I am a seasoned Data Scientist with over 10+ years of experience at McKinsey & Company, currently based in NYC. In my role as a Data Science consultant, I bridge the gap between business leaders and data managers, driving the adoption of data and analytics across diverse organizations. I provide strategic guidance and data-driven solutions to a wide range of clients in the Banking, Manufacturing, Telecommunications, and Technology sectors. My expertise encompasses managing end-to-end analytics projects, from identifying use cases to deploying machine learning and deep learning models, with specialized experience in natural language processing (NLP) and computer vision. I collaborate closely with management executives to enhance strategic planning and overall performance by uncovering hidden patterns in data and developing advanced analytics models to optimize operations. I am committed to continuous learning and believe that applying engineering thinking and leveraging historical insights to drive customer-centric outcomes is key to future success. Expertise: - Deep Learning, Computer Vision, Natural Language Processing (NLP) - Machine Learning, Predictive Analysis, Regression Techniques - Credit Modeling, Early Warning Systems, Survival Analysis, Predictive Maintenance - Clustering, Text Mining, Fuzzy Logic, Image Processing, Big Data Ecosystems - Market Segmentation, Time Series Modeling Industry Focus: - B2B Churn Risk Models, Strategic Workforce Planning, Manufacturing Operations Optimization - Banking, Risk Management, Credit Underwriting - Operations, Marketing, Supply Chain Management, Sales and Operational Planning, ERP Systems