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Fajrul Haqqi

Geophysics Universitas Gadjah Mada

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All about me

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Software Developer at Geoseismal
Muhammad Fajrul Haqqi usually called Fajrul.

An organized, creative, and hard worker. Have a deep interest with analyzing data in earth science. Experience with data science and web development in geoscience cases.

Profile

Skills

  • Advanced React JS, Data Science, Data Analyst
  • Intermediete Machine Learning, Flask, Django REST, Vue JS, SQL
  • Novice R, Deep Learning, Graphic Design
Portfolio CV
Resume

More of my credentials.

Work Experience

Software Developer

Contract
Feb 22 - Now

Geoseismal

  • Contracted for 10 months as a software developer to develop Spectragama v.3.0, the passive seismic processing software.
  • Contracted 7 months to develop Petragamant, the Ambient Noise Measurements (ANT) processing software.
  • Both of these projects are a collaboration between Universitas Gadjah Mada and Pertamina in research and software development.

    • Software Developer

    Internship
    Sep 21 - Nov 21

    Sparveon

    Worked as a backend developer in AI-based seismic processing software to be released. The responsibility to develop code in converting seismic fault images into an integrated format in other software.

    Web Developer

    Project
    July 20 - Oct 20

    Field Camp SEG UGM SC

    Developed and organized geophysics field project sites from previously used CMS WordPress to CSS Framework.

    Data Science

    Internship
    July 20 - Oct 20

    Widya Analytics

    Worked as a data scientist for an AI-based algorithm development service that focuses on Natural Language Processing (NLP).

    Drilling & Workover

    Internship
    Jan 20 - Feb 20

    BOB PT.BSP - Pertamina Hulu

    Responsible for analyzing well log data and bareholes in Zamrud Field, Siak, Riau.

    Education

    Bachelor

    Aug 2017 - Aug 2021

    Universitas Gadjah Mada

  • Graduated from Geophysics Major, Mathematics and Natural Sciences Faculty; Awardee provincial government full scholarship is given only to forty students out of all applicants. (GPA: 3.37 out of 4.00)
  • Final Thesis: Estimation of Effective Porosity Well Log Using XGBoost and Random Forest Algorithm
    • Portfolio

    Check Out Some of My Works.

    fieldCamp

    Spectragama

    Project
    ibadurrahman

    Official Website Ibadurrahman

    Project
    slb-hackathob

    Data Science Hackathon by Schlumberger

    Hackathon
    fieldCamp

    Field Camp

    Project
    gmine

    GMine

    Startup
    verive

    Verive

    Idea Competition
    wellLog

    Rock Facies Classification

    Machine Learning
    Contact
    Where to find me

    Duri, Mandau, Bengkalis
    Riau, Indonesia

    Email Me At

    fajrulhaqqi50@gmail.com

    Call Me At

    Phone: (+62) 896 3782 4843