Jennifer Zhao
Learner - She
(1)
5
Location
Waterloo, Ontario, Canada
Portals
Categories
Data visualization Data analysis Data modelling Databases Data science

Skills

Accounting 1 Algorithms 1 Application programming interface (api) 1 Data analysis 1 Python (programming language) 1 Sql (programming language) 1

Achievements

Latest feedback

Sidney Shapiro, PhD
Sidney Shapiro, PhD
Data Science Manager
January 3, 2024
Team feedback
Jennifer's involvement in the Refit project demonstrates her commitment to technical excellence and collaborative teamwork. As a team member, she actively engaged in collaborative efforts, working closely with cross-functional teams to comprehend project requirements and operational processes. This collaborative approach highlights her ability to adapt to diverse working environments and contribute effectively to achieve project goals. One of Jennifer's notable technical skills lies in her proficiency with SQL tools. She demonstrated a strong command over SQL, utilizing it skillfully to extract pertinent information. This proficiency significantly contributed to enhancing the efficiency of data processing within the project. By leveraging SQL tools, she played a crucial role in optimizing the data extraction process, reflecting her dedication to employing the best tools for the job. In terms of database management, Jennifer showcased her expertise in mapping data to the database. She ensured a comprehensive understanding of schema and table relations, demonstrating her attention to detail and commitment to building a robust database structure. Her proactive identification and resolution of missing fields further strengthened the overall integrity of the database, emphasizing her meticulous approach to data management. Additionally, Jennifer actively participated in documentation management. Her efforts in updating project documentation to reflect changes showcased her commitment to maintaining clarity and consistency within the project team. This attention to documentation aligns with best practices in project development, ensuring that all team members have access to accurate and up-to-date information. In conclusion, Jennifer's contributions to the Refit project underscore her commitment to technical excellence, collaborative teamwork, and a comprehensive approach to project development. Through her SQL proficiency, database mapping skills, and documentation management efforts, she played a vital role in the successful development of an innovative refrigerant record-keeping software for HVAC/R technicians.
Algorithms Python (programming language) Application programming interface (api) Sql (programming language) Data analysis Accounting
ICT Ignite
ICT Ignite Plus - Data Science
ICT Ignite
Sofvie Inc.
Sofvie Inc. Data Analysis API Project
Sofvie Inc.

Recent projects

Work experience

Software Quality Assurance
FundPage Inc.
January 2022 - April 2022

Participated in development team rituals including daily stand-up, sprint grooming, sprint planning, and sprint retrospective.
Contributed to the quality of success of releases.
Analyzed system requirements and developed detailed and well- structured test plans and cases.
Executed manual and automated test cases.
Conducted cross-browser testing on different operating systems for web applications and regression testing.
Evaluated test execution results and test results reports.

Education

Software Quality Assurance Testing
Victoria Education Group
July 2023 - December 2023
Diploma, Data Science Bootcamp
Lighthouse Labs
April 2023 - July 2023
Master, Master of Business Administration
University of International Business and Economics
September 2003 - June 2005

Personal projects

Book Recommendation Engine
July 2023 - October 2023

The book recommendation system provides personalized recommendations based on user interests and preferences. Additionally, data wrangling and exploratory data analysis will be utilized to draw insights about users’ reading preferences and current trends in the book market.

Key Goals of the Project:

Base-Case Recommendations for New Users: The recommendation engine will provide initial recommendations for new users based on their past ratings and/or other relevant keywords, ensuring relevant content suggestions.
Personalized Recommendations through Collaborative Filtering: By utilizing user ID and search preferences, collaborative filtering techniques will generate personalized recommendations for active users based on their activity history and search preferences, enhancing the user experience.

Diabetes Prediction using Supervised Learning
June 2023 - June 2023

Diabetes Prediction using Supervised Learning

GOAL: Build a machine learning model that can predict whether a patient has diabetes or not, based on certain diagnostic measurements.

TECH STACK: Python with Pandas, NumPy, and Seaborn Libraries.

MODELS: Random Forest Model, Decision Tree Model, and XGBoost.

Insights of Airbnb in New York City
May 2023 - May 2023

Goal: Analyze 30,478 NYC Airbnb listings via Tableau to reveal patterns, trends, and insights, enhancing understanding of the market for hosts and guests.