Daniel Obi-Enadhuze | Data Analyst

Daniel Obi-Enadhuze

Data Analyst

Based in Lagos, Nigeria

About

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

Skills

Projects

Braintree Analytics Coding Challenge

Queried Braintree's database using SQL to answer ten business questions in a timed coding challenge; my solutions delivered ten result tables with 99% accuracy. Check out links to the project's documentation and GitHub repository.

Cost of Rent in Lagos State, Nigeria

Analyzed over 140k rows of data scrapped from a real estate website to identify factors that affect the cost of renting residential properties in Lagos, Nigeria.

A BETTER TIME VS TIMELESS

• Carried out a comparative analysis of the audio features of albums by one of Africa's biggest acts, Davido. • Visualized the results of the analysis, highlighting key differences and similarities between the two albums.

Querying Atlas Students Database

Exploring the database containing 7 tables on students' data and using SQL to answer 6 business questions.

Analyzing Cyclistic Ride Data

• Analyzed almost 6 million rows of ride data from May 2021 to May 2022 and successfully identified key differences in how the different categories of riders use Cyclistic bikes. • Using insights from the analysis, a successful marketing strategy was created to convert casual riders to annual member

Data Cleaning With R

Using R, I cleaned, processed and prepared for analysis the FIFA-21 dataset with almost 19k rows and 77 columns containing data on all pro-soccer players.

ALX TEAM PROJECT

A proposed solution to the problem of lack of access to quality education specifically for young girls in the northern region of Nigeria.

Experience

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.

Education

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.