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RESUME

Resume
Professional ​
info​​

A proven hands on experience Data Scientist, Machine Learning engineer, PhD graduate in computer science and machine learning, with many years of valuable industry experience in advance analytics, AI R&D, and developing end-to-end AI solutions, coding expert with R, Python, C++, Tensorflow, Caffe, Keras, familiar with Agile methodology.

For detail resume, please check my updated LinkedIn profile.

Skills
  • Data exploration / Visualization

  • Data prepration / ETL

  • Classification / Clustering / Regression

  • Predictive modelling

  • Feature Selection

  • Anomaly detection

  • Correlation study

  • Time Series analysis

  • Computer vision: OpenCV

  • Deep Learning: Keras / Tensorflow / Caffe

  • NLP: NLTK / BERT / Gensim

  • Text similarity matching

  • Text Classification

  • Image classification: CNN 

  • Object segmentation: FCN / Unet 

  • Autoencoder 

  • Microsoft Azure ML Studio and Services

  • Dataiku 

  • Tableau

  • Python: Panda, NumPy, Scikit-learn, Scikit-image, Record-linkage

  • Database: SQL, MySQL, Hive, MongoDB, PostgresSQL

  • Weka

  • KNIME

  • Matlab

  • SPSS and SPSS Modeler

Work​
experience​
Staff Data Scientist 
General Electric (GE) Aviation
Dubai , UAE

​Jan/2017 - present

Data and Research Scientist
IBM Research
Melbourne Australia
​Jan/2016- Dec/2016

Post-doc Researcher 
IBM Research
Melbourne Australia
​Jan/2013- Dec/2015

 

Languages

Python

C/C++

R

Education
University of Melbourne 

Melbourne, Australia 

​Sep/ 2008 - Nov/2013

PhD in computer science, machine learning and high performance computing. 

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