William Powell Email & Phone Number

Quincy, Ma, Us

At SFL Scientific we look to solve complex business using novel analytics and custom AI tools developed to make the most business impact. We provide a completely custom consulting lifecycle, with solutions in data science education, data strategy and use case development, big data modeling, predictive analytics, and data product development.Modeling: Deep learning, machine learning, data visualization, predictive analytics, natural language processing, and Artificial Intelligence .Languages: Python, R, Julia, Scala, Pig/Hive/NoSQL Tools: Apache Spark, MLlib, Tensorflow, keras, Caffe, Scikit-learn, Azure ML, Amazon ML, Neo4J, D3.js, R-Shiny, Hadoop, and many more.

With more than 180,000 people in over 40 countries, Capgemini is one of the world’s foremost providers of consulting, technology and outsourcing services. The Group reported 2015 global revenues of EUR 11.9 billion. Together with its clients, Capgemini creates and delivers business, technology and digital solutions that fit their needs, enabling them to achieve innovation and competitiveness.Tools & Development using Python, C/C#, Unity, Django, Amazon Web Services, Machine Learning, Spark, Hadoop, H2O, R, SAS, SQL, D3.js, and many more.

• Partnered with data and IT leaders (SFA, CRM, Patient, etc.) to drive multi-channel digital and analytical insights to drive adherence & engagement• Enabled Pharmacovigilance research and protocols; defined and established process and development methodology and oversaw and managed development team throughout entire development life cycle.• Managed and mentored a team of diverse skills including senior software engineers, analysts, and testers towards the design and development of various applications spanning different technologies (Python/Django, J2EE, JavaFx) and various operating systems (Unix, Windows, Mac OS).• Created custom project proposals: Designed an internal custom proposal package including high-level solution design, component cost estimations, recommendations, options, assumptions, risk-adjusted cost estimate ranges, project timeline, resource planning, and vendor selection.

• Consulted in the healthcare and R&D group using machine learning and other computational approaches to unify large and real-world datasets.• Used quantitative analytical method such as correlation, commonality, and classification analysis to identify process issues within the business. • Developed new algorithm and analytical method to extract critical information from large and complex dataset with tens of features.• Worked on large-scale mapping and NLP project to unify data from clinical trials, drug, and patient information.• Developed custom research data visualization applications.

Doctor Of Philosophy - Ph.D., Biophysics

Bachelor Of Science - Bs, Physics