Shahrzad Ghazisaeidi
Toronto
Summary
Experienced Data Scientist with a strong background in driving data-driven decision making across academic and client-focused settings. Proficient in advanced data exploration, statistical analysis, and interactive data visualization using Python, R, and Excel. Skilled at transforming complex datasets into actionable insights and compelling narratives through the use of tools like Tableau. Demonstrated success in collaborating with cross-functional teams and clients to design, implement, and deliver high-quality data solutions that directly impact business strategy.
Overview
7
7
years of professional experience
Work History
Data Scientist
Bridge Informatics
11.2023 - Current
- Led multiple projects focusing on data exploration in bioinformatics, applying statistical analysis and data cleansing techniques using Python, R, and Excel to meet client-specific needs
- Developed and implemented custom data transformation processes that enhanced data usability and quality for decision-making
- Created technical blogs and visualizations that simplified complex data insights for diverse audiences, aligning with best practices in data storytelling
Research Fellow
Krembil Centre for Neuroinformatics
02.2024 - Current
- Directed projects analyzing large-scale spatial transcriptomics data, performing comprehensive data quality control and integration using advanced statistical methods
- Collaborated with interdisciplinary teams to extract and visualize actionable insights, ensuring clear communication of findings to both technical and non-technical stakeholders
- Delivered interactive presentations and dashboards that conveyed complex data narratives to support strategic decisions
Research Fellow
Hospital for Sick Children
01.2023 - 01.2024
- Managed neuroscience and bioinformatics projects that involved end-to-end data collection, transformation, and analysis
- Coordinated with cross-functional teams and international collaborators to deliver high-impact data insights and recommendations
- Designed interactive reporting solutions that enhanced the understanding and application of data findings in clinical contexts
Doctoral Researcher
Hospital for Sick Children
09.2017 - 12.2022
- Developed MedSeek, an innovative computational workflow for drug repurposing that processed extensive omics datasets using advanced data manipulation and statistical techniques
- Identified critical data gaps and trends, driving the publication of impactful literature that informed both academic and practical applications in pain management
Course Instructor
University of Toronto
12.2019 - Current
- Applied advanced data analysis techniques to evaluate and improve course effectiveness, resulting in a 25% increase in student research readiness
- Delivered lessons on data-driven strategies and statistical methods, empowering over 450 students with practical data insights.
Education
Ph.D. - Physiology
University of Toronto
06-2023
Skills
- Programming & Data Analysis: Python, R, Shell/Bash, SQL, Git, HPC computing
- Data Visualization: Tableau, Shiny Apps, advanced Excel
- Advanced Statistical Methods: Descriptive/Inferential Statistics, Regression Analysis, Experimental Design, Bayesian and Multivariate Analysis, Predictive Performance
- Domain Expertise: Bioinformatics, Genomics, Transcriptomics, Epigenomics, Spatial Data Analysis
Languages
English
French
Timeline
Research Fellow
Krembil Centre for Neuroinformatics
02.2024 - Current
Data Scientist
Bridge Informatics
11.2023 - Current
Research Fellow
Hospital for Sick Children
01.2023 - 01.2024
Course Instructor
University of Toronto
12.2019 - Current
Doctoral Researcher
Hospital for Sick Children
09.2017 - 12.2022
Ph.D. - Physiology
University of Toronto
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