Bridging Traditional Energy with Modern Data Science

I bring together 13+ years of real-world oil and gas experience with cutting-edge data science capabilities—a combination that bridges the gap between field operations and advanced analytics.

Cross-Functional Expertise

Merging deep industry knowledge with modern analytical tools

Technical Foundation

Python, R, SQL, and machine learning applications

Specialized Knowledge

Acoustic monitoring, MWD/LWD technologies, hydraulic fracturing

Continuous Learning

Google Data Analytics certified + 7 advanced technical courses

This unique blend positions me to tackle complex challenges at the intersection of energy and technology

About Me

Dynamic data professional with 13+ years of progressive experience in the energy sector, combining deep operational knowledge with advanced analytics capabilities.

Expert in transforming real-time operational data into actionable insights, with proven success in technical support, field operations, and data-driven decision making. Uniquely positioned to bridge the gap between field operations and modern data science.

Currently serving as Remote Technical Support Operator at Cold Bore Technology, where I provide advanced technical support across North America while developing Python-based analytics tools and automated reporting systems.

0+ Years Experience
0+ Wells Monitored
0% Downtime Reduction

Key Achievements

  • Reduced system downtime by 25% through predictive analytics
  • Developed proprietary acoustic analysis algorithms
  • Built automated systems processing 1M+ data points daily
  • Achieved 85% accuracy in equipment failure prediction

Technical Skills

Programming

Python R SQL JavaScript Linux

Data Science

Machine Learning TensorFlow Statistical Analysis Time Series

Visualization

Tableau Power BI ggplot2 Matplotlib

Industry Expertise

MWD/LWD SAGD Operations Acoustic Analysis Well Integrity

Portfolio

Real-Time Data Pipeline Dashboard

Real-Time Data Pipeline

Challenge: Manual data processing causing 4+ hour delays in critical decision making

Automated system processing 1M+ data points daily using Python and SQL with unified monitoring dashboard

75% Time Reduction
1M+ Daily Data Points
99.9% Accuracy
Python SQL Tableau
Predictive Maintenance Model

Predictive Maintenance Model

Challenge: Unexpected equipment failures causing $2M+ annual losses

Machine learning model predicting equipment failures 72 hours in advance using historical sensor data

85% Accuracy
$500K+ Cost Savings
72hr Early Warning
Python scikit-learn TensorFlow
Automated Reporting System

Automated Reporting System

Challenge: Manual reporting consuming 8+ hours daily

Python-based analytics tools monitoring real-time frac tree data streams with automated report generation

40% Time Saved
24/7 Monitoring
100% Automation
Python SQL Power BI
Family Calendar Application

Family Calendar Application

Full-stack calendar application with user authentication, event management, and responsive design

React Node.js MongoDB
Modern Portfolio Website

Modern Portfolio Website

Performance-optimized portfolio with dark/light themes, canvas animations, and intersection observer scroll effects

JavaScript CSS3 Canvas API

AI Career Conversation Assistant

Experience My AI Development Skills

This interactive Career Conversation Assistant demonstrates my expertise in AI application development. Built using advanced language models and deployed on Hugging Face Spaces, it showcases my ability to create practical, user-friendly AI solutions.

Conversational AI
Career Guidance
Real-time Processing

Try the Assistant

Ask questions about career paths, skills development, or industry insights

Technical Details: Built with Python, deployed on Hugging Face Spaces, featuring natural language processing for career-focused conversations.

Direct Access: Open AI Assistant in new tab

Resume

2021 - 2024

RTOC Operator (Remote Technical Support Specialist) / Data Analyst

Cold Bore Technology | Edmonton, AB

Served as first point of contact for 500+ wells across North America, achieving 92% first-call resolution rate while developing production-grade ML systems.

