Arvind Rajendran Email & Phone Number

Tempe, Arizona, United States

• Developed a KNN clustering model on tokenized customer complaints to discover gaps in service, achieving a 30% reduction in customer complaints and saving $1.3M in guest refunds annually.• Managed projects for pricing and value analytics for bundling multiple menu items at a fixed discount, successfully driving revenue by 9% and customer retention by 16%.• Leveraged insights from various A/B tests to engineer a targeted marketing strategy by analyzing click-through rates, conversion rates, and customer retention, resulting in a 34% enhancement in Return on Ad Spend (ROAS).• Generated annual savings of $400,000 by optimizing delivery cadence, empty miles, and routing which reduced loading times, material handling, and delivery costs across the network.• Collaborated on 12+ Limited-Time Offers (LTOs) and 30+ promotional campaigns boosting revenue by 27% annually.

Tempe, Arizona, United States

• Achieved 97% accuracy in forecasting with ARIMA on non-stationary data to support sales, staffing, and product objectives.• Developed a Neural Network machine learning algorithm to forecast revenue at potential real estate using ESRI Data, leading to an 18% reduction in rent metric.• Decreased purchasing expenditure by 19% using regression to predict future growth in sales volume and raw material needs to negotiate contracts of raw material prices of 40+ SKUs.• Designed automation pipelines using SQL Server Integration Services (SSIS), and batch scripts to streamline and ingest data to reduce manual tasks by 60% across 150+ locations.• Identified potential liabilities across the supply chain using a custom driver-based forecasting model to mitigate $400,000 of raw material waste.• Built and deployed Dashboards in Tableau to display sales mix trends, inventory health, COGS, and 4-Wall EBITDA.

Tempe, Arizona, United States

• Performed literature survey and studied effects of multi-variable optimization techniques on real-world discrete systems.• Developed an ETL pipeline to help convert raw unstructured data into actionable information, reducing manual tasks by 80%.• Supported PhD students in crafting SQL queries to extract data for the testing and training machine learning models, including AdaBoost, SVM, and Random Forest.

Tempe, Arizona, United States

• Analyzed third-party consumer data to gain insight for targeted marketing efforts to drive footfall and revenue by 17%.• Doubled sales by 30% by predicting customer churn using Logistic Regression on grouped market data.• Utilized Machine Learning to develop a customer clustering model to explore and gain insights into consumer groups.

Coimbatore, Tamil Nadu

• Cut Down monthly inventory retention costs by 30% by updating safety stock reconciliation policies.• Trimmed data processing time by 20% by enhancing existing SQL code for extracting & loading data.• Provided leadership counsel to management by reporting KPIs through SQL & Tableau dashboards.

Coimbatore, Tamil Nadu

• Shrunk data cleaning time by 80%, through automation using Linux Cronjobs & SQL Stored Procedures.• Presented Projected Vs Observed factory KPIs to managers to drive planning & manufacturing decisions.• Built custom measures with DAX in PowerBI for KPI’s in different use cases to report to senior management.

Doha, Qatar

• Prepared data for analysis after scraping data from documents.• Created charts & reports for structural design projects.

Master Of Science - Ms, Industrial Statistics & Engineering, 3.76

Activities and Societies: Graduate Students Association, Indian Students Association.

Bachelor Of Technology, Industrial Engineering, 8.78

Activities and Societies: Festember, Pragyan, Technical Council