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Khushal Adlakha

Khushal Adlakha

Product Leader, Investor, and Data Science Enthusiast

Oslo, Norway
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Joined January 2025
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Network

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Oil Gas Digitalization
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Product Engineering Leaders
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Industrial AI Data Leaders
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Digital Transformation Consultants
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Renewable Energy Innovators
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Otovo Solar Leadership
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PensionBox Fintech Core

Summary

Khushal Adlakha is a highly experienced product leader, currently serving as a Product Lead at Autodesk. He has a strong background in product management roles within the technology sector, notably at Otovo and Cognite, transitioning from a foundation in the oil and gas industry. theorg+1
He is an active early-stage investor and advisor, particularly in the fintech space, with a notable investment and advisory role at PensionBox. His investment journey began in 2021, focusing on companies primarily in India. tracxn+1
Khushal possesses deep expertise in data science and its application, particularly within the energy sector. He previously held roles as Chief Data Officer and Data Scientist at Pro Well Plan AS, and has co-authored academic work on applying machine learning to oil and gas well planning. onepetro+1
He demonstrates a commitment to professional development and community engagement, having served on the boards of the Society for Petroleum Data Managers and the Society of Petroleum Engineers - Bergen. He also contributes to knowledge sharing through his personal newsletter, where he discusses topics like AI-powered product management workflows. theorg+1

Work

Education

Writing

The 3-Pillar System Behind My AI-Powered PM Workflow

October 1, 2023
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Reflections on the first few months in Otovo

November 1, 2022

A personal reflection on the transition from a tech role in oil and gas to working in a marketplace environment at Otovo.

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PensionBox Investment Thesis

March 1, 2022

Details the investment thesis for PensionBox, focusing on the business problem it addresses.

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Application of Machine Learning in Offset Well Planning

January 1, 2020

This study focuses on using machine learning and deep learning algorithms, including Convolutional Neural Networks (CNN) and non-linear dimensionality reduction, to analyze a large number of offset well data efficiently. The goal is to improve well planning in the oil and gas industry, particularly on the Norwegian Continental Shelf, by extracting high-level features and determining well similarity.

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