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Data Analyst with 1+ years in SQL, Excel & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with strong skills in SQL, Excel, Python, and data visualization. Completed 5 freelance data projects involving data cleaning, analysis, and dashboard creation for real business problems. Detail-oriented, fast learner, and comfortable working remotely with deadlines.
University of Abuja
B.Sc · Business Administration
August 1, 2025 – June 30, 2025
Freelance Data Project
Entry Level Data Analyst
January 1, 2024 – June 1, 2025
India
Sales Performance Dashboard
January 1, 2024 – June 1, 2025
Cleaned and analyzed 10,000 rows of sales data using Excel and Python Pandas to identify top 20% products driving 80% revenue. Built interactive dashboard in Power BI showing monthly sales trends, customer segments, and regional performance. Delivered insights that helped client reduce inventory waste by 15%. Automated weekly report using Excel formulas, cutting manual work time by 6 hours/week.
Customer Churn Analysis
September 1, 2022 – December 1, 2023
Used SQL to query customer database and identify factors linked to churn. Created visualizations in Tableau to present findings on customer retention patterns. Wrote Python script for data cleaning, handling missing values for 5,000 records. Presented results to 40 students/faculty, translating technical findings to business recommendations.
Cultural Fit Analysis
The candidate's project diversity, including both freelance and academic projects, shows initiative and a willingness to apply skills in different contexts. The focus on real business problems (reducing inventory waste, customer churn) aligns with a results-oriented culture. The listed skills are directly relevant to a Data Analyst role, indicating good role alignment.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail, a fast learning ability, and comfort with remote work and deadlines, which are positive indicators for operational fit. The ability to present technical findings to a non-technical audience (40 students/faculty) suggests good communication skills.