📒 Experience : Driven and analytical professional with over 8 years of experience specializing in data science and machine learning within the healthcare , life sciences and insurance sectors. Currently, I lead a data science team at Chubb, focusing on insurance risk and fraud modeling through advanced AI methodologies, including RAG and LLMs. My role involves identifying potential fraud claims and enhancing model accuracy through innovative information extraction techniques from unstructured claims data. Previously at Axtria, I managed marketing optimization projects for leading pharmaceutical brands, particularly in the oncology space, where I developed and executed omnichannel marketing strategies that significantly impacted drug adoption and prescription behaviors. My earlier experience at EXL saw me grow from a Business Analyst to a Manager, where I harnessed cloud technologies (GCP) and machine learning to drive business growth in health insurance, particularly optimizing marketing strategies and enhancing patient outcomes. During this period, I was privileged to work with a Top 10 Fortune Global 500 client in health insurance, where I focused on utilizing machine learning and data science methodologies to catalyze business growth🔖Key Skills and Expertise: Machine Learning & Data Science: Proficient in algorithms such as Random Forest, Decision Trees, Natural Language Processing (NLP), Principal Component Analysis (PCA), k-Nearest Neighbors (k-NN), and regression techniques (linear & logistic). Demonstrated experience in both supervised and unsupervised learning. Data Engineering & ETL: Hands-on proficiency in ETL tools including SAS and PySpark, as well as data warehouse technologies such as SQL Server, BigQuery, and Hive. Business Intelligence & Analytics: Strong capability in using BI tools like Power BI and analytics tools such as Python and Visual Basic for data visualization and reporting. Cloud Computing & Serverless Architectures: Experienced in leveraging AWS Lambda and Google Cloud Functions for serverless computing solutions. Domain Expertise: Extensive knowledge of the healthcare domain, with a keen interest in finance/economics, consumer growth strategies, and population health. I am passionate about applying innovative technologies to solve real-world challenges and advocate for open-source solutions and collaborative initiatives within the analytics community.