Meaghan Wright, P. Geo.
Calgary
Summary
Data Scientist and Geophysicist with nearly 10 years of experience specializing in Python, R, and statistical analysis. Expert in predictive modeling and time series forecasting across business and scientific use cases. Ability to excel in Agile environments, delivering innovative solutions and collaborating effectively with stakeholders.
Overview
9
9
years of professional experience
Work History
Data Scientist
Suncor Energy
2020.08 - 2023.10
- Developed deep neural network models and other machine learning algorithms (linear, random forest, time series) using Python and R, optimizing extraction throughput through advanced analytics (R2 > 85%, MAPE < 10%).
- Generated and presented data visualizations and performance metrics using Power BI, effectively communicating insights and issues to leadership.
- Conducted Exploratory Data Analysis on large, disorganized datasets, unifying and cleansing data to ensure quality and meet statistical requirements.
- Registered, monitored, and maintained production models, including setting timelines for retraining and documenting progress through Agile sprints.
- Utilized Agile methodology and DevOps practices for project management, model development, quality assurance, and production environments.
- Collaborated with stakeholders to design models and gather requirements, ensuring alignment with business needs and providing actionable recommendations.
- Established best practices within the Data Science Center of Excellence and mentored new graduates, promoting process adherence and professional development.
Geophysicist
Suncor Energy
2014.07 - 2020.08
- De-risking exploration drilling prospects by conducting thorough geoscientific interpretations of subsurface structures offshore and onshore (Libya, Newfoundland, Alberta).
- Adding reserves to prospect inventory (>$80MM), responsible for geophysics on $6B greenfield asset and MacKay River operations (>38K BPD).
- Analyzing complex geophysical and engineering datasets to create dynamic, predictive subsurface models.
- Knowledge in managing data complexities such as sample rates and time lags.
- Achieved greater accuracy in reservoir forecasts through rigorous calibration of simulation models against historical production data.
- Provided valuable insights into subsurface properties with expert application of inversion techniques to geophysical data.
- Advanced proficiency in applying advanced statistical and physics-based methods and models, identifying and integrating new data iteratively.
- Experience in working with interdisciplinary teams and stakeholders to interpret data and implement solutions.
Education
Master of Science - Analytics (Online)
Georgia Institute of Technology
2027
Bachelor of Science - Geophysics
University of Calgary
Calgary, AB2014
Skills
- Python
- R
- Statistical Analysis
- Power BI/Tableau Dashboards
- Graph Analytics
- Time Series Forecasting
- Predictive Modeling
- Prescriptive Modeling
Languages
English
Native or Bilingual
French
Native or Bilingual
Timeline
Data Scientist
Suncor Energy
2020.08 - 2023.10
Geophysicist
Suncor Energy
2014.07 - 2020.08
Master of Science - Analytics (Online)
Georgia Institute of Technology
Bachelor of Science - Geophysics
University of Calgary
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