Research Assistant Resume

SUMMARY:

Passion for cutting edge technology to help drive informed business decisions. Results - oriented with R & D experience in computer science field with a strong focus on data mining in data mining problems, particularly fraud and anomaly detection and time series analytics .
Experience with advanced machine learning algorithms and data mining tool kits in Python and R. Knowledgeable of Azure Machine Learning, H2o and Spark.
Research interests include model selection with optimal hyper-parameters search, ensemble methods with homogeneous and heterogeneous designs.
Interested in learning and working in finance sector.
Ability to visualize data with matplotlib, ggplot and knowing Tableau, particularly for Exploratory Data Analysis (EDA) tasks. Familiar with database systems such as mySQL, MongoDB (NoSQL).
Using Java, C++ for project works at school and in a teaching assistant job.
Team work with other fellow student research topic: authentication of mobile device for risk analysis.

RESEARCH OF INTEREST:

CAREER EXPERIENCE:

Confidential

Research Assistant

Responsibilities:

study solution for varied data mining projects: algorithm selection, continuous data, open set problem

Teaching Assistant

Confidential

Responsibilities:

Research Assistant

Confidential

Responsibilities:

Ensemble Learning on multiple data mining problems focuses on specific problems of big data (as alternative solution for distributed computing like Spark).
More details are given at the end of this resume.
Recommend model
Ensemble incremental learning to deal with streaming data and limitation of memory system
Ensemble model for solving problem of unknown classes in real world application
Improving the performance of Ensemble learning with combiner approach.