Vaqif Aliyev

Performance Drilling Engineer

Talent

Toronto, OntarioMember since May 13, 2025

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About

I am a drilling engineer with a strong passion for data analytics and machine learning, bridging operational expertise with data-driven solutions. With over three years of experience in Python, SQL, and data visualization tools, I specialize in transforming complex datasets into clear, actionable insights that optimize workflows and drive decision-making.

My technical background includes building Python and SQL scripts for data extraction, automation, and pipeline development. I am proficient in web scraping, API integration (such as Shopify API), and leveraging platforms like Google Cloud for automation and data management.

I have created interactive dashboards using Tableau, Power BI, and Google Looker Studio to visualize key metrics and performance trends. My skills extend into machine learning fundamentals, using scikit-learn for predictive analytics and applying statistical modeling techniques to real-world problems.

With a solid foundation in drilling engineering, hands-on experience in Landmark software (Compass, WellPlan, StressCheck), and a growing expertise in data science, I am dedicated to applying data analytics and automation to improve drilling performance, optimize KPIs, and support engineering innovation.

Experience

SOCAR Azneft | Baku, Azerbaijan (Drilling Engineer)

02/2021 – 02/2024

Developed a Python-based automation tool that reduced monthly KPI reporting from 7–8 hours to under 10 minutes for 8 engineers and 15 KPI files, significantly enhancing operational efficiency.
Validated subcontractor drilling programs, casing designs, cementing plans, and LOT tests through advanced Landmark simulations (Compass, WellPlan, StressCheck), strengthening well integrity and reducing operational risks.
Optimized BHA designs for offshore Caspian Sea wells (~3000m depth), refining stabilizer placement, bit selection, and drilling parameters (WOB, RPM), boosting ROP and reducing NPT.
Created a comprehensive Landmark software video training series, accelerating onboarding for 2–3 monthly interns/new hires by cutting training time by 50%.
Collaborated with cross-disciplinary teams (geology, mud engineering, reservoir) to optimize mud weight windows and casing point selections for complex Caspian Sea projects.
Supervised offshore drilling operations (~2500m depth), managing real-time decision-making, coordinating service providers, and achieving safety and performance targets.