- Location
- Waterloo, Ontario, Canada
- Portals
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Toronto, Ontario, Canada
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- Categories
- Data visualization Data analysis Data modelling Databases Data science
Skills
Achievements
Latest feedback
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.