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About Me

Raashid Salih
Author
Raashid Salih
Making Data Profitable
Hey there.

As a CS graduate currently pursuing a postgraduate degree in Analytics at Georgia Tech, my primary objective is to help your business make data profitable. My skill set spans across Data Engineering, Analytics Engineering, and ML Engineering. If you are seeking a dedicated and results-driven professional who can turn your organization’s data into a strategic asset, let’s connect.

I intend to achieve said objective in a number of ways:

  • By developing and maintaining the infrastructure (cloud or otherwise) to make data readily available to the departments that require it for analysis.
  • By preparing more robust pipelines that facilitate consistent reporting for upper management decision making.
  • Finally, I can create and maintain Machine Learning models that enable departments to make better decisions and operate with more efficiency.

I am rather passionate about the applied data space, especially how modelling and analytics can have a tangible impact to a company’s operations beyond just a proof of concept.

  1. Education

    1. Master of Science in Analytics (MSc)

      2023 – present | Atlanta, Georgia, USA

      Georgia Institute of Technology (GaTech)

    2. Bachelor of Computer Science (Honours)

      2018 – 2022 | Kuala Lumpur, Malaysia

      International Islamic University Malaysia (IIUM)

      • Specialization in Computational Intelligence and Data Science
      • CGPA - 3.99/4.00

  2. Skills

    Languages and DatabasesData Engineering and DevOpsData Science, Machine Learning and Visualization
    Python, R, Java, C++, JavaScript, HTML/CSS, MySQL, PL/SQL, PostgreSQLAzure, GCP, Databricks, Spark, Alteryx, Docker, Airflow, dbt, Terraform, FastAPIDataiku, FLAML AutoML, Dash, PowerBI, Metabase

  3. Awards

    IIUM Academic Excellence Award

    • Scholarship awarded for maintaining a CGPA greater than 3.8 for the duration of studies
    Gold - Final Year Project [Research Category]
    • Awarded best project in the research category for work on mortality risk prediction of COVID-19 patients using chest X-rays

  4. Professional Experience

    January 2022 – September 2022 | Kuala Lumpur, Malaysia

    Schlumberger

    Data and Analytics Intern

    • Completed coursework and was certified as Dataiku Core Designer as part of department's focus on Data Science projects
    • Proposed novel method to expedite data analysis operations using interpretable machine learning and validated said method with Subject Matter Expert
    • Learnt Dash and developed a WebApp for prediction of Project Costs based on Inflation Rates
    • Implemented end-to-end data pipeline for sprint planning dashboard using Azure DevOps REST API, SSMS SQL, Alteryx, and PowerBI leaving behind ample documentation and following best practices
    • Prepared similar end-to-end pipeline to gauge department KPOs via dashboard

  5. Other Experience

    Leadership, Project Management, and Domain Competence

    • Led tens of teams on projects both in and out of university, technical and non-technical.
    • Understanding on computing, storage, networking, scripting, developer tools, and big data can be gauged via academic standing.
    • Possesses additional experience in operating Linux and WSL (Windows Subsystem for Linux).
    Language and Communication
    • IELTS - Band 9, CEFR - C2 (highest level of proficiency)
    • Near native proficiency in the English Language.
    • Was a quasi-journalist for hire writing about consumer technology ever since the age of 12.
    • Culminated in getting my piece published in a technology magazine with a readership of about a quarter million at the age of 15.

I am open to career opportunities and would be delighted to discuss how my experiences in the data analytics field can contribute to your organization’s success. If that’s the case, please feel free to reach out.