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Daniel Obi-Enadhuze

Data Analyst

Based in Lagos, Nigeria


I am a highly analytical and detail-oriented data analyst with a passion for finding patterns in complex datasets. With a strong background in data analysis, SQL, R, spreadsheet packages and visualisation tools, I have experience in conducting deep dive analysis into various metrics and presenting data in a way that's both informative and engaging to stakeholders I am forever learning and staying on top of the latest data analysis and visualisation trends. I am a problem solver with the ability to turn a business problem into structured data analysis, and I am creative in identifying and solving problems and presenting data and insights in a compelling and innovative way I thrive in a dynamic and fast-paced scale-up environment and I am looking for an exciting opportunity




September 2022 - February 2023

Intern at TotalEnergies E&P Nigeria Ltd

• Cleaned Excel sheets and created summarized versions of extensive Excel sheets for the human resource department, focusing on key metrics relevant to the department and hence reducing time spent going over extensive worksheets and increasing the overall work efficiency of the department by over 65%. • Designed an absence scheduler with Excel that allowed the human resource department to keep track of employees’ past and future absences and improved event planning and attendance by 73% by using the data collected with the scheduler.

June 2022 - July 2022

Lead Data Analyst at SideHustleNg Cohort 5.0 Bootcamp (Team 4)

• Led a team of 9 data analysts in completing 5 data analysis projects, analyzing data on Sales, Health, FIFA world cups and, Airport operational performance, generating and visualizing insights and key performance indicators from the datasets.


2017 - present

B.Sc Geophysics at University of Lagos

March 2022 - June 2022

Google Data Analytics Certificate at Coursera

I earned the Google Data Analytics Professional Certificate which involved completing eight courses, developed by Google, that include hands-on, practice-based assessments and are designed to prepare them for introductory-level roles in Data Analytics. I gained competence in tools and platforms including spreadsheets, SQL, Tableau, and R and learnt how to prepare, process, analyze, and share data for thoughtful action.

March 2023

Statistics for Data Analyst and Data Scientist 2023 at Udemy

The course covered, with practical examples: an introduction to statistics and statistical analysis, chi-square test of independence, one sample T-test, independent sample t-test, dependent (paired) sample t-test, correlation analysis, simple and multiple linear regression and interpretation of the results and analysis of variance. The tests example were done using SPSS and recreated by myself using R programming.

May 2023 - Present

Data Analytics at ALX

The ALX Data Analytics Program is broken down into 2 segments - ALX Foundations and Tech Specialisation The ALX Foundation Course offers a dynamic learning experience where participants gain essential skills in communication, problem-solving, digital literacy, and teamwork. Through interactive modules and practical projects, graduates are well-prepared for success and equipped with a strong foundation for continuous growth and adaptability. The Tech Specialisation is an intensive and comprehensive educational experience that equips participants with skills in data analysis, programming, and visualization. Through practical projects and a strong curriculum, graduates are prepared to extract insights from data and excel in data-driven roles across industries.