Home Picture

BING-JE WU
bw97@njit.edu

Analytical and resourceful data science practitioner with more than 3 years of extensive knowledge of advanced statistics, data analysis, predictive modeling, and practical experience on project management.

Technical Skills

  • Programming Language:
    • Python (Pandas, Scikit-learn), R, SAS
  • Relational Database:
    • Microsoft SQL Server, PostgreSQL
  • NoSQL Database:
    • Hadoop, MongoDB, Redis, Cassandra, Kafka(KSQL)
  • Software:
    • Microsoft Word, Excel, PowerPoint, Access, Tableau, Asana
  • Big Data/Cloud Computing Platform:
    • Microsoft Azure, Databricks

    Work Experience

    AUO Corporation
    Project Manager
    April 2021 – Present
  • Led a team of seven for AI development research, building AI applications and systems for getting insightful analysis and applicable recommendations
  • Implemented recommendation systems, improved yield of 1.85% on average, and reduced cost of 500K NTD per year
  • Worked with a development team, employed the DevOps process, built and launched a SaaS product under a hybrid cloud infrastructure
  • Acted as a product owner, interviewed stakeholders to gather requirements, prioritized development items and planned product roadmap. Implemented Agile spirit, utilized Kanban, and Gantt chart tools for project management

    • Formosa Plastics Corporation, U.S.A
    Business Analyst (Interim)
    April 2017 – November 2020
  • Designed and maintained ERP Self-Audit Web System and Database
  • Built interactive dashboard in Excel using condition formatting, data validation, functions and pivot table
  • Extracted data from the database for data-driven in R / Python
  • Visualized self-audit data on Audit Summary Report for performance evaluation

    • Internal Auditor
    January 2017 – November 2020
  • Collaborated with various departments and management to get thorough understanding of business processes
  • Extracted data from AS400 database/Web ERP for analysis to identify the opportunities for improvement
  • Built data products through data pipelines

    • Data Science Projects

    Text Prediction Application
  • Led a team of four to create a web application to predict the sentiment analysis of a written movie review and recommend the next word in real-time
  • Cleaned 50K data and converted it to the document-term matrix in order to perform text mining
  • Employed n-grams model with chain rule, MLE and back-off approach to predict the next word
  • Implemented a neural network model for sentiment classification with the accuracy of 92%
    • Fashion-MNIST Classification
  • Applied Linear Classification, Logistics Regression, Support Vector Machine, Naïve Bayes, K-Nearest Neighbors and Random Forest machine learning algorithms from scikit-learn, and implemented Artificial Neural Network and Convolutional Neural Network in TensorFlow by using Keras
  • Built a Convolutional Neural Network model with 93% of accuracy rate on the classification of fashion images
    • Student Grade Performance
  • Analyzed what factors will affect students’ performance on the final grade using K-means Clustering and Association Rule Mining to find patterns, and perform visualization in bar charts and scatter plots
  • Identified that parents’ education level, mothers’ occupation, the number of absence and the number of previously failed courses were major factors imp acting on the student scores
    • Health Condition Improvement
  • Implemented the Define, Measure, Analyze, Improve, Control (DMAIC) method to improve the result by 35%
  • Applied Statistics tools for calculating the estimate sample size and margin of error of output variable
  • Utilized Sigma Quality Level, Pareto Chart, Hypothesis Test, Confidence Interval, Multiple Linear Regression, and Control Chart to analyze process improvement

    • Education

    MS in Applied Data Science, Syracuse University, Syracuse, NY, GPA 3.93 MS in Industrial Engineering, New Jersey Institute of Technology, Newark, NJ, GPA:3.77 BS in Mathematics, Tung Hai University, Taichung, Taiwan

    Certification

  • SAP Certified Associate - Business Process Integration with SAP ERP 6.0 EhP6
  • SAS Certified Specialist A00-231: SAS 9.4 Base Programming
  • ISO 9001 Internal Auditor issued by Oriel STAT A MATRIX
  • Lean Six Sigma Yellow Belt issued by New Jersey Institute of Technology