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CV

Professional Summary

Experienced and dedicated Data Analyst with competencies identifying efficiencies and problem areas within data streams while developing compelling data insights. Serviced clients across various sectors fully supported by multiple certifications. Able to synthesise quantitative information and interact effectively with colleagues and clients.

Skills

  • Project Lifecycle Management 

  • Data Mapping 

Work Experience

September 2020 - Date

Data Analyst | BAO Systems

Technologies

AWS Redshift, SQL Server, KNIME, Azure Snowflake, MS Power BI, Excel, Sisense 

 

Achievements

  • Power BI: Provided insightful narratives following design objects such as Star Schema and dimensional modelling concepts from various RDMS such as SQL Server.

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  • Power BI: 55% improvement in ad-hoc reporting by provisioning Power BI datasets directly from activated Linked Services in Azure Synapse Analytics.

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  • Data Migration: Identified scalable data warehouse solutions by utilising SQL scripts and standard procedures for successful data mapping and ETL processes.

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  • Azure Snowflake: 35% Improvement in data team collaboration by designing analytical tier derived from an AZCopy of data lake using Azure Data Factory.

March 2019 - December 2019

BI Developer | Gems Consulting Company

Technologies

Power BI, SSMS, SSIS, SSRS Azure Data Factory Dynamics NAV (ERP)

Achievements

  • Financial: Developed and enhanced robust, scalable data warehousing and ETL processes used in producing an iterative financial report.

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  • Data Quality: Cleaned and validated existing Excel spreadsheets to promote a robust data management platform, resulting in accurate data analysis.

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  • ERP Report: Synthesised ERP data to produce reports and polished presentations, highlighting insights and recommended changes.

January 2020 - Sept 2020

Business Intelligence Analyst  | Freelancer

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Education

Jan 2020 - June 2021

Masters, De Montfort University | Leicester

Course: Data Analytics

Grade: Distinction

2023-2023

Bachelors, University of Lagos | Lagos

Course: Chemistry
Grade: Honours

Projects 

Comparison analysis of flight data
Link to project:  

Tools: Azure Databricks, Apache Spark (Graph X), Python 

Comparison analysis of flight delays in Azure Databricks derived from data lake ETL pool. The outcome analysis provided information on departure and arrival delays and causes of delay. Graph queries and algorithms identified the busiest airports, airports without connections, airports with the most transfer flights, motif finding connections and the quickest route based on distance. 

Achievement: 
Provides real-time insights on flight performance, informs stakeholders of possible disruptions and provides alternatives where required.

Statistical Analysis 

Tools: SAS Base 9.4, Excel, 

Comparison analysis of flight delays in Azure Databricks derived from data lake ETL pool. The outcome analysis provided information on departure and arrival delays and causes of delay. Graph queries and algorithms identified the busiest airports, airports without connections, airports with the most transfer flights, motif finding connections and the quickest route based on distance. 

Achievement: 
Provides real-time insights on flight performance, informs stakeholders of possible disruptions and provides alternatives where required.

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