“The goal is to turn data into information, and information into insight.” — Carly FiorinaAs a Senior Decision Scientist at CVS Health, I focus on leveraging machine learning and AI to enhance patient experiences. My role involves solving business problems with analytical solutions, such as using predictive modeling to optimize labor planning. Beyond building models, I work to understand and streamline complex processes to improve patient convenience, adherence, and overall experience.Before joining CVS, I was a Management Consultant at Kearney in their Digital and Analytics Practice. In this role, I combined technical expertise with business strategy to help clients deliver substantial business value. I specialized in AI and advanced analytics, particularly Natural Language Processing (NLP), Generative AI, and Prescriptive Modeling. My primary strength was transforming complex data into actionable insights that informed strategic decisions and drove business growth.During grad school, I led teams to win case competitions and presented at major US conferences(PyCon and INFORMS), showcasing my leadership and collaboration skills. I thrive in cross-functional and multicultural environments, using analytics to make a real business impact.In undergrad, I led a research project on “Assembly line balancing with machine and skilled worker constraints,” where my team and I developed three optimized models with rapid results.Interests: 🏸 Badminton Enthusiast, 🎲 Board Game Geek, 🌎 Independent Traveler, 🎨 Artist, and 🍳 Aspiring Cook.💻 Technical Skills:Machine Learning (Scikit-Learn, SciPy, Pandas, NumPy)Deep Learning and NLP (nltk, Keras, TensorFlow, JoeyNMT)Data Visualization (PowerBI, Matplotlib, Seaborn, Rshiny, Tableau)Language and Tool (Python, SQL, R, HTML, Excel VBA, Alteryx)