Ndubuisi Bethia
Welcome to my portfolio showcasing my expertise in data science and analytics. Through this collection of projects, skills, and research, I aim to demonstrate my passion for uncovering insights that drive impactful business decisions.
LinkedIn
About Me

1

Analytical Mindset
I thrive on solving complex problems by leveraging data-driven approaches and strong problem-solving skills.

2

Collaborative Approach
I excel at working cross-functionally to translate technical insights into actionable business solutions.

3

Continuous Learning
I am committed to staying up-to-date with the latest advancements in data science and machine learning.
Technical Skills
Programming
Proficient in Python, SQL for data manipulation, analysis, and model development.
Machine Learning
Experienced in building and deploying predictive models using supervised and unsupervised techniques.
Data Visualization
Skilled in creating insightful and visually appealing data visualizations using tools like Microsoft Excel, Google sheets, Tableau, Looker Studio, Power BI.
PROJECTS
Hazard Incident Analysis
This is a personal project to practice my skillsets in Data science and Safety. It is an analysis of Hazards in the construction sector (Building) to help know the hazards they are faced with and how to reduce its occurrence to create a safe working environments for workers.
Polling unit outlier detection
Another project task as an intern at HNG, was to identify outliers in polling units of our choice based on the votes each party received. I worked on Zamfara State in Nigeria.
The analysis involved geospatial techniques to find neighbouring polling units and calculate an outlier score for each party in each unit.
The goal was to pinpoint polling units where the voting results significantly deviate from their Neighbours, indicating potential irregularities or influences.
Sales Dashboard
The analysis of the Retail Sales dataset from Kaggle, focusing on vehicle sales from 2003 to 2005, a project I did during the HNG internship program to analyze the sales performance of a retail store from year 2003 -2005.
Prediction-of-Breast-Cancer-wisconsin-data
This a prediction of the type of cancer either benign or malignant a lady can develop based on different variables. The dataset was gotten from Kaggle for a project to sharpen our Python, Machine learning skills using Google -colab using python language.
The datasets gives a breakdown of breast cancer reports and categories 'B' Benign cancer, 'M' Malignant cancer with a 569 rows and 33 columns, the datasets consist of both numerical and categorical data.
Kultra-Mega-Stores-sales-Analysis
Headquartered in LAGOS, Kultra Mega Stores (KMS) specializes in office supplies and furniture. The company's customers range from individual consumers and small businesses (retail), to corporate organizations (wholesale) located in the LAGOS, Nigeria.
This project depicts the sales analysis of the store to know their performance across different regions, countries and to know which product category is doing well from 2009 -2011
CredPal Fintech
CredPal, a Lagos-based fintech, specializes in point-of-sale credit infrastructure, driving substantial retail sales growth for both large and small businesses. Attracting interest from Stripe, a San Francisco-based software technology company, CredPal secured a $2.9 million investment. However, before finalizing the investment, Stripe aims to comprehend the saving capabilities of consumers across different countries.
My Team analyzed and assessed the provided data, and the findings was presented in a comprehensive report using various data visualization tools.
Conclusion and Next Steps
1
Continuous Learning
I am committed to staying at the forefront of the data science field by continuously learning and exploring new techniques and technologies.
2
Collaborative Growth
I seek opportunities to work with cross-functional teams and contribute my expertise to drive impactful data-driven solutions.
3
Innovative Solutions
I am passionate about leveraging the power of data to solve complex problems and create value for organizations and communities.
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