Raj Shah is currently making significant strides as a Data Scientist at Allianz Life, where he applies his expertise in data analysis and machine learning to drive impactful solutions in the insurance industry. With a strong foundation in data science from Carnegie Mellon University's Heinz...
Raj Shah is currently making significant strides as a Data Scientist at Allianz Life, where he applies his expertise in data analysis and machine learning to drive impactful solutions in the insurance industry. With a strong foundation in data science from Carnegie Mellon University's Heinz College, Raj is uniquely positioned to bridge the gap between data-driven insights and public policy implications. His current role involves developing innovative machine learning and natural language processing (ML-NLP) solutions that not only enhance operational efficiency but also contribute to substantial cost savings.
One of Raj's key projects involved the creation of a full-stack ML-NLP solution that successfully reduced compliance expenses by $15,000 annually through advanced techniques such as tokenization and term frequency-inverse document frequency (TF-IDF). This project exemplifies his ability to leverage data to streamline processes and improve financial outcomes. Additionally, Raj has built an automated pipeline capable of running and comparing over 600 permutations of models, including LightGBM, BERT, XGBoost, and various methods from the SKLearn library. This rigorous experimentation led to an impressive ROC-AUC score of .92, showcasing his proficiency in model evaluation and feature engineering.
Raj's skill set extends beyond technical expertise; he is also adept in data visualization tools like Tableau, which he utilizes to present complex data insights in an accessible manner. His leadership and teamwork abilities further enhance his contributions, allowing him to collaborate effectively across departments. As he continues to explore the intersection of data science and public policy, Raj is committed to empowering organizations to make informed decisions that positively impact society.