  • Built production-grade predictive maintenance models using ensemble ML (Random Forest, XGBoost) forecasting equipment failures 72 hours in advance with 85% accuracy, reducing downtime by 25% ($500K+ savings)
  • Prevented $2M+ in well integrity issues through real-time frac tree monitoring analyzing pressure (0-15,000 psi), flow, temperature, and acoustic data
  • Created 12+ interactive Tableau dashboards tracking operational KPIs across 500+ systems, improving decision-making speed by 35% and identifying $200K in cost savings
  • Built automated SQL-based reporting system processing 1M+ daily records, reducing report generation time by 40%
  • Designed Python-based ETL pipeline integrating 5 disparate data sources, ensuring 99.9% data quality and reducing manual processing by 30 hours weekly
  • Trained 35+ field personnel on equipment operation, data interpretation, and analytics, improving team data literacy by 60%
2016 - 2021

Field Data Technician / Sonic Analyzer / Data Scientist

Cold Bore Technology | Edmonton, AB

Pioneered acoustic data analysis methods for well integrity assessment and hydraulic fracturing optimization across 500+ wells in Western Canadian Sedimentary Basin.

  • Built unsupervised learning algorithm using autoencoders and Isolation Forests for real-time anomaly detection in high-frequency acoustic data (10kHz sampling rate)
  • Reduced false positive alert rate by 60% (from 15% to 6%) while maintaining 100% detection of critical events through advanced signal processing (FFT, STFT, wavelet transforms)
  • Analyzed 10,000+ operational records using SQL and Python, implementing solutions that improved efficiency by 30% ($250K annual value)
  • Developed time-series forecasting models (ARIMA, Prophet) for operational optimization achieving MAPE <12% on production data
  • Built custom Tableau dashboards integrating pressure, temperature, flow, and acoustic data for real-time visualization enabling immediate response to well integrity threats
  • Managed end-to-end data quality assurance program for 500+ data collection points, maintaining 99.9% accuracy through automated validation scripts
  • Developed SOPs and technical documentation for acoustic monitoring adopted company-wide
2011 - 2015

MWD/LWD Field Engineer / Operations Data Analyst

Halliburton | Various Locations, Canada

Led technical operations for Steam Assisted Gravity Drainage (SAGD) well pairs across 40+ pad sites in Alberta oil sands, achieving industry-leading drilling efficiency metrics.

  • Operated Measurement While Drilling (MWD) and Logging While Drilling (LWD) tools including Magnetic Guided Tools (MGT) maintaining <1m wellbore separation accuracy critical for SAGD operations
  • Successfully executed company's first underbalanced drilling (UBD) project using GABI and Pressure While Drilling (PWD) technologies in high-pressure carbonate reservoir
  • Analyzed real-time operational data streams to optimize drilling parameters, achieving 15% performance improvement over baseline metrics
  • Built Excel-based reporting systems and dashboards tracking project KPIs, enabling data-informed decisions that improved on-time delivery by 22%
  • Conducted root cause analysis on operational incidents using statistical methods, identifying trends that led to process improvements saving $180K annually
  • Achieved 100% safety record across 120+ wells in high-risk environments (H2S >10ppm, pressures >5000psi, extended reach drilling)
2010 - 2011

Chemical Analyst & Researcher

King's University | Edmonton, AB

Conducted quantitative chemical analysis using chromatography and spectroscopy, generating datasets for statistical modeling and validation.

  • Conducted quantitative chemical analysis using chromatography (HPLC, GC) and spectroscopy (UV-Vis, IR, NMR) generating datasets for statistical modeling
  • Developed and validated analytical methods following scientific methodology, experimental design principles, and Good Manufacturing Practice (GMP) requirements
  • Applied statistical analysis to experimental data using hypothesis testing and regression analysis
  • Authored technical research papers and presented findings to academic audiences

Education

Bachelor of Science in Chemistry

King's University, Edmonton, Alberta

Strong foundation in quantitative analysis, experimental design, statistical methods, and scientific computing

Professional Certifications

Google Data Analytics Professional Certificate (2024) Machine Learning A-Z: AI, Python & R Complete Neural Networks Bootcamp Artificial Intelligence A-Z 100 Days of Code: Python Pro Bootcamp Complete SQL Bootcamp Complete Web Development Bootcamp Complete Linux Training Course Advanced Statistical Analysis with R H2S Alive WHMIS TDG Petroleum Safety Training First Aid & CPR

Contact

Get In Touch

Ready to transform your data into strategic insights? Let's discuss how my expertise in data analytics and Oil & Gas operations can benefit your organization.

kalebendale@protonmail.com
780-964-6896
Edmonton, Alberta, Canada
Available