Miracle Chukwu | Data Analyst | Data Visualization | SQL | Python | Statistical Analysis | Machine Learning | Tableau | Power BI | Presentation Design

Miracle Chukwu

Based in Port Hacourt

About

As a forward-thinking professional with a background in Mechanical Engineering and specialized expertise in Data Analytics, I excel in leveraging SQL, Python, Power BI, and Tableau to extract actionable insights from complex datasets. With a passion for photography, music, and football, I bring a unique perspective to problem-solving and data visualization, driving operational efficiency and empowering stakeholders to make informed decisions, fostering continuous improvement and organizational success.

Skills

Projects

Customer Mall Segmentation Analysis using K-Means Clustering

These project aims to segment customers based on their annual income and spending scores using K-Means clustering. By grouping customers into distinct clusters, it seeks to uncover patterns in purchasing behavior, enabling targeted marketing strategies and improving overall business performance.

Electronic Store Sales Analysis

The Electronic Store Sales Analysis project explores sales data to uncover insights into performance, customer behavior, and product popularity. It offers practical recommendations for refining strategies, enabling stakeholders to enhance sales and tailor marketing approaches effectively.

Police Department Research Analysis

The "Police Department Research Analysis" project examines police stop data to inform policy decisions and improve policing practices. Through data analysis, visualization, and addressing key questions, the project provides insights into law enforcement activities.

Experience

March, 2022 - Present

Documents Controller (Data Analyst)

● Streamlined data entry processes by 15% through automation using scripting techniques ● Ensured data integrity through meticulous quality checks and validation processes, upholding high data governance standards. ● Generated comprehensive reports and visualizations (charts, graphs) to present key data trends and KPIs, providing clear insights for stakeholders.

March, 2023 - March, 2024

Business Data Analyst

● Increased recycling participation by 10% through targeted outreach campaigns informed by exploratory data analysis using Python libraries (Pandas for data manipulation and Matplotlib for visualization). ● Optimized waste collection routes using data modeling in SQL, resulting in a 5% reduction in fuel consumption and operational costs. Interpreted data to inform this process. ● Developed and maintained interactive dashboards on Power BI to visualize key performance indicators (KPIs) and facilitate data-driven decision-making for management. These dashboards provided insightful information across various business functions.

Education

2014 - 2021

Mechanical Engineerin

Description: Gained practical skills in engineering analysis, CAD modeling, and manufacturing processes. Participated in projects emphasizing automotive design, renewable energy systems, and industrial automation.

August, 2022 - March, 2023

Data Analytics Trainee

Description: Developed skills in Power BI, SQL, Python and Excel for Data Analysis. Focused on honing skills in sales data analysis, including interpreting sales trends, utilizing spreadsheet software, and conducting ad-hoc analyses to support decision-making processes.