I am a skilled Data Analyst with experience in analyzing complex datasets, creating data-driven insights, and developing interactive visualizations using tools like Python, SQL, and Power BI. My recent work includes a freelance data analysis project where I identified audience engagement patterns that improved promotional strategies by 20%, and a volunteer role where I helped reshape community outreach programs using demographic data. I’m passionate about leveraging data to solve business problems, and I’m actively seeking an entry-level or internship role where I can apply my analytical skills to drive impactful decisions.
Experience: 1 year
Yearly salary: $24,000
Hourly rate: $10
Nationality: 🇳🇬 Nigeria
Residency: 🇳🇬 Nigeria
Experience
DATA VISUALIZATION ASSOCIATE (INTERNSHIP)
Excelerate 2024 - 2024
• Successfully completed Data Analyst Associate Internship, showcasing proficiency in data analysis, statistical interpretation, and problem-solving in a collaborative team environment. • Developed comprehensive prototypes and reports documenting data cleaning methods, resulting in a 25% improvement in data quality and analysis efficiency. • Created interactive dashboard reports highlighting key findings, which were utilized to drive an increase in user engagement and platform growth. • Achieved a score of 263 out of 300 in Critical Thinking assessment, demonstrating strong analytical capabilities and problem-solving skills.
DATA ANALYSIS CONSULTANT
Freelance Project 2023 - 2023
• Analyzed multi-year datasets spanning over 50,000 data points on streaming numbers and social media engagement metrics across multiple platforms for various artists. • Utilized SQL, Python, and data visualization tools to uncover geographic audience distribution patterns, identifying high potential markets with up to 35% higher engagement than average. • Developed interactive dashboards enabling clients to visualize audience demographics, leading to a 20% increase in targeted promotional strategies’ effectiveness. • Provided recommendations that directly influenced clients’ financial strategies and budget allocations.
Customer Churn Analysis
Personal Project 2023 - 2023
• Analyzed a dataset of 1,333 customer records using SQL to uncover usage patterns influencing churn likelihood across demographics and identify factors influencing customer retention. • Utilized subqueries, aggregate functions, and statistical techniques to calculate churn probability at 16.14%. • Identified key segments like age group of 45-54 having a higher churn risk of 19.35%, enabling targeted retention strategies.
Skills
communication
data-entry
data-viz
python
sql
analyst
