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Adaugo Ezimorah

@adaugoezimorah

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Data Analyst skilled in SQL, Python, and data visualization.

Nigeria

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What I'm looking for

I seek a role in a data-driven organization that values analytical insights and offers growth opportunities.

I am a passionate Data Analyst with practical experience gained through self-directed projects. My proficiency in SQL, Python, Excel, Power BI, and Tableau allows me to clean, transform, and visualize data effectively. I have a strong foundation in extracting meaningful insights from structured datasets and presenting my findings through interactive dashboards and reports.

Throughout my projects, I have demonstrated my analytical thinking and critical problem-solving skills. For instance, I analyzed supermarket sales data to identify top performers and explored customer behavior to understand spending patterns. I am eager to begin my professional career in data analytics and contribute to a forward-thinking, data-driven organization.

Experience

Work history, roles, and key accomplishments

Titanic Dataset Dashboard

Self Employed

Developed an Excel dashboard to visualize survival trends among Titanic passengers. Cleaned and transformed data to ensure accuracy and usability for analysis. Enabled interactive filtering features to help stakeholders explore key patterns in the dataset.

Microsoft Excel Data Cleaning Pivot Tables

Supermarket Sales Data Analysis

Self Employed

Analyzed supermarket sales data using SQL to extract actionable business insights. Calculated total revenue by branch, product, and category to identify top performers. Explored customer behavior by type, gender, and city to understand spending patterns.

SQL Data Cleaning Data Reporting Data Exploration Statistical Analysis

COVID-19 Data Analysis

Self Employed

Built an interactive Power BI dashboard using global COVID-19 datasets. Analyzed case trends, death rates, and vaccination progress across countries and regions. Designed dynamic visuals and slicers to enable user interaction and intuitive data exploration.

Power BI Data Analysis Data Visualization Dashboards Slicer

Movie Recommendation System

Self Employed

Built a movie recommendation system using user-based collaborative filtering with the MovieLens 100K dataset. Implemented the KNNBasic algorithm from the scikit-suprise library for personalized predictions. Merged and cleaned user ratings and movie data for model input.

Python Collaborative Filtering Data Cleaning

Education

Degrees, certifications, and relevant coursework

Nnamdi Azikwe University

Bachelor of Science, Radiography

Studied the principles and practices of medical imaging, including diagnostic radiography and patient care. Gained foundational knowledge in anatomy, physiology, and radiation physics.

ALTSCHOOL AFRICA

Diploma, Data Analysis

Completed a comprehensive program focused on data analysis techniques and tools. Developed proficiency in data cleaning, transformation, visualization, and reporting.