About Me

Promoting Business Value Creation through Data Science Applications

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I am a Data Scientist / Oil & Gas Professional with a passion for data analytics, programming, creating business models and problem solving.

Solving problems by playing through different scenarios with Machine Learning and Monte Carlo models fascinates me – however, doing so should always have a clear purpose: creating new business, or improving an existing business by implementing smart data applications.

A venture that doesn’t create value for others is a hobby.
– Josh Kaufman

Me in a Nutshell

Programming / Application Skills:

  • R Programming
  • R Web Applications with Shiny
  • Rapidminer, Azure ML
  • Visual Basic for Applications
  • HTML, CSS, PHP, SQL

Data Science Skills:

  • Exploratory Data Analysis
  • Web Scraping and Data Cleaning
  • Statistical Inference
  • Regression Analysis
  • Machine Learning Algorithms
  • Monte Carlo Models
  • Data Visualization
  • Prototype Data Products
  • Interactive Web Applications

Domain Knowledge:

  • Log Interpretation
  • Formation Evaluation
  • Reservoir Engineering
  • Petroleum Engineering
  • Oilfield Operations
  • Oilfield Development
  • Petroleum Economics
  • Digital Oilfield

Function Expertise:

  • Sales & Marketing
  • Business Development

The Most Important Thing

I already knew I wanted to become an engineer when I had still two years left at school – at a time when I had to choose the two major subjects for these years, which would make up a big part of my final exams. The obvious choice would have been Mathematics and Physics (so I was told by the “experts”). Instead I chose Literature and Art, and I had to spent the next 2 years justifying my unorthodox choice to my family, friends, university advisers and even government representatives.

Art plus Literature unequal Engineering

“Are you sure you want to become an engineer?” was the first question I heard. It was the wrong question to ask. I had not chosen these subjects because I was good at them “Asking the right questions is probably the most important skill of a data scientist.” (in fact, I never was great in painting stuff), but to broaden my horizon and venture into topics that I was unfamiliar with. Nobody even bothered to check on my mathematics or physics skills! Asking the right questions is probably the most important skill of a data scientist (and the second would be curiosity!).

The story has a happy ending – I did graduate in mechanical engineering instead of becoming an artist (as forecasted by the same, most worried about my career experts) and, more importantly, I learnt an important lesson: Expert advice can be dangerously misleading when applied without proper background knowledge.

This is even more valid today in the exciting time of data science and big data: Subject matter expertise (also called “domain knowledge”) is extremely important when implementing data science applications.

You can read more about this topic from these articles from Forbes and KD Nuggets:

Get in Touch

Questions or suggestions? Write me an e-mail.