Raghu Chandra Katikeri
Vice President, Principal Ai Solutions Architect @State Street
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WORK HISTORY
Vice President, Principal Ai Solutions Architect @State Street
EDUCATION
JNTUH College of Engineering Hyderabad
B-TECH, Electronics and Communications Engineering
International School of Engineering (INSOFE)
Certificate in Engineering Excellence, Big Data Analytics and Optimisation
DON BOSCO HIGH SCHOOL
SCHOOLING
SKILLS
ABOUT RAGHU CHANDRA KATIKERI
14 years of overall experience working with diverse technology stack related to Data Science and Data Engineering.> Have lead AI/ML Transformation for Contact Center AI @ Dell. Architected & Developed workflows for frictionless resolutions to customer queries via emails.> Implemented Deep Learning based classification models to guide customers to appropriate channels(Chat/Email/Voice) for quick query resolution.> Partnered with solution providers like Sprinklr to introduce conversational AI in to Chat. Worked with various clients and have implemented AI/ML solutions.> Maintained CSAT & DSAT scores for AI/ML Virtual Agents on par with Human Agents.> Social Care Analytics - Developed Reporting Dashboards, Models to predict customer escalations on Social, Social Listening Report.> Experienced in developing scalable machine learning models using Spark.> I enjoy identifying potential use cases and then automate them by leveraging AI/ML. Always curious to identify high valued transformational use cases which would benefit business & process.> Experienced in leading cross-functional teams to build scalable and effective data-centric products and strategies, across diverse domains which include Sales, HR, Contact Center, Logistics, Retail etc.> A Trusted Advisory to Business & Senior level executives from Business & Technology.> AI/ML Mentor to Industry Leaders, Senior Professionals & Novice who are trying to understand & learn AI/ML and its adoption in Industry.> Since a while, I have got keep in to exploring Explainable AI which helps me in answering the \'Why?\' of model predictions.Technical & Functional capabilities:Machine Learning, Deep Learning, NLP, CV, Business Analytics, Statistical Analysis and Data Mining, Consulting, Data Visualization, Customer Analytics, IOT, Social Care Analytics, Recommender Systems. Technology strongholds:Python, R, Tensorflow, Keras, Advance SQL, Tableau, PowerBI, AWS, Google Cloud, Kubernetes, PyTorch, Hive, Kafka, MongoDB, MySQL, Spark Streaming My professional goal is to embed AI/ML intelligence in to products/process/workflows to further amplify the benefits & usability of the products.You can contact me @ r••••••••@gmail.com
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