Educated with a degree in programming and data analytics, as well as a master's degree in biophysics and coding Markov chain Monte Carlo simulations. My education and work are heavily involved in critical thinking and pr…
Educated with a degree in programming and data analytics, as well as a master's degree in biophysics and coding Markov chain Monte Carlo simulations. My education and work are heavily involved in critical thinking and problem solving to deduce solutions to difficult problems in programming, mathematics, and analytic research. Recognized for writing well-organized code in different in data analysis and statistical modelling. Experience with interdisciplinary communication, presentations and visualization software. I enjoy learning what others have to teach me so I can help people with what I have learned.
Provided quality analysis of existing database of over 2 million animal records and hundreds of data points per animal from the old SQL-based system into the new Microsoft Dynamics platform.
Pinpointed duplicate values in multiple tables and provided data standardization to remove redundancies.
Assisted with database normalization to improve data integrity and data modelling by constructing ERD connecting numerous tables which all together contained hundreds of column labels and their data types.
Presented findings and provided formal pdf reports to provide training on how to use new tools and features for staff and new members and ensured project met business needs.
Designed and created SQL database to highlight and connect data after researching in-flight entertainment (IFE) suppliers, technologies, clients, and systems.
Research involved web scraping, surveys, reports, and SWOT analysis.
Successfully created programs in Python to more efficiently streamline processes involved in SQL database construction, ETL, and data QA, while reducing data consistency issues through careful structuring of entities to normalize database.
Overcame time constraint and reading unformatted data from hundreds of pdf files by constructing program in Python that read each file, then accessed OpenAI API to highlight data from files, and extract information into Pandas.
Presented database ERD to coworkers to better communicate database structure and meet business needs, and connect database with Tableau to better encapsulate key insights and uncover trends.
Constructed computer simulations to describe bacterial mutation to antibiotics in Python and MATLAB, resulting in the completion in a thesis.
Invented mathematical formulas derived from previous models to describe bacterial evolution.
Marked work in biophysics, modern physics, and first year physics for classes of up to 60 students, and communicated and taught concepts to help students learn physics.
Natural Sciences and Engineering Research Council of Canada (NSERC) research grant.
Programmed simulations in physics involving proto quantum computer.
Researched and compared paper results to create program.
Data analysis and conducting experiments studying Raman scattering on bacterial cultures.
Natural Sciences and Engineering Research Council of Canada (NSERC) research grant.
Attended presentations for the summer school on medical imaging.
Analyzed data collected in PET scanning research and communicated results in final presentation.
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