Jacob Strock Email & Phone Number

France

Boston, Ma, Us

• Leading the design and development of a data lake, and enterprise data warehouse in a hybrid on-prem/cloud (Azure) system. Integrating diverse data sources (e.g. Snowflake warehouse, API, SFTP sources) to support enterprise-scale reporting, dashboards (PowerBI, Tableau), and advanced analytics.• Designing, training, and deploying statistical forecasting and other predictive machine learning models with Azure ML Services, Python, R, and Spark to enhance budgeting, financial planning, and strategic decision making.• Data migration, testing, and near-complete data ecosystem rebuild during EMR migration from DocuTAP to Experity.• Providing project management, mentorship, and training to junior data analysts

• Creating and deploying TensorFlow deep learning models to optimize laser operation and maintenance choices in semiconductor lithography.• Generating Fabscape plugins for advanced analytics to enable predictive forecasts and proactive maintenance of lithography systems.• Utilizing statistical modeling and diverse machine learning techniques to extract actionable insights from complex lithography data.• Developing cloud and on-premises data storage solutions and pipelines for efficient storage and analysis of enterprise-scale equipment data by leveraging tools including Delta Lake, Spark, Hadoop, Airflow, and Azure. • Implementing Ansible AWX to efficiently manage and orchestrate on-premises cluster resources, including the data lakehouse and Spark cluster stacks. Streamlined resource allocation, configuration, and monitoring processes, resulting in optimized performance and resource utilization for data processing and analytics tasks.

Kingston, Rhode Island, United States

• Provided statistical and data science consulting for the CritCOVIDView Project funded by the Northeast Big Data & Innovation Hub • Developed statistical and machine learning models to analyze the predictive capacity of medication regimen complexity scores and predict patient outcome • Fit time-to-event models to predict risk factors of patient improvement, length of hospital stay, and mortality• Contributed to publishing the analysis and results in the Sage and the Journal of Clinical Medicine

Kingston, Rhode Island, United States

• Automation of data processing and exploratory analysis for CritCOVIDView funded by the Northeast Big Data Innovation Hub• Statistical analysis of patient outcomes of the critically ill in emergency care • Development of statistical models to predict patient outcome under diverse sets of risk factors and care history

Master Of Science - Ms, Statistics, 3.91

Activities and Societies: New England Statistical Society

Bachelor Of Science - Bs, 3.97

Activities and Societies: Summa cum laude with honors, Lafayette Leadership Institute, Marquis Scholar, Excel Research Scholar, Robert.