Pegah Tavangar Email & Phone Number

Toronto, Ontario, Canada

Hamilton, Ontario, Canada

• Performed a comprehensive time series analysis and forecasting of Turnover, Retirement and New hires to manage nursing shortage and understand reasons behind high turnover rate in some job positions, in order to reduce.
• Used relevant databases and turned them into powerful SQL queries that is able to extract data and compile it into meaningful reports.
• Performed Exploratory Data Analysis in Python which helped to discover trends, patterns and relationship between different metrics with the use of graphical representations.
• Developed multiple reports and dashboards with Tableau to present to stakeholders, which helped tounderstand needed actions and improved decision making.
• Developed, researched and maintained ad hoc reports for financial reporting and cost management.
• Practical understanding of the application of analytics to business issues.

Vancouver, British Columbia, Canada

• Developed multiple Python scripts to detect specific text blocks and tables from documents and generate structured output format to be inserted into the existing database. These parsers increased the speed of database.
• Designed a text mining tool for performing text classification to populate the database. Building of this tool enabled curators and researchers of the group to analyze and organize text data in a fast and cost.
• Built an API interface to obtain all the required data to perform text classification.

Canada

• Project 1:
• Implemented Machine Learning analysis to aid therapy decisions for breast cancer patients and therefore, reduce the cost of non-beneficial treatments at hospitals.
• Used different feature selection, dimensionality reduction techniques and embedded models to increase performance of the model.Project 2:
• Designed a Machine Learning model for recognition of high performing materials for CO2 capturing to reduce cost associate of making new materials in the laboratory.
• Analyzed a large dataset and performed data pre-processing including filtering, cleaning standardization,normalization, binarization, and encoding categorical features.

Ottawa, Canada Area

• Involved in a project with the goal of designing a pipeline that uses Natural Language Processingmodels to produce knowledge networks.
• Trained a BioBERT model based on generated corpus of dataset, to recognize relevant entities andrelationships between them in the text.
• Used sentence embedding and word embedding of BERT and BioBERT to calculate similarity between words.

Master'S Degree, Computational Chemistry And Bioinformatics With Specialization In Data Science

Bachelor'S Degree, Medicinal Chemistry