Ephrance Ujum
Big Data Consultant and Project Manager
About
Specializing in statistical machine learning, time series analysis, graph mining, hydroinformatics, numerical weather prediction (WRF), high performance computing and big data. Currently managing a project at MetMalaysia and maintaining a flood forecasting project under Department of Irrigation and Drainage. Pursuing a PhD focused on machine learning and graph mining. Programming languages: Python, R, Bash, Javascript and SQL. Interests: Research and industrial applications in data science / big data, network analysis, numerical weather prediction, complex systems theory, and information science.
Malaysia
Petaling Jaya
Computer Software
Data Science, Machine Learning, Network Science, Social Network Analysis, Statistics, R, Python, Mathematical Modeling, High Performance Computing, Scientometrics, Linux, WRF, Perl, LaTeX, Gretl, Matlab, Mathematica, Bibliometrics, Javascript, D3.js
Experience

Big Data Consultant and Project Manager
MetMalaysia
Petaling Jaya, Selangor, Malaysia
Development of a multi-hazard scenario and early warning platform for Kuala Lumpur under the "Disaster Resilient Cities: Forecasting Local Climate Extremes and Physical Hazards For Kuala Lumpur" project funded by the Newton-Ungku Omar Fund.

ICT Consultant
Perunding Iltizam Sdn Bhd
Kuala Lumpur, Malaysia
ICT Consultant for the National Flood Forecasting and Warning System (NaFFWS) project for the Sungai Pahang river basin commissioned under the Department of Irrigation and Drainage (DID). Scope of works primarily consists of designing, developing and implementing the operational system for NaFFWS. This includes the analysis and handling of Numerical Weather Prediction (NWP) and radar data. My tasks also include the optimization of hydrological models as well as the implementation of machine learning techniques for detecting patterns and forecasting trends in geospatial and time series data.

ICT Consultant
RBM Engineering Consultant
Kuala Lumpur, Malaysia
ICT Consultant for the National Flood Forecasting and Warning System (NaFFWS) project for the Sungai Terengganu river basin commissioned under the Department of Irrigation and Drainage (DID). Scope of works primarily consists of designing, developing and implementing the operational system for NaFFWS. This includes the analysis and handling of Numerical Weather Prediction (NWP) and radar data. My tasks also include the optimization of hydrological models as well as the implementation of machine learning techniques for detecting patterns and forecasting trends in geospatial and time series data.

Research Assistant
Institute of Mathematical Sciences, Faculty of Science
Project member of the “Network Analysis of Social, Technological and Biological Networks” project under University of Malaya High Impact Research Grant UM.C/625/1/HIR/MOHE/SC/13.

Consultant
Solamas Sdn Bhd
Mapping domestic renewable energy market capacity and trends, focusing mainly on the solar photovoltaic industry.

Consultant
Malaysian Meteorological Department
Designed and implemented (fully automated) operational scripts for twice-daily WRF and MM5 forecasts on two 256-core SGI Altix 4700 supercomputers at the Malaysian Meteorological Department (MMD). These models are used for nation-wide forecasts at MMD to replace Beowulf cluster runs previously implemented in 2005.
Ephrance Ujum's Contact Information
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