Shabareesh Raj

- Leading analytics strategy and roadmap development for all Landmark India brands (Ex. Lifestyle, Max, Home Centre, Spar, etc.). - Ensuring the implementation of analytical solutions in areas like Customer Value Management, ECommerce, Inventory Management & Markdown Optimization. - Responsible for analytics platform design and set-up along with its integration to retail operational systems. - Solution Delivery - Ensure smooth operating model between on-shore & off-shore team with higher than expected quality & timelines on advanced analytical projects - Extensively used linear regression, optimization, simulation, time-series modelling, R, SAS etc. - Responsible for improving Pricing and Inventory decisions using cutting edge analytics : - Developed markdown optimization algorithm to boost promotion effectiveness - Built algorithm to improve on-shelf availability via better inventory planning - Optimized key supply chain parameters for replenishment systems - Time series modelling, ML based forecasting, Ensemble forecasting, Inventory Optimization, Demand Planning - Demand Forecasting expert and Product owner for inventory management solution: - Designed and developed a robust forecasting architecture and leading algorithm enhancement sprints - led development of demand planning solution for multiple business and product types - Responsible for driving enhancement, innovation and ROI of the solution have led through complete product life-cycle; - leveraged cross functional teams in agile framework, requirements gathering, thought leadership, algorithm development and deployment - Leading Data Science and Data Engineering team responsible for building analytical products to improve key processes and operations - Focused on problem solving in multiple retail domains like customer, marketing, demand forecasting, pricing, supply chain, logistics and general merchandising

➢ Built a BI and Analytics team from scratch setting up business intelligence tools like RJ Metrics, Big Query, Looker, Google analytics and Power BI ➢ Monitor key metrics such as revenue per unit, gross margin, provisioning liquidation, conversion, average order value, customer acquisition, top performing styles, etc. ➢ Manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources. ➢ Reporting and dashboards involving very large datasets and multiple data sources, with the ability to interpret data and produce meaningful insights. ➢ Ability to handling and integrating large volumes of data from various sources and automation of reports on the data as per specifications. ➢ Analysis of the data from initial phase and providing actionable insights to product and marketing team. ➢ Knowledge of working with Excel Pivot/Lookup’s and macros to Perform daily, monthly, quarterly and annual data values updates and system checks. ➢ Strong knowledge of and experience with reporting packages, databases (SQL etc.), programming (Python, ETL frameworks)- Knowledge of statistics and experience using statistical packages for analyzing datasets using Excel. ➢ Influence various teams/stakeholders within the organization to meet goals & project timelines. ➢ Ensured insights are delivered by utilizing all the data from Google Analytics and Google BigQuery. ➢ Interpret data, analyze results using statistical techniques and provide ongoing reports. ➢ Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. ➢ Acquire data from primary or secondary data sources and maintain databases/data systems-Identify, analyze, and interpret trends or patterns in complex data sets-Filter and -clean-data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.

Working as a Data Scientist - Assistant Manager of the Business Intelligence & Analytics team providing analytics and consulting solutions to worldwide clients and KPMG member firms. Key responsibilities include client delivery, people management, client engagement, data analytics, and project/program management. • Managing end-to-end delivery of BI & Analytics solutions for global clients including solution development, resourcing, budgeting and project management • Developed multiple Proof-of-Concepts (POCs) and client deliverables using R and Alteryx for leading global players Key Projects: - He has developed a Spend Analytics solution using Alteryx to normalize vendor names and categorise different spend into the taxonomy and Qlikview for reporting and analysis - He has worked on SKU Rationalization project to compare SKUs and brands contribution to the capital being used to make initial “keep vs. don’t keep” decisions by using total economic contribution generated by each SKUs, as well as the total “value loss” from unprofitable SKUs - He managed a working capital analytics project to effectively monitor the accounts receivable/payable department to identify the effectiveness of the firm’s collection process

Lead Retail space range and merchandising analytics team of nine analysts/senior analysts for TESCO Stores in UK, Republic of Ireland, Central Europe (Slovakia, Czech, Poland, Hungary and Turkey) and Malaysia building predictive models and providing market intelligence and insights to the business Performed market basket Analysis for various categories to help the planners in product placement and promotional offers Conducted various ad hoc promotion campaign analyses on product range. Producing various analyses to support trade planning and making recommendations on category performance of Promotions and Events and feature space. Analyze the performance of trading stores to understand how to use space optimally in those stores and make recommendations for space changes. Space Strategy for Tesco Stores in UK – Understand the purchase trends according to store formats, new opportunities based on consumer demography, purchase patterns, market baskets. Performed various ad hoc analysis and reports with important KPIs to help the stakeholders in effective decision making. Ability to translate business problems into actionable data driven solutions and manage projects involving multiple stakeholders across different time zones Have extensive experience and good knowledge in various data analysis techniques and statistical modelling Provide thought leadership and innovative ideas to develop differentiated solution & services in Retail and Active participation /leading consulting /architect solutions to business problem areas. Play a key role in growing our Retail solution, services and offerings globally.

Involved in campaign budgets and target segment of customers. Created various segmentation for the Customers to be targeted for campaigns. Creating meaningful and actionable analysis and thus enabling the marketing team to develop customer focussed strategies. Interacted with marketers/Operations team to understand the business practices and deliver applicable solutions. Make recommendations using analysis results to be input into marketing team action plans. Perform market research and study competitive landscape. Identifying prospects and pre sales pitch. Interacting with clients and gathering the requirements and preparing a business case model. Constant touch with clients in getting feedback about products and inputting it to developers for next version.