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Born December 15, 1999

My Background

  Greetings! My name is Che-ting Meng, you can call me Dakota. ;I finished my bachelors degree at National Taiwan University of Science and Technology majoring in Civil and Construction Engineering.
  Along with my training in becoming a civil engineer, I have always felt a passion for analyzing the numbers and data in my coding, mathematics and quantitative methods classes. After winning a national undergradute research award by performing data analysis on the energy consumption simulations, I was certain of my passion in analyzing and working with data.
  That is why I am currently pursuing a dual masters degree at Georgia Tech majoring in Computaitonal Science and Engineering & Civil Engineering (Construction Infrastructure Systems Engineering). I am especially interested and devoted myself in machine learning algorithms numerical analysis, and I look forward to deploying them in a professional setting and the field of engineering.


Professional Experience

Job Role Company Duration
Data Analyst NEW-TECHEM Co., Ltd.

(Industrial chemicals company based in Shanghai, China)

 6mo (06/2021 - 12/2021)
Graduate Reasearch Assistant Georgia Tech 08/2022 – Current

Data Analyst

  • Data preprocessing with Python and SQL and constructed ETL pipelines that reduces worktime by 60%. Prompt business insights with exploratory data analysis and visualizations (business dashboards) through Power BI and Python (Plotly, Matplotlib, Seaborn).
  • Enhanced business intelligence by performing customer churn analysis and sales prediction using Scikit-learn. Decreased customer loss (based on order volume) by more than 20%.

    • Graduate Reasearch Assistant

    Advising professor: Dr. Baabak Ashuri

  • Design controlled variable behavioral economics experiment to analyze cognitive biases in decision-making processes in the building industry. Derive framework based on statistical testing and modeling from survey data to support data-driven decision making.


    • Relavant Coursework

    Course Description Programming
    CSE6740 Computational Data Analysis (Machine Learning) Studied mathematical principles and applications of machine learning algorithms, classic statistical learning, data mining, Bayesian statistics and information theory. Python, R
    CSE6730 Modeling and Simulation Studied the framework of building abstract models of various systems and their numerical simulation with programming-based modeling. Python
    CSE6242 Data Visual & Analytics Gianed hands-on experience of a wide range of tools to perform end-to-end data and visual analytics that ranges from cloud computing, big data to algorithms and dynamic visualizations. Javascript(D3.js), Python; MySQL, SQLite; API, Spark, Hadoop, Databrick; AWS, GCP
    CSE6643 Numerical Linear Algebra Studied numerical solutions of the classic problems of linear algebra including linear systems, least squares, SVD, eigenvalue problems as well as their computational implementations. Julia

    Leadership

    National Bronze Award: 2021 National Engineering Innovation Competition

      Led research on “Optimization of Photovoltaic Glass in Green Buildings” as the student team lead during undergraduate senior year at National Taiwan University of Science and Technology in Taipei, Taiwan.
      Through data analysis and building energy consumption simulations using experimental data, helped developed an innovative photo-voltaic glass prototype and realized corresponding green building design optimization. Presented results at the largest annual national conference in Taiwan.