Deepan Anbarasan Email and Phone Number

● In charge of product development in conjunction with internal domain experts, managing technical expenses, guiding team members, interacting with external partners and clients.● Led the development of a Wi-Fi-based, low-cost automatic passenger counting (APC) system for public transport vehicles, achieving 82% accuracy in real-world testing while reducing costs by over 50% compared to commercial systems.● Collected data using IoT devices (ESP32) and performed pre-processing and data analysis of geospatial and time-series data with statistical models, machine learning algorithms, and deep learning models.● Implemented a microservices-based backend using REST APIs and MQTTS with Flask, Docker, AWS, and Heroku, and employed MongoDB for data storage and management.

● Researched and assessed new technologies, aiming to enhance understanding of mobility patterns using surveys● Oversaw the development of an In-house multi-modal mobility tracking application and to reduce operational costs fortransport operators● Utilized statistics and data analysis methods with help of tools such as Python, Pandas, and NoSQL databases towards understanding user mobility patterns.

● Duties involved business requirements gathering and analysis, work estimation, development, technical support and maintenance of modules in workforce forecast & management and renumeration management tools.● Improved the labour forecast & management tool for store managers of a large retail chain with more than 1000 stores, leading to a 30% improvement in loading time resulting in estimated savings of up to $650,000 per year.

● Worked on backend application development, technical support, and maintenance for a labour forecast and labour management tool in a large retail chain (using Java, Spring framework, and Oracle SQL).● Improved a renumeration management tool which enabled supervisors to quickly create and modify renumeration plans for the employees and resulted in a decrease in processing time for payment to employees by 10%.