About

Aarya Rai is a self-driven professional with 4 years of experience in Data Science and Machine Learning. She holds a Master’s degree in Business Analytics with a specialization in Data Science. Aarya is currently working as a Data Scientist at Infovision, where she handles multiple internal and external clients. Prior to this, she was employed as a Senior Software Engineer at UnitedHealth Group, a top Fortune 500 company, where she worked on Data Analytics, Predictive Modeling, Software Development, Data Warehousing, and Automation. Aarya is a graduate of National Institute of Technology (NIT) Allahabad with a B.Tech degree. Her areas of interest include Data Science and Machine Learning. She is a focused, dedicated, and enthusiastic person with a versatile personality who blends well with people. Aarya is appreciated for her structured thought process and balanced approach to address challenges. Her fascination with data-driven solutions has always aided her strategic thinking and decision-making capabilities. Currently, Aarya is working as a Machine Learning Engineer at Infovision, where she has developed real-time multicamera multi-person detection and tracking models using deep learning models. She has also developed an edge detection methodology using Regression and K-Means Clustering for automatic store calibration. Aarya has designed architecture and system design (design patterns, reliability, and scaling) of new and current systems. She has detected and identified store products using a custom YOLO model and assigned them to a person’s account on pickup. Aarya has worked on various tools and technologies, including Python, TensorFlow, MongoDB, Redis, Depth Cameras, and CUDA. Aarya has also worked as a Graduate Teaching Assistant at the University of Texas at Dallas and as a Data Science Intern at Conexio. At Conexio, she worked on unsupervised learning techniques for anomaly detection and developed microservices using Flask framework for sorting, filtering, and aggregating telematics data using Python. She also developed an interactive dashboard in Tableau to provide tracking of various KPIs of router devices. Aarya’s education history includes an MS in Business Analytics from the University of Texas and a Bachelor of Technology from MNNIT Allahabad. Her tech stack includes ML, Data Scientist, Research Scientist, SQL, Software Engineer, Computer Vision, Edge Detection, Python, Deep Learning, Redis, TensorFlow, MongoDB, UI, Flask, Seaborn, Scikit, Pandas, and Microservices. With 6.02 years of relevant experience, Aarya is