Hello, I am Monica Boyce
Data and Life Scientist, Ph.D.

Experienced Ph.D. scientist seeks Data Science role leveraging 20+ years in research, academic, medical, and biopharmaceutical writing and communications.

Through coursework in the MIT Applied Data Science Program, I have completed a wide range of data science-related projects that have given me practical experience

Selected skills and experience include:
  • Strong research and analytical skills
  • Proficiency in Python programming
  • Data Analysis and Visualization expertise
  • Machine learning and statistical modeling knowledge
  • Excellent written and verbal communication skills
  • Data Science Projects

    I have included several projects that I have created which serve to demonstrate different workflows found in many data science settings. Please browse the selected projects below by clicking through to their respective pages.

    Deep Learning

    An emotional state recognition project utilizing Convolutional Neural Networks and Transfer Learning

    Data Preparation

    Cleaning, transforming, and structuring raw data to make it suitable for analysis, modeling and machine learning

    Data Visualization

    Graphical representations of data to gain insights, communicate findings and facilitate better decision-making in data science

    Exploratory Data Analysis

    Statistical and visualization techniques to analyze and summarize data sets, identify patterns, detect anomalies and generate hypotheses

    Experienced with:

    Python
    numpy
    seaborn
    PANDAS
    Scikit-Learn
    TensorFlow Keras
    SQL
    Git and GitHub
    Jupyter notebooks
    Google Colab notebooks

    Education

    Applied Data Science Coursework 2022 Nov

    Massachusetts Institue of Technology - Professional Education

    Ph.D., Cell and Developmental Biology 1994 May

    Emory University - Graduate Division of Biological and Biomedical Sciences

    Selected Certifications

    MLOps Essentials: Model Development, Integration, Deployment and Monitoring February 2023
    SQL for Data Analysis October 2022
    Object-Oriented Design February 2023
    Agile Software Development February 2023
    Agile Software Development: Extreme Programming February 2023

    Data Science Skills

    Statistical Analysis
    Data Mining
    Data Cleaning
    Exploratory Data Analysis
    Feature Engineering
    Machine Learning
    Deep Learning
    Computer Vision
    Natural Language Processing