Principal Data Scientist at Radcom (working with Rakuten) with 15+ years of experience delivering large-scale AI, Machine Learning, Big Data, and analytics solutions across Telecom, Automotive, Real Estate, IoT, CRM/BSS, Security Solutions, and AI infrastructure domains. Worked across global environments with onsite experience in the USA & South Korea, focusing on solving real-world business challenges using scalable data-driven approaches. Specialized in: • Telecom & Network Analytics • PySpark & Large-Scale Data Processing • Machine Learning & Deep Learning • Customer Growth, Churn & Revenue Optimization • AI/ML Infrastructure & Compute Strategy • Executive-Friendly Data Storytelling Hands-on experience with petabyte-scale analytics, ETL pipelines, forecasting, NLP, LSTM, feature engineering, dashboarding, and production-grade AI workflows using technologies such as Python, PySpark, SQL, Hadoop, Databricks, AWS, Tableau, TensorFlow, and Scikit-learn. I enjoy mentoring students and professionals in: • Data Science & AI Career Growth • Real-World Industry Analytics • PySpark & Big Data • Machine Learning Project Guidance • Interview Preparation & Problem Solving • Executive Communication with Data My focus is always on practical industry knowledge, scalable thinking, business impact, and helping others become industry-ready rather than only theory-focused.