Windy Wang Email & Phone Number

Vancouver, BC, CA

Vancouver, Canada Area

• Leveraging my strong background in statistics, I specialize in building health trend models and identifying abnormalities from large biological datasets in order to improve health scoring and ensure data quality for.
• Building an automated system for data quality checks, effectively reducing turnaround time from 1 week to 2 hours (SQL, Python, Tableau)
• Employing regression and classification models to predict the probability of various health outcomes (e.g. long COVID, Alzheimer's, autism) for early detection using multi-omics data (Snowflake, Python)
• Conducted end-to-end descriptive and inferential analyses for proof-of-concept studies for collaborative business partners (SQL, R, Tableau)
• Pioneering data visual solutions to support in-house analytical tasks and deliver impactful insights to external clients (Snowflake, Tableau)
• Performing ad-hoc analyses to propel research and development efforts (R, Python)

Vancouver, Canada Area

Taught Descriptive and Elementary Inferential Statistics (STAT1181) and Basic Probability and Statistics for Business (STAT1123) at Langara College. Fall 2018 term.

Toronto, Canada Area

Conducted independent research on the association of urinary vitamin D binding protein with kidney dysfunction and low vitamin D in patients at high risk for type 2 diabetes. Assisted with data collection and management (SQL) and was solely responsible for refining research objectives, conducting analysis (mainly using R), and presenting the results (oral.

Toronto, Canada Area

Helped with data cleaning in 2 large cohort studies. As well, I used industry software Teleform (Cardiff) to scan food frequency questionnaires (FFQ). The diet data was converted and merged into our overall data set. I learned SQL in order to troubleshoot errors with the Teleform software database and was able to fix all issues. The troubleshooting process.

Toronto, Canada Area

I investigated the role of theoredoxin interacting protein (TxNIP) in the regulation of mitochondrial metabolism under diabetic conditions, and addressing whether or not TxNIP is involved in the regulation of pyruvate entry into the mitochondria using cell cultures. Statistical analysis was conducted in Excel and results were presented to the University of.

Toronto, Canada Area

The lab deals with epidemiological research pertaining to diabetes. I focus on data analysis using SAS and R, as well as Git for version control. Moreover, I conducted independent research projects on the validation of a new bioelectrical impedance instrument, the Tanita BC-418 as well as examining the role of vitamin D loss in type 2 diabetic patients.

Master'S Degree, Epidemiology, A+

Activities and Societies: Nutritional Sciences Graduate Student Association, R and Statistics Workshops Conducted research on the.

Honours Bachelor Of Science (Hbsc), Physiology, Nutritional Sciences

Activities and Societies: First Year Learning Community (FLC), University of Toronto Autism Alliance (UTAA), Brain Day, Victoria College.

Data Science