Senior Analytics Engineer
CurrentBuilding the Social, Healthcare and Public Sector practice tech - Led the end-to-end design and development of databases and ETL pipelines on DataBricks for healthcare data, focusing on segmentation, retention modelling, and optimizing data workflows.- Collaborated with national payors and government agencies to enhance outreach initiatives and co-develop innovative healthcare products.- Worked as part of a Consumer team, partnering with payors to design solutions targeted at Medicare and Medicaid populations, improving care management and patient engagement.- Engaged with healthcare providers to optimize care management strategies through data-driven insights and personalized care solutions.- Deployed unsupervised ML models, such as K-nearest, on survey data to inform product design and tested efficiency using advanced methods like XGBoost.- Implemented and fine-tuned supervised ML algorithms, including Random Forest, Decision Trees, and SHAP plots, to evaluate feature importance and ensure model accuracy in predictive healthcare solutions.- Collaborated cross-functionally with internal teams and external clients to develop models for pricing, claims, and consumer engagement, driving client growth, flexibility, and market reach.- Architected scalable client data solutions, including data lakes and warehouses, with robust data wrangling, integration, and mapping processes, ensuring seamless scalability.- Built and automated interactive, analytics-driven dashboards using Tableau and PowerBI, delivering actionable insights to clients and integrating them with cloud-based infrastructure.- Developed and maintained comprehensive documentation for data pipelines, ETL processes, and BI dashboards to ensure consistent knowledge transfer and reduce onboarding time.- Provided one-on-one mentoring and coaching to junior engineers and analysts, fostering a knowledge-sharing environment.
