Python
Intermediate
Hello, I'm
Favour Igwezeke
Data Analyst | BI Developer
Hello, I'm
Data Analyst | BI Developer
Get A Sneak Peak
A data analyst with a background in pharmacy, I'm currently pursuing a Doctor of Pharmacy (PharmD) degree at the University of Nigeria, set to graduate in 2026. My passion for data analytics was sparked by my love for mathematics and statistics, and further fueled by an inspiring encounter with a fellow data scientist during my second year of pharmacy school.
This encounter opened my eyes to the world of data science, particularly its potential to revolutionize healthcare.
To build my skills, I've completed online courses in data analytics, including certifications from Coursera and DataCamp. I actively participate in hackathons and am a member of various data science communities.
I am particularly excited about predictive analytics and its ability to forecast trends and behaviors, with a strong interest in applying machine learning to personalized medicine and healthcare optimization.
In my daily life, I juggle my pharmacy studies with my passion for data science.
I often find myself diving deep into datasets, uncovering insights that could potentially improve business outcomes.
Outside of my academic pursuits, I enjoy watching productivity and Notion videos, reading Wikipedia plots about my favorite movies, and imagining that I can play the guitar.
My interest in science fiction fuels my imagination and creativity, which I believe is crucial in solving complex data problems.
I am naturally curious and detail-oriented, traits that help me delve deep into data to uncover meaningful insights.
My goal is to become a leading data scientist in the healthcare industry, contributing to groundbreaking projects that improve patient care.
Feel free to explore my projects and articles linked below, where I share my journey and insights with the community.
Explore My
I have a diverse set of skills in data analytics, spanning programming, databases, BI tools, and spreadsheets, which I have honed through various projects and certifications. Below is an overview of my expertise.
Intermediate
Basic
Intermediate
Intermediate
Basic
Intermediate
Intermediate
Experienced
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Experienced
Intermediate
Browse Through My
Here are some of the projects I've worked on, showcasing my skills in data analytics and data storytelling. These projects reflect my ability to clean and analyze data, create insightful visualizations, and develop effective solutions to complex problems.
This project analyzes Airbnb listings in New York City, focusing on private room pricing, review activity, and neighborhood trends. Key insights include peak review activity, average prices by room type, and the most expensive neighborhoods. This analysis aids in understanding market dynamics and making informed rental decisions.
This project investigates trends in Netflix movie durations to determine whether films are getting shorter over time. Using Python, Pandas, and Matplotlib, I analyzed data on movie lengths, genres, and release years, revealing insights into how movie production trends have evolved, particularly during the 1990s. The findings suggest a shift towards shorter films in specific genres, providing valuable insights for understanding modern movie production.
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This project aims to ensure election integrity by identifying potential voting irregularities through geospatial analysis. By detecting outlier polling units where voting results deviate significantly from their neighbors, we can pinpoint areas that may warrant further investigation.
This Power BI case study involves an in-depth examination of a genuine dataset to uncover insights into hospital efficiency on behalf of a fictitious consulting firm called HealthStat.
I used Power BI to identify factors contributing to customer churn at the bank, enabling informed strategies to improve retention.
Analysis of road accident data using Power BI to identify trends and improve road safety.
Comprehensive analysis of the job market for data science roles using Power BI.
This project aims to analyze competitor sales for a fictional manufacturing company, Sintec, using Power BI. The focus is on integrating, cleaning, and modeling data from multiple sources to generate insightful reports on company and competitor performance.
Showcase of a comprehensive Supply Chain Analytics Dashboard developed with Power BI.
In this project, I analyzed HR metrics for Atlas Labs to understand workforce trends and factors influencing employee attrition, providing actionable recommendations for improving retention.
In-Depth cleaning of Nashville housing dataset using PostgreSQL.
Using PostgreSQL, I analyzed user behavior, identified market trends, and provided recommendations for better customer experience and operational efficiency.
In this project, I used PostgreSQL to analyze MovieNow's data, including customer preferences, movie ratings, and revenue. Key insights included identifying top-grossing movies, popular genres, and customer behavior patterns. This analysis supports MovieNow in making informed decisions about inventory management and customer engagement.
This project uses SQL to analyze international debt statistics from The World Bank. It explores the total debt owed by developing countries, identifies the country with the highest debt, and calculates the average debt across various indicators.
View My Latest
Below are some of my most recent dashboard projects created with BI Tools. These dashboards provide comprehensive insights and visualizations for various datasets and scenarios.
Check Out My
Here are some of my most significant certifications that demonstrate my skills and expertise in various domains.
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These are the individual courses I have completed to enhance my skills and knowledge in various areas.
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