Priya Menon

Doctoral research focused on Deep Reinforcement Learning for Healthcare Applications. Published 8 research papers in top-tier conferences including NeurIPS, ICML, and AAAI. Dissertation: "Explainable AI Models for Medical Diagnosis". GPA: 4.0/4.0. Recipient of Google PhD Fellowship and Best Thesis Award.

Specialized in Statistical Machine Learning and Big Data Analytics. Master's project on "Predictive Analytics for E-Commerce Recommendation Systems". GPA: 9.4/10. Gold Medalist - Best Academic Performance. Teaching Assistant for Advanced Machine Learning course.

Graduated with First Class with Distinction. Completed comprehensive coursework in Algorithms, Data Structures, Machine Learning, Database Management, and Software Engineering. President of Women in Technology club. Dean's List all semesters. CGPA: 9.2/10.

• Lead team of 12 data scientists developing large-scale machine learning models for search and recommendation systems
• Built neural network architectures processing 100M+ daily user interactions with 95% accuracy
• Published 5 research papers in NeurIPS and CVPR on transformer models and computer vision
• Reduced model inference time by 60% through optimization and distributed computing strategies

• Developed predictive analytics models for AWS cloud cost optimization, saving clients $50M+ annually
• Built real-time anomaly detection systems using deep learning for infrastructure monitoring
• Led cross-functional collaboration with 50+ engineers on ML infrastructure improvements
• Mentored 8 junior data scientists and conducted internal ML workshops for 200+ employees

• Developed recommendation engine improving user engagement by 35% and revenue by 25%
• Built customer segmentation models using clustering algorithms for personalized marketing campaigns
• Implemented A/B testing framework for data-driven product decisions
• Created real-time dashboards using Tableau and Power BI for business intelligence