For a micro-investment FinTech client -• Developed a clustering model for customer segmentation and worked on a churn prediction model.• Developed a multi touch alert generation framework based on analysis of user behaviour.• Designed and developed a recommendation engine of investment products to app users.• Delivered a statistical analysis on factors impacting loan default prediction.For a global Quick Serve Restaurant (QSR) chain client -• Designed and developed a logic that identifies substitute and complement products.• Design and deployment of a marketing tool that measures impact of price changes.• Developing a propensity model that predicts the likelihood of a customer purchase.• Developing a customer loyalty logic for product recommendations at checkout.

One Touch Capacity (OTC) model – • It is a linear regression model developed in python. • The model provides the target capacity in terms of number of units of a product that stores have to achieve to ensure optimized store operations.Local Choice project -• Designed and developed an assortment planning tool at store level.• Developed the logic for business to start or end date products before a range change event to ensure greater conformity to the planned range.• It is a completely automated process that provides the store ordering output.Space Variation – • Developed a tool that generates 1000+ pdf reports weekly.• It measures conformity of the store to the floor plan. This ensures the right products are placed at the planned locations in the stores.• It provides a drill down at various levels that enables optimized store operations.Range Change Insights and Planogram dashboards - • Develop a daily refresh Tableau dashboard.• The dashboard provides future vs current comparison of key metrics of store operations - sales based availability, wastage, capital tie up tolerance, one touch percentage and customer perception score.• This enables the category heads in effective planning of range change events.

Store re-formatting & merchandising decision -• Delivered a hypothesis testing framework to help take business decisions such as store reformatting.• The significance testing was performed for change in sales on the re-formatted stores.• The same framework and tool was modified to decide determining increase in space for GM products.Store clustering modification - • Introduced waste and special location parameters to the existing store clustering logic.• Performed a POC to identify stores having special locations such as costal, college campus etc. and the impact of the special indicator on sales.Chilled Re-balance - • Developed a re-balance logic by analysing scenarios of under and over spacing of refrigerated products.• Performed POC of optimal sell off date as a factor of shelf life before which likelihood of sales decreases.

Credit campaigns -• Designed and executed the credit campaign strategy of FY2019 for both businesses (Pros) and end customers (DIY).• Determined the qualifying criteria such as payment tender type, attitudinal segments, geography and appropriate channel of communication.• Developed and presented the campaign effectiveness metrics in terms of uplift of - card sign ups and approvals, engagement response, incrementality, average basket size, average ticket size, sales and visits per account and “One and Done” rate.• This influenced business decisions on the digital strategy of the organization, store advertisement efforts, expanding scope of promotions to incorporate more Merchant Divisions, promote easy pay EMI schemes and additional touch points for both existing and potential card holders.Vendor Funded campaigns – • Designed and executed campaign strategy of FY2019 for thirteen different vendors.• Determined the qualifying criteria such as product affinity, payment tender type, house-hold income, age and geography among others.• Determined customer sizing and appropriate channel of communication.• Presented basic campaign effectiveness metrics.• This led to incorporation of four additional vendors funding campaigns for the next year and a modified framework for the Vendor Funded campaign strategy of FY2020.Pro Behaviour, Movers & Touchpoint Analysis – • Delivered the Recency, Frequency and Monetary (RFM) model as an input to a customer retention model that identifies the business customers that are at risk of attrition.• Analysed pre and post move behaviour of individual customers that have shifted their primary residence that supported the promotions team.• Performed touch point analysis for E-mail campaigns to determine effective re-triggering for multi- touch campaigns.

• Analyse data of network parameters such as data packet loss, jitter, latency and call drops for Ethernet, VPN and VoIP services to identify service faults and derive other key insights.• Worked in projects to improve operational efficiency, optimization of marketing campaigns and customer service efforts.• Identify relevant data sources from multiple sub-vendors and open source sites.• Monitor performance of deployed predictive models.• Developed a capacity planning model that predicts the volume of call support for the next two quarters.• Designed the aggregated monthly marketing campaigns effectiveness report.• Developed a framework that determines test geographies and customers for new product offerings.

Analysing and reporting the vendor life cycle and supply chain management in business models of E-commerce in India.

Redeveloped floor plan for faster material supply and line operator movement to reduce cycle time by exactly 6 seconds. Software used: AutoCAD.

Correction of design defects for various components of ship engine (RT FLEX 96C). Software used: I-DEAS and NX-8.5 Unigraphics.

Worked in key engineering aspects of - "Design and Operation of Balance of thermal power plant" which included eighteen sub systems that support the continuous functioning of Boiler Turbine and Generator (BTG) unit.