About

I am a data scientist at Feedzai that concentrates on data preprocessing and improving machine learning algorithms. I work with key stakeholders with both technical and non-technical background, delivering findings to assist in decision making on the data science part of the project. I am proficient in Python, SQL, R, data preprocessing, machine learning, and data visualization.

Experience

• Data Scientist at Feedzai
  • 2021 - present
• Data Analyst at Lawrence Livermore National Laboratory
  • 2016 - 2021

Education

• Georgia Institute of Technology - Computer Science, M.S. Graduated 2021
  • Specialized in Machine Learning
  • 4.0/4.0 GPA
• UC Davis - Statistics & psychology, B.S. Graduated 2016
  • 3.5/4.0 GPA
• Udacity - Machine Learning Engineer Nanodegree Graduated 2018

Skills

Machine Learning

• Neural Network - Experience in TensorFlow and Keras.

  Relevant Project: Fruit Image Recognition

• Supervised Learning - contributions in building machine learning model for the lab.

  Relevant Project: Stock Trading Analysis, Voice Recognition

• Unsupervised Learning (Clustering) - Experience in implementing clusters and silhouette coefficient.

  Relevant Project: Customer Type Clustering

• Natural Language Processing - Actual work experience in analyzing surveys for the lab.

  Relevant Project: Women Clothing Reviews Analysis

Data Mining

• Data Visualization

  Relevant Project: Stock Trading Analysis, Android Market Analysis

• Feature Learning/ Feature Engineering

  Relevant Project: Customer Type Clustering

Language

• Expert: Python, R, SQL
  • Python Packages: Keras, Pandas, Matplotlib, Seaborn, NLTK, Scikit-Learn, Numpy, PySpark, Plotly, and more
• Experienced: Hadoop, Java, C
• Fluent: English, Cantonese, Mandarin

Awards

• Lawrence Livermore National Laboratory
  • LLNL Spot Award x 3
    • Recognition of outstanding contributions in multiple projects
  • One Organization Award - Aug 2021
    • In recognition of Addressing customer feedback through prioritization and execution of several data analytic improvements including modification or creation of new dashboards/ analyses to address customer needs and expansion of functionalities to Managers and Administrators.