James Sandy

I'm a

About

Hi, you can call me Jammie and I've been working in the tech space since 2018; I am not only passionate about tech as I enjoy cooking a lot and making music.

Data + ML Engineer & Technical Content Writer.

I am a passionate Data Engineer with over 4 years of experience, dedicated to creating data infrastructure, managing pipelines, drawing insights from data and building machine learning models. I constantly educate myself on the latest algorithms, techniques, and strategies that improve data processing in terms of efficacy, efficiency, and affordability.

I have over 5 years of writing experience writing technical articles on topics across Python, data science, data engineering, machine learning, IaC, and cloud technologies.

Resume

Here is my resume below, you can also download

Here

Sumary

James Sandy

As a data + ML engineer with over four years of experience, I am passionate about creating infrastructure for data flow and drawing insights from it. I keep myself updated with the latest algorithms, techniques, and pipelines that manage data more effectively and cost-efficiently.

  • +2349079245120
  • mondaysandy3@gmail.com

Education

Bsc & Computer science

2016 - 20202

University of Uyo, Uyo

Professional Experience

Data Engineer

April 2021 - Sept 2023

Coinstal, Remote, US

  • I extracted data from various sources and consolidated it into a central data lake
  • Transitioned the entire data pipeline to a modern stack
  • Built a streaming pipeline to track fraudulent transactions in real-time
  • Transforming raw CSV data into a common data model using DBT

Data Scientist/ ML Engineer

June 2020 - Feb 2021

Analog Teams, Remote, US

  • I led a team to build a documentation product for developers that uses AI to automate comments within code
  • Developed dashboards to provide management and product managers with insights into the various sectors we were building products for
  • Built BI dashboards/li>

ML Engineer

June 2020 - Feb 2021

Shareqube, Uyo, Nigeria

  • Built a recommendation system for a crypto customer reward platform
  • Utilized data to provide insights to the engineering team for building the customer reward platform

Contact

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