YUHANG ZHANG
Toronto,ON
Summary
Motivated professional offering proficiency in data entry combined with strong mathematical and analytical thinking skills, attention to detail. Fast learner and committed to continuous, self-directed learning. Driven to expand experience through hands-on training and in effective data management tasks. Able to work independently as well as collaboratively within a team.
Overview
3
3
years of professional experience
Work History
Data Analyst Intern
Fintelics
05.2022 - 09.2022
- Developed and implemented Python code to accurately calculate potential future exposure rates for cooperating companies, enabling informed decision-making and risk assessment.
- Leveraged the power of the pandas package in Python to effectively visualize and analyze essential features of provided data, enabling insightful data exploration.
- Proficiently crafted SQL queries to efficiently gather, clean, and analyze data, ensuring accurate and reliable insights for informed decision-making.
- Employed statistical normal distribution models to establish optimal pricing strategies for diverse NFT mystery boxes, ensuring competitive pricing and maximizing revenue generation.
Investment Analyst Intern
Taiping Capital Insurance Asset Management
07.2023 - 10.2023
- Led simulation of investment pacing of Shenzhen City Development Fund, with a capital infusion of $2.3 billion from stakeholders. The objective was to assess Internal Rate of Return (IRR) under various investment paces, providing comprehensive insights into the model's risk and return dynamics.
- Assisted in preparation of presentations, data tables and other documents for investor meetings.
- Participated in research on elderly real estate, wind power, and agricultural industries, and contributed to the preparation of research reports.
Data Analysis Project on Number of PHD's Articles
University Of Toronto
04.2023 - 04.2023
- Developed a zero-inflated Poisson model using R language to predict the number of articles published by PhD candidates at a university. Conducted hypothesis testing and utilized p-values to select significant variables.
- Utilized analysis of variance tables, AIC values, and observations of the data to select and evaluate the most appropriate model.
- Results: Identified six significant variables that can be used to predict the number of published articles.
Data Analysis Project on Therapy for Breast Cancer
University Of Toronto
04.2021 - 05.2021
- Conducted an analysis using R language to assess the impact of hormonal therapy on the survival rate of breast cancer patients. Retrieved a dataset from the METABRIC database
- Utilized propensity score matching, a statistical method, to control for potential confounding variables. Presented the findings through written explanations and various data visualization graphics in the form of reports.
- Result: Based on hypothesis testing and p-values, concluded that hormonal therapy does not have a significant effect on the overall survival time of breast cancer patients.
Education
Bachelor of Science - Statistics and Mathematics
University of Toronto
Toronto, ON04.2023
Skills
- SQL
- SAS Global Certification
- R language expertise
- Program coding in Python
- Proficient in Excel and Word
- Collaboration
- Tableau
Certifications
SAS Certified Base Programming Python Institute entry certificate
SAS Certified Advance Programming Canadidate. Python Institute associate certificate
Timeline
Investment Analyst Intern
Taiping Capital Insurance Asset Management
07.2023 - 10.2023
Data Analysis Project on Number of PHD's Articles
University Of Toronto
04.2023 - 04.2023
Data Analyst Intern
Fintelics
05.2022 - 09.2022
Data Analysis Project on Therapy for Breast Cancer
University Of Toronto
04.2021 - 05.2021
Bachelor of Science - Statistics and Mathematics
University of Toronto
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