Summary
Anubhav Anand is a Senior Member of Technical Staff at Oracle with eight years of hands-on experience building software and machine learning solutions across fintech, analytics, and consumer apps. He holds an integrated BTech+MTech in Mathematics and Computing from IIT (BHU) and is proficient in C/C++, Java, SQL, data structures, and algorithms, with practical experience deploying supervised and unsupervised ML models. His background includes clustering UPI complaint logs at Samsung Pay, improving fraud-claim detection accuracy using Random Forests, and research on human–robot intimacy estimation using multimodal signals. Equally comfortable in production engineering and data science, he brings a rigorous mathematical foundation to real-world problems and a track record of lifting model performance in noisy, operational datasets.
8 years of coding experience
CBSE (XII), 93.2%, CBSE (XII), 93.2% at Sunbeam School, Varanasi
Integrated Dual Degree (Btech + Mtech), MATHEMATICS AND COMPUTING, 9.26 CGPA, Integrated Dual Degree (Btech + Mtech), MATHEMATICS AND COMPUTING, 9.26 CGPA at Indian Institute of Technology (Banaras Hindu University), Varanasi
Hindi, English