Shubham S.

ABOUT ME

With 20 months of experience as Petrophysicist (geological data analyst), at Schlumberger, the leading oil field services company and an integrated degree in Geophysical Technology from IIT Roorkee, I feel confident I will be an exceptional addition to your team.

The reason I am interested in data analytics is my passion for finding solutions to complex problems. My favourite part of this process is learning deeply about my client’s pain points and using that understanding to collect relevant data, perform analysis, and generate a feasible long-term model. My experience of working with 20+ clients across the globe and drawing out their spoken and unspoken needs to develop data-based solutions would help develop similar data-based long-term solutions to complex problems in your firm.

Through my past seven years of learning experience, there is one thing that has not change, and that is my desire to learn and continuously improve. Learning new technical skills and implementing them to solve problems has always attracted me towards machine learning. I consistently improved on my skills and employed them to formulate algorithmic solutions. To enlist some, I devised a pipeline function to delineate noise zones and predict regression equation for the zones depending on the type of formation present. Likewise, I formulated a solution to locate propagation of fracture in cement casing; this method was highly reliable. It was employed across Schlumberger to achieve higher efficiency. These qualities set me apart from my peers when it comes to my projects.

I am a strategic thinker, and I love creating alternative ways to process various datasets. Whenever I am faced with any difficult scenario, I am quick to identify relevant patterns and issues. This quality helped me generate a zone-based clustering-cum-regression algorithm to predict sonic porosity in wells from the same field with an accuracy of more than 80%. This machine-learned model will be employed by Schlumberger on all oil-wells related data to improve prediction accuracy. I have also co-authored this technique in the Petroleum Geoscience: Regional tectonics and Geomechanics (Wiley Blackwell’s upcoming book, under review) giving future Petrophysicist an insight to a robust data analysis technique. They say ‘Data is the new oil’ but data from the oil industry is the purest form of black gold, and I believe the industry can achieve new milestones by developing techniques based on data analysis.

It would be a delight to learn more about the organisations objectives, at the same time, provide further insight into how my highly developed data analytics abilities, experience managing large data sets, vigorous predictive analytics, and self-taught machine learning skills can help the company achieve these results. Thank you for your time and for considering my candidacy for this position. I look forward to hearing from you soon

SKILLS