Jackson Feng
Senior Staff Data Scientist, Senior Director @Travelers
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WORK HISTORY
Senior Staff Data Scientist, Senior Director @Travelers
EDUCATION
The Johns Hopkins University
Ph.D., Applied Math and Statistics
The Johns Hopkins University
Degree: MSE, Computer Science
The Johns Hopkins University
Degree: MSE, Mathematical Sciences
ABOUT JACKSON FENG
Experience in building and leading machine learning engineering, analytics, and data science teams comprising both leaders and individual contributors. Skills at operating in a complex, cross-functional organization where teams need to collaborate and integrate with others across multiple disciplines. Enjoy having a strategic impact to the executive level, including interacting with other leaders on intricate issues and applying strong judgment and analysis toward important business decisions. Able to attract, retain and develop top talents. Able to effectively lead, motivate, and train teams to produce levels of performance in line with industry best practice. Collaboration with colleagues on every level and external stakeholders. Expertise in machine learning, deep learning, cloud computing, AI, NLP, computer vision, statistical modeling, Big Data, and python/c programming. Technically sophisticated full stack Data Scientist with extensive experience and passion for the design, development and deployment of high-quality NLP, Artificial Intelligence and Data Science solutions in cloud and on premise to solve complex commercial problems while driving efficiency and productivity across the organization. Solutions-oriented and result-driven professional with a desire to create practical and effective tools and processes to overcome obstacles and achieve operational goals. Passionate about building large scale and low latency AI / machine learning solutions.ACCOMPLISHMENTSBuilt a solid theoretic foundation for analytically calculating the probability to observe any given string in a long sequence. The result was presented in a talk at a 2007 international conference with over audiences and published as a research paper in Bioinformatics. This theory plays an important role in the pattern recognition for sequence data such as natural language texts and DNA/protein sequences. CORE COMPETENCIESMachine learning |Deep Learning |Algorithm Development | statistical modeling | large-scale data processing | AI |Big Data| NLP(natural language processing)|Cloud Computing |Python| Team Management |Analytical | Strategic Planning| Project Management | Executive Communication | Collaborate with Cross Functional Teams | Data Science Roadmaps | Predictive Modeling| Conflict Resolution | Diplomatic | High performance Computing LEADERSHIP PRINCIPLESInfluence | Inspire Colleagues | Coaching| Build Trust| Verify | Clear Communication | Lead by Example
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