About

Hi! I'm Gideon Ovuzorie

In today’s world, data drives critical decision-making, and modern technologies are reshaping the way organizations operate. As a Data Engineer, I am passionate about designing robust data pipelines and infrastructures that enable data-driven solutions.

Contact me here!

Email: gideonovuzorie@gmail.com

Phone: +44 7742 945671

Profile

A Data Engineer and Data Scientist with extensive experience in the financial sector.

I specialize in designing and building scalable data pipelines, developing data models, and implementing advanced analytics solutions that drive business value. With hands-on expertise in cloud platforms, big data technologies, and machine learning, I bridge the gap between engineering and data science to deliver robust, data-driven solutions for complex financial systems.

Name: Gideon Ovuzorie

Address: England, United Kingdom

Phone: +44 7742 945671

p>Email: gideonovuzorie@gmail.com

Experience

Senior Financial Crime Investigator - Monzo Bank

England - United Kingdom

Nov 2022 - Present

Team Lead, Compliance - Coronation Merchant Bank

Lagos - Nigeria

May 2021 - Sept 2021

Sanction Screening and Regulatory Liaison - United Bank for Africa

Lagos - Nigeria

Sept 2019 - April 2021

Financial Crime Data Analyst - Access Bank PLC

Lagos - Nigeria

May 2013 - July 2019

Education

Master Degree in Data Science - University of Hertfordshire

Grade - Distinction

England - United Kingdom

2021 - 2022

Advance Diploma in Software Engineering - Aptech Worldwide

Lagos - Nigeria

2008 - 2014

Bacheclor of Science in Public Administration - Covenant University

Grade - 2.1

Ogun State - Nigeria

2004 - 2008

Awards and Certificates

Certificate of Achievement - University of Hertfordshire Data Science Club

I Collaborated on a project that classified images of a Chest X-Ray Dataset using a Convolutional Neural Network. This was done using Pytorch.

2022

Google Data Analytics Professional Certificate - Google / Coursera

2022

Certified Anti-Money laundering Specialist - ACAMS

2015

Languages and Tools

Python

80%

SQL

85%

Kafka

70%

Airflow

55%

Apache Spark

79%

Data Warehouses (Big Query, Redshift)

88%

Cloud Platforms and infrastructures (AWS, GCP, Azure)

79%

Containerization and Orchestration (Docker, Kubernetes)

85%

Others

Data Bricks, SnowFlakes, LookerML, TensorFlow, Pytorch, Sci-kit Learn, etc

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