• Develop an advanced machine learning ensemble model (Non-linear Optimization, KMeans Clustering, Price Elasticity) to determine the optimal pricing strategy for exit SKUs • Revamp the markdown strategy at Petco using advanced data science algorithms and help achieve ~$1.7M in markdown savings for fiscal year 2019• Create an in-house data analytics tool in rShiny, that can be leveraged by business stakeholders which will reduce resource usage by ~10 times • Using Self-Organizing Maps (Neural Network) technique to determine the Key Value Categories and Key Value Items for the business to attract value conscious customers through pricing and maintain optimal levels of inventory for those products• Conduct cohort analysis at store level for all Pet Coach Concierge stores to determine the success traits (Spend per customer, Sales trend, Market Basket) and helped design go-forward strategy for the program • Analyze the change in customer behavior for all the Vet remodeled stores and helped make strategic decisions for long term action plan on Vet Stores • Design advanced dashboards in Tableau and MicroStrategy Dossier to visualize the on-going performance of markdown test through business KPIs • Help develop a traffic driver model which will do time-series forecasting for transactions at Petco stores

• Developed new pricing models and initiatives that helped the Merchandising team make the best decisions to maximize promotional lift, strengthen vendor performance, and drive strong return on investment (ROI)• Leveraged advance analytical techniques and statistical programming languages to find patterns in customer purchase behaviors, competitive pricing, and sales performance trends (regression analysis, price elasticity, significance testing) • Helped design and develop workflows to automate dashboards and templates that accurately forecast multiple pricing and merchandising scenarios to streamline the decision-making and execution process• Analyzed the sales and customer metrics for all SKUs and identifying the Key value items using a clustering approach for Ecommerce and Brick & Mortar SKUs• Identified the optimal price point for key value items and determining the lift in sales due to price changes • Analyzed the customer behavior during a promotional period using a tableau Dashboard to determine the effectiveness of promotions and suggest recommendations for discount depth and promo cadence• Constructed market basket analysis reports to devise cross-category promotion strategies and maintain the category sales margin to design joint business promotion plan to increase sales

- Explained challenging quantitative business intelligence concepts to graduate level students- Worked with students to determine study needs and address problems effectively- Participate in the assessment process to provide timely and appropriate feedback to students in order to enhance their learning experience- Managed course content through e-Learning Management Systems- Provided students with one-on-one tutoring and regular out of class assistance

- Performed thorough analysis on cost structure of key-accounts department and identified the root cause for low profit margins - Transformed product distribution model from direct to indirect distribution services by analyzing the customer’s product portfolio to reduce cost by 25%- Conducted customer insight analysis through feedback forms, sales pattern, surveys and focus group interviews to support cost minimization decision making - Constructed market basket analysis reports to devise cross-category promotion strategies and maintained the category sales margin to design joint business promotion plan to increase sales by 15% - Constructed business dashboards to conduct trend analysis of revenue and pricing in order to identify opportunity gaps which can drive incremental volume, customer retention and salesperson productivity - Developed and measured price elasticity reports to determine the effectiveness of marketing campaigns and sales promotion activities - Managed business relationship with key accounts and delivered annual sales target with a growth of 20% - Liaised between production department and key accounts department to ensure alignment of inventory planning and forecast by constructing inventory rolling estimate reports- Created account receivable aging reports and performed comprehensive analysis on customer characteristics to recommend strategic plans for minimizing bad debts less than 5% - Implemented a credit limit approval process for new customers and created credit limit for current customers based on financials and historical sales performance - Analyzed sales force effectiveness through monitoring KPI’s and provided suggestions for improvement

- Analyzed clients’ historical financial information to identify amount of risk in lending and to determine the future paying capacities of clients which minimized default rate to 5% - Assessed financial strength of clients through earning and spending capacity, which includes analysis of financial statements to create a structured suitable amortization plan which safeguards repayment of the same- Conferred with clients to assess their financial transactions and to reduce complaints ratio to 5% - Conducted credit worthiness and credit history research of loan applicants and collected information required to process loan and perform underwriting analysis- Segregated and prioritized the accounts which showed continual operational issues and maintained filing for all clients who filed for bankruptcy which can be used for future reference - Worked in-line with FOREX department to identify new areas of business growth and supported the business process in sanctioning Letter of Credit