Kamil Khan Kakar Petroleum Engineering, Data Science & Analysis
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I am a driven professional with a background in Petroleum Engineering and a strong specialization in Data Science. Over the years, I’ve worked across diverse domains, from data geoscience and mentoring to career counselling and even football coaching. I have worked across Energy and Tech industries and each experience strengthened my ability to teach, communicate, and connect with students from different backgrounds.

Currently, I’m working as a Data Geoscientist at Viridien, where I apply data analytics, automation, and machine learning to solve complex industry problems alongside Managing and training teams on data science best practices. This blend of technical expertise and practical experience shapes how I teach and helps me bring real-world relevance to every lesson.

My teaching style is problem-based and interactive. I start by assessing a student’s foundational understanding and then build lessons around their specific needs and goals. I guide students through challenges by asking the right questions and encouraging critical thinking, rather than simply providing answers. This helps them develop both confidence and independence in their learning.

I’m approachable, patient, and genuinely invested in my students’ success — something many of my previous learners have appreciated. I have helped MSc students and BSc students achieve Merit and Distinctions in their problematic modules. I highly value honesty and curiosity. If there’s something you don’t understand, just ask — we’ll explore it together. My goal is not only to help you excel in your assignments and exams by providing tips and tricks, but also to help you truly understand and enjoy the subject.

Subjects

  • Petroleum Engineering Bachelors/Undergraduate-Masters/Postgraduate

  • Data analysis and visualization Beginner-Expert

  • Mathematics (A level)

  • Data Analysis with Python Beginner-Expert

  • Physics (A Level)

  • Data Science, Machine Learning, and Mathematics Beginner-Expert

  • Data science and data analysis Beginner-Expert

  • Data Analysis using Microsoft Excel, PowerBI, and SQL Beginner-Expert

Experience

  • Data Scientist/Analyst (Aug, 2022–Present) at Viridien (formerly CGG)
    Automation & Analysis:
    • Built and optimized classifiers through data labelling and validating classification results, improving accuracy and consistency.
    • Automated data wrangling and EDA using Python, SQL, and Power Query, reducing manual preprocessing time.
    • Co-developed an automated QC tool improving data integrity and reducing stakeholder validation time.

    Leading & Management:
    • Led multiple agile data-transformation projects, managing multiclient global data curation of structured/unstructured datasets.
    • Reviewed and advised on data use cases, analytics, in-house taxonomies, data models, data quality rules, and technical assurance to unlock deeper insights from petroleum engineering data.
    • Product owner of engineering data models (PVT, Drilling, Production)

    Collaboration, Research, and Training:
    • Utilized Web & Power BI dashboards to visualize curated data, highlight KPIs and anomalies, facilitating data-driven project discussions.
    • Collaborated with R&D teams to align AI research initiatives with real-world petroleum engineering challenges and evaluate deployed model performance.
    • Trained teams on subsurface data labelling, improving classification models accuracy.
  • Petrotechnical Analyst (Mar, 2021–Aug, 2022) at TechPet Global Services
    Engineering & Analysis:
    • Analyzing geological and engineering field data for various client projects to build subsurface reservoir models and run integrated production system simulations.
    • Applied geostatistical correlations to integrate subsurface datasets.

    Collaboration, Research, and Training:
    • Facilitated cross-team communication and ensured continuous feedback loops between engineers and stakeholders.
    • Contributed to research efforts by participating in global TechPet programs and technical discussions.
    • Delivered insights through comprehensive reports and Power BI dashboards, covering KPIs and anomalies
  • Program Facilitator/Teaching Assistant (Oct, 2020–Mar, 2021) at Imperial College London
    Mentorship:
    • Assisted the master's students in the Wytch Farm Field Development project (which is a 3-phase project extending over a three-month period) as part of the Petroleum Engineering MSc course.
    • Provided guidance in areas including static and dynamic modelling, upscaling, Grid QC, field development strategy, uncertainty analysis, well completion and placement, production facilities modelling, pipeline selection, report writing and presentation.
  • Production Engineer (Jul, 2018–Jul, 2019) at OGDCL
    Engineering:
    • Executed Rig and Rig-less operations under Senior Production Engineer supervision, including Well Completion, Well Testing, Coil Tubing, and Wireline operations, e.g., ensuring safe and efficient execution of acid stimulation and cased-hole logging.
    • Conducted well site visits and maintenance activities, ensuring accurate field data collection and effective communication with Head Office for real-time production monitoring and performance tracking.

    Analysis:
    • Analyzed production data, performed production modeling and forecasting, and prepared daily reports to support data-driven operational decisions.
    • Performed history matching and diagnostic analysis to identify causes of high water cut and sand production, recommending remedial actions to optimize well performance.

    Collaboration:
    • Collaborated with cross-functional teams (Reservoir, Production, and Data Analysts) to enhance production efficiency, integrate data insights into decision-making, and optimize resource allocation.

Education

  • Petroleum Engineering (Sep, 2019–Sep, 2020) from Imperial College London–scored 73.1%

Fee details

    £15–65/hour (US$20.27–87.84/hour)

    I am flexible and can negotiate but the range is something to keep in mind. Higher end is for more time complex tasks.

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