Ritesh Garg Email and Phone Number

Managed the customer loyalty program at the largest retailer in the southern USA- Initiated the creation of a loyalty program from the ground up, focusing on customer engagement through in-depth analysis of spending behavior which ensures more participation and satisfaction- This involved designing offer pools, crafting campaigns, and enhancing the experience to increase loyalty retention, trade up spends, improve churn, and achieve the desired SCR from the programLed the customer engagement and media campaign team of Canada’s largest retailer - Managed retailer’s loyalty card programs and ran a variety of ML-based campaigns ranging from personalized weekly offers to rewarding loyal customers to win back lost customers- Helped the retailer in evaluating the campaigns and identifying the drivers of each campaign. ML-based science has been used to identify the uplifts, customer interests, and behaviorLed the key initiatives for business and played a pivot role in team management- Spearheaded an initiative to automate processes and establish unified solutions to enhance operational efficiency and improve consistency in our approach to various challenges across the company- Lead the training of recent graduates, enabling them to perform at the same level as experienced team members. Additionally, provided guidance to employees on Performance Improvement Plans (PIPs), helping them steer their careers in the right direction and reach their full potential- Conceptualized and executed multiple initiatives aimed at enhancing the company culture, raising the bar for quality standards, and fostering growth opportunities for our employees

An integral part of the insights team of Africa’s largest retailer- Pricing & Promotions Strategy – designed the pricing & promotions strategy for products that guide the team in selecting the right strategy for various products by facilitating the importance of a product for the customer and their elastic behavior. Adding to this, automated the end-to-end process which results in saving of ~6 weeks of manual efforts.- Products’ Pricing Optimization – designed a full-fledged simulation tool, which suggests the price of a product based on the minimum margin requirements, competitors’ price & promotion cycle, to drive price perception among customers and ensures incremental growth- Core minimum assortment – identified the least possible set of products, which caters to all the customers’ needs and drives engagement in the stores, based on the customer's behavior pattern using the clustering algorithm to classify different needs and further trim similar products based on their importance

Managed the supply, network & planning team of the world’s largest sports retail company-> Long term inventory planning tool – designed a scenario-based planning tool for inventory operations team to better plan the requirements for the coming FYs based on current run-rate & future goals, through an effective collaboration with the key business stakeholders.-> Inventory target setting tool – designed a tool to set various inventory & supply targets at Geo level to meet the demand for the coming FY. This tool also helps in track the compliance of the set targets and highlight red zonesAlso, responsible for stakeholder’s management with delivering the solutions on time and enhance relationship to look for business development opportunity.

Integral part of marketplace team of the world's largest sports retail company Demand & Supply Optimization - designed a real-time comprehensive and simulation tool which highlights the problematic areas and predicts the best solution to help in planning the supply w.r.t. forecasted demand Demand Transfer Probability - identified the set of sister products from the product pool based on their features using random forest and Gower’s algorithm and estimated the probability of demand transfer that occurs when a customer buys a substitute sister product if the product of his/her choice is out of stock Provided quick solutions to support business functions using various statistical algorithms – target optimization, range planning, clearance forecast, market basket analysis for selected products, etc.Led the compliance team for one of the world's biggest tech firm Managed creation of service health scorecard and Azure-based big data analytics to transform services’ insights department’s capabilities from descriptive insights to advanced predictive analytics Developed ETL packages to build various analytical datasets as part of data engineering effort supporting multiple dashboards Managed various dashboard and designed a comprehensive dashboard to help the global compliance team to track various KPIs, drive the good compliance rate, and highlight non-compliant areasNon delivery responsibilities  Created and executed multiple initiatives to improve cultural, quality and growth across the business  Strategic planning, mining and farming to identify potential business opportunities with the client  Build POVs and POCs to maximize returns from analytical capabilities for clients

Provider management for the world's largest insurer  Built a provider management application using descriptive analysis to assist negotiators in driving effective price negotiations with various healthcare & dental providers Identified relatively expensive & suspicious providers using extensive data analysis, and anomaly detection which led to the reduction in waste & abuse, and saved significant pay-outsFraud detection for the world's largest insurer Identified signals which are indicative of phishing activity which leads to the development of a statistical model that identifies the suspicious claims based on the score provided by the model Designed a fully-automated fraud detection system (using logistic regression) for an insurance company to detect, score, and generate a report (using SPSS & Excel-VBA) of potentially fraudulent claims