Resume
Below you will find my professional portfolio, where you can explore my journey as a seasoned data expert with extensive experience in data science, data engineering, business analytics, and database design. Whether you're a prospective employer, collaborator, or simply curious about my background, you'll find valuable insights here. I've provided a shorter version of the following in two download options: a traditional PDF for easy viewing and a JSON file in the standardized JSON Resume format for technical compatibility and automated ranking in your employee management system - if standardized data formats are important to you (and they should be!). Thank you for taking the time to learn a little bit about me.
Summary
- Data Professional Experience
- 9 years
- Designations
- MIDS
- Total Career Experience
- 15 years
- Designations
- P.Eng
- BASc
- Name
- Matthew Nelson
- Education
- Canada
- Education
- Master of Information and Data Science University of California, Berkeley
- Education
- Bachelor of Applied Science, Chemical Engineering University of Waterloo
Experience
- Paramount Resources Ltd. is a Canadian oil and natural gas exploration, development and production company. The company is headquartered in Calgary, Alberta, and has been publicly traded since 1978. Paramount's operations are focused in the provinces of Alberta and British Columbia, focusing specifically on Montney and Duvernay development.
| Senior Data Analytics EngineerApr 2024 - Present | |||
|---|---|---|---|
Integrating best practices and diverse solutions across the data stack within the Data Analytics and Integration team. | |||
- Canlin Energy is a private oil and gas company with a diversified portfolio of assets in the Western Canadian Sedimentary Basin. Canlin is focused on the acquisition and development of conventional and unconventional oil and gas assets in Canada.
| Data & Advanced Analytics LeadFeb 2022 - Present | |||
|---|---|---|---|
Designed, implemented and programmed Canlin's industry leading data stack, using dbt Cloud, Snowflake, DataRobot, Tableau, and Streamlit. Developed and implemented descriptive and predictive solutions for the Integrated Remote Operating Centre (IROC), leveraging data and machine learning to optimize field operations and maintenance. Architected and executed business intelligence (BI) solutions, user web applications and all forms of analytics throughout the company. Provided mentorship to young professionals interested in data as well as senior management on the value of data and analytics. | |||
| Corporate Data Scientist and Reserves ManagerOct 2017 - Jan 2022 | |||
|---|---|---|---|
Facilitated the transition to a self-service data model by leveraging a rare skillset combining data engineering and petroleum data knowledge and implementing Tableau as a company-wide reporting tool and data warehouse. Advocated for repeatable BI solutions, advanced analytics adoption, and automated processes to streamline data accessibility, resulting in significant improvements in data-driven decision-making.
As a primary deliverable, managed the annual NI 51-101 compliant Corporate Reserves process, enhancing the accuracy and value of the company's assets by implementing automated data lifecycle management and achieving substantial financial gains through technical revisions. | |||
- Centrica Energy Canada was a subsidiary of Centrica plc, a British multinational energy and services company with its headquarters in Windsor, Berkshire, focused on upstream development in the WCSB. Its principal activity is the supply of electricity and gas to businesses and consumers in the United Kingdom, Ireland, and North America.
| Exploitation/Development Engineer, Foothills & SouthJul 2014 - Sep 2017 | |||
|---|---|---|---|
Conducted comprehensive analysis of existing gathering systems for natural gas plants in southwest Alberta, providing strategic recommendations to management regarding the longevity of Centrica's owned and operated gas plants.
Created an 'Opportunity Tracker' to centralize potential opportunities for tracking and planning.
Developed a robust long-term development plan for the Panther River field in Alberta.
Performed day-to-day exploitation engineering responsibilities, including project economic evaluations, technical support, regulatory matters, reserve reviews, report writing, and area development plan creation and presentations. Evaluated and prepared a number of acquisition and disposition candidates. | |||
| Production Engineer, In-Situ DevelopmentJun 2013 - Jun 2014 | |||
|---|---|---|---|
Acquired operational and production engineering experience on site at the Lindbergh SAGD project, where time was spent assisting MOC processes, creating process flow diagrams and analyzing plant performance by generating long-term trend analyses from transmitter data.
Developed a specialized tracking spreadsheet using thermocouple data to monitor temperature changes in the steam chamber over time, and monitored well pair performance through various metrics such as production and steam injection rates, pressure monitoring, subcool analysis, and pump operation. | |||
| Exploitation Engineer, Southern AlbertaAug 2010 - May 2013 | |||
|---|---|---|---|
Prepared and proposed drill programs for Heavy Oil and Shallow Gas assets in Southern Alberta, utilizing thorough analysis of analog pools to assess the feasibility and potential benefits of drilling multilateral horizontal wells in thinner pay heavy oil reservoirs. | |||
| Multiple Co-op Terms2006 - 2010 | |||
|---|---|---|---|
Completed multiple co-op terms (4 month work placements) as requirements for the University of Waterloo Engineering program. 8 months were spent with Lanmark Engineering, 4 months with Pengrowth at the Olds Sour Gas Plant, and another 12 months in the Pengrowth office as an Exploitation Engineering co-op student. | |||
Education
- Master of Information and Data Science
- University of California, BerkeleyMay 2016 - Jun 2018
- W200: Introduction to Data Science Programming
- W201: Research Design and Applications for Data and Analysis
- W203: Statistics for Data Science
- W205: Fundamentals of Data Engineering
- W207: Applied Machine Learning
- W209: Data Visualization and Communication
- W210: Synthetic Capstone
- W241: Experiments and Causality
- W251: Deep Learning in the Cloud and at the Edge
- W266: Natural Language Processing with Deep Learning
- Bachelor of Applied Science, Chemical Engineering
- University of WaterlooSep 2005 - Jun 2010
Projects
Summary
- Languages
- English Native speaker
- Certificates
- Professional Engineering Designation Association of Professional Engineers and Geoscientists of Alberta (APEGA)
- Awards
- Randy Duxbury Memorial Award University of Waterloo 2010
- Awards
- Ontario International Education Opportunity Scholarship University of Waterloo 2007
Skills
- Data & Software
- Data Visualization Expert10 yearsTableau, Power BI, Matplotlib, Seaborn, Plotly, D3.js, ggplot2, Shiny, Dash, Bokeh
- Data Engineering Expert5 yearsSQL, Snowflake, Snowpark, pandas, Tableau Prep, Feature Stores
- Database Design, Implementation & Querying Experienced5 yearsSnowflake, MongoDB, Oracle, SQL Server, Hive, PostgreSQL
- Machine Learning, Natural Language Processing & Deep Learning Experienced5 yearsscikit-learn, Tensorflow Keras, PyTorch, nltk, Hugging Face
- Distributed Computing & Cloud Experienced5 yearsSnowflake, Spark, Hadoop, Databricks, AWS, Google Cloud
- Web App Development Experienced4 yearsReact, node.js, Next.js, tailwindcss, express, Flask, Streamlit, Dash
- Graph Databases Experienced5 yearsneo4j, networkX
- ML Ops Experienced5 yearsSnowflake & Snowpark, DataRobot, Tableau
- Programming Languages
- Programming Languages7 yearsPython, SQL, Javascript, Typescript, Bash, R
- Oil & Gas
- Upstream Oil & Gas Development Expert5 yearsExploitation, Reservoir & Petroleum Engineering Workflows
- Petroleum Reserves Evaluation Expert5 yearsCOGEH, NI 51-101