About Me

Hello! I'm Julia, a versatile professional with a strong foundation in both healthcare and data analytics. My journey has led me through the world of nursing and healthcare research to the exciting realm of data-driven decision-making. I'm passionate about leveraging my skills to drive meaningful insights and solutions.

Passionate About Health Analytics

I'm deeply passionate about the intersection of healthcare and data analytics. With strong skills in Python, SQL, and Tableau, I have the technical prowess to extract insights from healthcare data. My background in nursing and public health research has fueled my commitment to using data to enhance patient care, inform policy decisions, and improve public health. Join me in our journey to transform data into solutions that create a healthier future.

Passion for Data Visualization

I'm passionate about the art of data visualization and the ability to craft compelling stories through data analytics. I'm currently exploring the world of data visualization with tools like Tableau and Power BI, eager to turn data into visually engaging narratives. Join me as I dive deeper into the world of data storytelling and bring insights to life.

CV

Skills

  • Languages: Python, SQL, JavaScript, HTML, CSS, NoSQL, R
  • Applications: Tableau, GitHub, MongoDB, SQLite, PostgreSQL, Flask, Command Line, Microsoft Power BI
  • Tools: Excel, Databases, Pandas, Jupyter Notebook, Pandas, Seaborn, Scikit-learn, TensorFlow, VBA, Matplotlib
  • Project Management Trello, Miro, Asana, GitHub Projects
  • Soft Skills: Communication, Collaboration, Attention-to-Detail, Problem-Solving, Time Management, Leadership

Education

  • April 2023 - October 2023
    University of Toronto - Certificate in Data Analytics and Data Visualizations Bootcamp

    An intensive 24-week long bootcamp. Analytics with data from CSVs, API interactions, Web Scraping, and Google API using VBA, Python, SLQ, Javascript, R, and HTML/CSS.

    Skills Learned:

    • Data Manipulation & Visualization: Pandas, Matplotlib, Leaflet.js, Tableau
    • Machine Learning: Hadoop, TensorFlow
    • Database: SQL (PostgreSQL, SQLite), NoSQL (MongoDB)
    • Other: GitHub, Google Colab, Flask, AWS, PySpark, Command Line
  • 2018-2020
    University of British Columbia, Vancouver, BC - Bachelor of Science in Nursing

    During my 20-month BSN program at UBC, I undertook a rigorous curriculum that encompassed advanced nursing theory, clinical practice, and the latest healthcare technologies. Additionally, as the Communications Coordinator for the UBC Nursing Undergraduate Society, I served as a vital link between nursing students and faculty, demonstrating my leadership and communication skills. This role allowed me to facilitate effective collaboration, ensuring that student voices were heard and contributing to a more dynamic and engaging educational experience.

  • 2012-2016
    University of British Columbia, Vancouver, BC - Bachelor of Science in Biology & minor in Nutritional Sciences

    During my time pursuing a BSc in Biology with a minor in Nutritional Sciences at the University of British Columbia (UBC), I immersed myself in diverse subjects, gaining in-depth knowledge in research methodologies, animal physiology, and nutritional science. As a Laboratory Volunteer and Directed Studies Student at the UBC Department of Zoology, I honed my research skills by conducting experiments, performing dissections, and maintaining precise records of data.

Work Experience

North York General Hospital

Registered Nurse (November 2022 - Present)

  • ● Delivered patient-centric care, fostering strong therapeutic connections with patients.
  • ● Collaborated with interdisciplinary teams to ensure patients' objectives were achieved.
  • ●Planned, coordinated, and evaluated the care provided to Postpartum mothers and newborns in collaboration with the family, their health care provider, and the interdisciplinary team.
  • ● Conducted assessments and created care plans using Cerner - CST.

BC Women’s Hospital

Registered Nurse (September 2020 - September 2022)

  • ● Provided vital support to new mothers and infants during the postpartum period.
  • ● Conducted comprehensive assessments, maintained precise patient records, and crafted individualized care plans.
  • ● Actively engaged in staff training and mentorship, playing a pivotal role in the development of new graduate nurses and nursing students.

BC Children's Hospital Research Institute - Vaccine Evaluation Center

Public Health Research Assistant (January 2015 - September 2019)

  • ● Ability to follow detailed protocol and abide by research ethics when enrolling eligible participants onto research studies.
  • ● Screened people to determine whether they are eligible for research studies based on their current health status.
  • ● Assisted with data collection and entry on study-related materials.

Download Resume

Javascript, HTML & CSS

I have the skills to utilize these front-end tools for the purpose of extracting data through web scraping and creating intricate custom dashboards for clear and concise data visualizations.

Python

Proficient in the leading programming languages for data analytics, I am well-versed in libraries such as Pandas, Numpy, and Matplotlib, and machine learning concepts through TensorFlow and sklearn.

NoSQL, SQL, and SQLAlchemy

Unlocking valuable insights from extensive datasets, I possess the expertise to navigate and harness information stored in structured, semi-structured, and raw data using SQL, NoSQL, and SQL Alchemy.

Data Visualizations

Skilled in harnessing the power of industry-standard BI tools like Tableau and Power BI, I can seamlessly convert complex raw data into compelling visual narratives that drive informed decision-making.

My Projects

Explore my diverse portfolio showcasing projects ranging from Tableau visualizations to Machine Learning applications, demonstrating proficiency in JavaScript, Python, SQL, etc.
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Malaria Cell Image Recognition
Our project employed machine learning techniques using Python libraries like CV2, TensorFlow, Matplotlib, with data management on S3.Bucket.
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Tableau: Citi Bike Project
This project delves into a comprehensive analysis of New York Citi Bike data spanning from July 2022 to July 2023, featuring a Tableau Dashboard that encompasses map insights, membership trends, rider types, and the top 15 bike stations.
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Python, Matplotlib, Numpy, Scipy.Stats, API: Global Health Data
I utilized Python, Jupyter Notebook, Matplotlib, Numpy, Scipy.Stats, GeoAplify API for this comprehensive analysis of global health data. The project aims to identify regions needing assistance and exemplary health practices.
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Python, FLASK, Javascript: Portland's Crime Analysis
This project analyzes Portland, Oregon's 2019-2023 crime rates using Python, Flask, SQLite, HTML, CSS, JavaScript, D3.js, and data from the Portland Police Bureau, benefiting law enforcement and public awareness.
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ETL & Database Creation for Crowdfunding
I employed a range of coding tools including Python, Pandas, Numpy, PostGresSQL, QuickDBD, and pgAdmin4 to extract, transform, and load data, as well as create an ERD and database schema.
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Crypto Clusters: Unsupervised Learning
In this project, I harnessed the power of Python, Jupyter Notebooks, and popular libraries such as Pandas, NumPy, and scikit-learn to perform data preparation, unsupervised learning, and visualization tasks in the realm of cryptocurrency clustering.

Contact Me

Please do not hesitate to get in touch with me if you are interested in collaborating on projects, have inquiries, or wish to discuss potential job opportunities. I welcome the opportunity to connect and engage in meaningful discussions.

E-mail: julialiou@alumni.ubc.ca
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