Marcus Serving Online Resume

May 2016

Present

Senior Data Scientist

Anheuser-Busch InBev SA/NV Leuven, BE

Improved the performance of our flagship retargeting product by improving our prediction of ad engagement and user transactional behavior.
Coordinated with engineers at the ERL and in Germany on the development of autonomous learning software.
Designed and implemented new machine learning based approaches based on the existing framework.
Assisted the implementation and deployment of systems used for natural language input and processing, data collection, machine learning model training, and deployment of machine learning models.
Built new models to extract more value from the customer data we collect, which will help us know more about users and merchants than anyone else in marketing or retail.
Developed high precision classifiers and tools leveraging machine learning, regression and rule-based based models.
Applied statistical and algebraic techniques to interpret key points from gathered data.
Coached, developed and motivated team members, providing coaching and mentoring to junior data scientists on SAS and data mining techniques.

Aug 2011

Mar 2015

Senior NLP Engineer

Singtel Singapore, SG

Used machine learning and statistical modeling techniques to develop and evaluate algorithms to improve performance, quality, data management and accuracy.
Leveraged expertise to develop new technologies, providing growth opportunities in addition to supporting existing 3M products and businesses.
Familiarity with bot frameworks and existing Natural Language Engines/frameworks.
Worked with product managers to formulate the data analytics problem.
Worked in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Assumed ownership over certain components and continuously work to improve them.
Fast-moving, developer-driven organization full of brilliant and ambitious people.

May 2007

Jun 2011

NLP Engineer

Pfizer New York City, US

Coached, developed and motivated team members, providing coaching and mentoring to junior data scientists on SAS and data mining techniques.
Applied statistical and algebraic techniques to interpret key points from gathered data.
Designed and implemented new machine learning based approaches based on the existing framework.
Collaborated with business users, technical teams, database administrators and testing teams, to analyze, gather, and validate requirements such as kickoff meetings, joint application designing and planning sessions.
Built new models to extract more value from the customer data we collect, which will help us know more about users and merchants than anyone else in marketing or retail.
Developed high precision classifiers and tools leveraging machine learning, regression and rule-based based models.

Marcus Serving