Nguyen Quoc Phong

AI Engineer at Toshiba Software Development Vietnam
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Contact Information
us****@****om
(386) 825-5501
Location
Hanoi, Hanoi, Vietnam, VN
Languages
  • Japanese Full professional proficiency
  • English Limited working proficiency
  • Vietnamese Native or bilingual proficiency

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Experience

    • Vietnam
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • AI Engineer
      • Nov 2021 - Present

      - Project Leader/ Technical Leader - Build & Deploy Recommendation system based on Recruitment data + Language: Japanese text + Natural Language Processing (BERT, Sentence Transformer... ) + Information Retrieval, Semantic Search, Pseudo labelling, Text Data Augmentation technics - Transportation Sensor Data Analysis, Visualization... - Project Leader/ Technical Leader - Build & Deploy Recommendation system based on Recruitment data + Language: Japanese text + Natural Language Processing (BERT, Sentence Transformer... ) + Information Retrieval, Semantic Search, Pseudo labelling, Text Data Augmentation technics - Transportation Sensor Data Analysis, Visualization...

    • Vietnam
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Data Analyst
      • Mar 2020 - Nov 2021

      • Data Analysis, EDA, Optimization + Feature engineering + Tuning model parameters + Analyze model performance + Write reports and present to customer + Training for fresher • Data Analysis, EDA, Optimization + Feature engineering + Tuning model parameters + Analyze model performance + Write reports and present to customer + Training for fresher

    • Japan
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Data Analysis, Machine Learning Engineer, Optimization
      • Aug 2018 - Mar 2020

      Data analysis from various domain: • Warehouse data + Preprocess warehouse picking history data, optimize location of items using Local Search, Simulated Annealing algorithms... + Build item's volume prediction model (tree-base model , ARIMA, SARIMAX model...) • Pharmacy data + Find insights in prescription data of patients + Classify drugs into groups base on seasonal property or statistical features of time series data + Build prediction model based on each type of classified group + Inventory Optimization • GPS data from public transport + Find insights in moving pattern of taxi in each area by GPS data visualization + Implement method to detect imbalance between supply-demand of each area by statistical method Show less

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