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ML Engineer
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ZenLabs
ML Engineer
June 13, 2026 – Present
PetroAI-Suite
July 6, 2025 – July 6, 2025
PetroAI-Suite: Comprehensive AI Solutions for Oil & Gas Industry
View ProjectWell-Log-Analysis
October 29, 2021 – October 29, 2021
Well-Log-Analysis — GitHub repository
View ProjectPetroleum-Data-Analytics-and-Machine-Learning
August 24, 2021 – January 8, 2022
Notebooks used for Course: "Petroleum Data Analytics and Machine Learning' by Petroleum From Scratch"
View ProjectGold-from-Jurrasic
July 10, 2020 – April 2, 2021
Models of Oil and Gas Industry in Python
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in the Oil & Gas industry, which indicates a strong domain-specific interest. However, the lack of diversity in project types (mostly personal notebooks) and technologies beyond Python/Jupyter Notebook suggests a potentially narrow scope of experience. This could limit adaptability to broader ML engineering challenges outside this specific niche. The single current role as an ML Engineer at ZenLabs aligns with the target role, but without details on responsibilities, it's hard to gauge the depth of fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.