AI/ML and Analytics Strategy consultant, worked in diverse geographies and possess 11+ years of experience across Banking and Financial Services Sector(product based, start-ups, investment bank and consulting) in analytics, insights and data strategy with a stronghold on data, statistics & BI technology with expertise in consumer and commercial banking solutions. In my current role at S&P Global Crisil, my responsibilities as an AI lead include business development, sales enablement and creating AI/ML solutions for the banks globally as a part of newly incubated CoE. In my last role at Ocrolus, I was responsible for designing product analytics strategies and at BCG , I worked with BFSI clients globally supporting their digital growth and optimisation strategy. Previous experience includes working at Goldman Sachs where I overlooked the consumer risk analytics for Marcus across US and UK geographies for GS Bank(consumer and commercial banking) and Investment Management Division. At American Express, handled the campaign management and analytics for US market(consumers and small business owners) as a part of transaction banking. Worked in the Risk & Information Management function and was responsible for system analysis, architecture and design of database marketing and customer scoring capabilities & lifetime value framework. Overlooked Business Analysis for Custodian Services under Securities, Equities & Lending at Standard Chartered Bank and various freelancing projects using Data Analytics. Skill set : Domain – Product Management(Banks), Credit Risk, Regulations, Strategy, Fraud, AML, Statistics, Machine Learning, Credit Cards Analytical Tools – Python (Spyder & Jupyter), SAS Analytics, PL/SQL (Oracle SQL Developer and Toad), Excel, R Programming Visualization Tools – Tableau, Alteryx, OBIEE, Redash Generic – Log Analysis, Unix Scripting, C++, FSD/BRD Design, Apache Hive, AWS, Prompt Engineering, Git, PySpark Python Libraries – Pandas, NumPy, SciPy, Matplotlib, TensorFlow, Keras, scikit-learn, OpenCV, NLTK, Spacy, Bert, PyTorch Database – Snowflake, Redshift, Databricks Techniques - API-based LLMs, Regression, Classification, Neural Networks, Decision Trees/Random Forest, XGBoost, Clustering LLM Modules - Langchain, LlamaIndex, OpenAI MLOps – AWS Sagemaker, evidently.ai, Kubeflow Email: vibhanshujain92@gmail.com