Chris Selig

CNOOC InternationalFORMER

Data Scientist

• Managed the analytics environment (RStudio/Python/GitLab) and advised on data initiatives, including rolling out BI tools and optimizing processes.
• Reverse-engineered a large manual process that took days each month and sped it up using system resources and Power BI.
• Led the Power BI implementation program rolled out across the entire business, including training users on best practices.
• Using R, developed a time series algorithm to forecast IT financial costs more efficiently than the traditional process.

Various (Online freelancer)FORMER

• Produced over 300 R Markdown reports for participants in a university medical study, automatically generated via R/RStudio with ggplot2 visuals and PDF output.
• Wrote OData queries to extract Microsoft Dynamics sales data and visualize it in Power BI for executives.
• Developed an R Shiny dashboard to visualize economic, financial, geospatial, and proprietary data for investor presentations at a stealth startup — hosted on Docker + an Azure VM.
• Built an R-based interactive text-mining analysis on free-form survey text (word correlation, frequency counts, sentiment) to surface customer-satisfaction insights for management.
• Created a Power BI dashboard visualizing SurveyMonkey customer-satisfaction data to help management focus improvement efforts.
• Using Python, built a data pipeline between internal systems and AWS (S3 and Redshift) enabling new analytics initiatives.
• Taught a Harvard graduate student to use R for geospatial analysis and linear regression.
• Combined data from multiple systems for the first time to determine whether a Minnesota u-pick auto-parts business's eBay sales were profitable, delivering Excel and Power BI reports plus profitability recommendations.
• Set up Google Analytics and Calendly with a Google Data Studio dashboard for a therapy practice, enabling near-real-time visitor and booking-funnel tracking.
• Set up Google Analytics and a Google Data Studio report for the same therapy practice to track which blog posts and social channels drove the most traffic.
• Created R/ggplot2 data visualizations for an academic study on the mental-health effects of COVID-19.

ATCO EnergyFORMER

Data Analyst

• Used R to run advanced statistical text mining (topic modeling, word sentiment, bigrams) on an IT Engagement survey, providing an action plan for IT leadership.
• Developed a data pipeline and model supporting project and financial reporting.
• Consulted on data management best practices to build a more efficient reporting process.
• Created a Power BI dashboard for HR to visualize executives' goals and track progress.
• Developed a Power Automate cloud flow to auto-update SharePoint under certain conditions, freeing up human time.

Husky EnergyFORMER

Data Analyst

• Completed a text-mining analysis of software vendor responses using R/RStudio to inform an ITFM tool selection.
• Built an R Markdown pipeline generating a monthly report of actual, forecast, and budgeted Information Service costs and variances.
• Developed a seasonal-naive time series forecasting model to quickly forecast Information Service expenses.
• Built a cost show-back report (R + Spotfire, queried/modeled via Tibco Data Virtualization) that for the first time let the organization show back IS costs to the business.
• Created an automated ETL pipeline (KNIME) combining forecast/budget files and loading to SQL Server.
• Developed a SQL Server database as the single source of truth for the Planning and Controls team, cutting reporting time dramatically and building the pipelines to feed it.
• Built Spotfire reports (with HTML/CSS) tracking project-portfolio costs and status for upper management and the CIO — the first time all costs were visualized together.

Devon EnergyFORMER

Reporting Analyst

• Delivered Power BI training sessions to groups across Canada and the US.
• Used R to develop custom visuals within Power BI.
• Delivered training on visualization theory and best practices, plus a how-to video to keep the course alive over time.
• Facilitated requirements-gathering sessions with stakeholders to drive Power BI report development.

ATCO Energy

Technical Lead / Senior Developer

• Built a Power Automate flow using AI to extract information from PDF files, saving 10 hours a month and enabling consolidated analysis for the first time.
• Created a project-management template that collected project forecasts and exported them to a database for detailed leadership reporting.

Camber Capital Private Wealth

Technical Lead

• Streamlined the financial management process from 3–5 days down to 10 minutes, including more user-friendly Excel input files and a best-practice Power BI data model.
• Built a 165-query Power BI report that automated data ingestion into a dashboard for my clients' clients.