched the scope for financing downstream industries based on upcoming Assam gas cracker project.
• Surveyed the current demand-supply scenario and inferred that approx. 1250 downstream plastic processing units would bring in an investment of nearly Rs. 4400 crores.

May 2013 – Jun 2013 · 1 mo · Mumbai Metropolitan Region

• Developed seven different alkyd based refinish paint shades in Auto-Refinish Laboratory which were later approved for mass production in Lote Plant of KNPL.
• Investigated paint mixtures from Lote Plant for defects/ impurities with the help of techniques such as Atomic Absorption Spectroscopy (AAS), Gas Chromatography & High Performance Liquid Chromatography.
• Reviewed the process of AAS for enhanced efficiency with respect to its digestion process.