I am a data analyst and data enthusiast who enjoys turning numbers into meaningful insights. I have hands-on experience with tools like Excel, Power BI, Tableau, and Stata, and I enjoy working with data to solve real-life problems. I am naturally curious and always eager to learn new techniques that improve how data is collected, cleaned, analyzed, and presented. I believe data tells a story, and I enjoy helping individuals and organizations understand that story clearly. I am detail-oriented, analytical, and committed to continuous growth in the field of data analytics.…

IKLEEL GBOLAHAN

I am a data analyst and data enthusiast who enjoys turning numbers into meaningful insights. I have hands-on experience with tools like Excel, Power BI, Tableau, and Stata, and I enjoy working with data to solve real-life problems. I am naturally curious and always eager to learn new techniques that improve how data is collected, cleaned, analyzed, and presented. I believe data tells a story, and I enjoy helping individuals and organizations understand that story clearly. I am detail-oriented, analytical, and committed to continuous growth in the field of data analytics.…

Available to hire

I am a data analyst and data enthusiast who enjoys turning numbers into meaningful insights. I have hands-on experience with tools like Excel, Power BI, Tableau, and Stata, and I enjoy working with data to solve real-life problems. I am naturally curious and always eager to learn new techniques that improve how data is collected, cleaned, analyzed, and presented. I believe data tells a story, and I enjoy helping individuals and organizations understand that story clearly.
I am detail-oriented, analytical, and committed to continuous growth in the field of data analytics.

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Language

English
Fluent

Work Experience

Data Analyst at Neo Life International
January 1, 2022 - January 1, 2024
Analyze operational and financial datasets to identify trends, variances, and performance gaps. Build automated Excel and Power BI dashboards, reducing manual reporting time by 40%. Clean, validate, and transform large datasets using Excel, SQL, and Power Query. Implement data quality checks that decreased reporting errors by 25%. Collaborate with business units to define reporting requirements and deliver insights.
Data Entry Specialist / Junior Data Analyst at ABC Services Inc.
January 1, 2020 - January 1, 2022
Entered and maintained high-volume records with 99.8% accuracy across multiple databases. Conducted preliminary data analysis to support monthly reporting. Standardized data entry procedures, reducing processing time by 20%. Assisted with data migration and system updates. Supported analytics team with data cleaning and basic SQL queries.
Data Entry Clerk at Global Support Solutions
January 1, 2018 - January 1, 2020
Processed and verified large volumes of customer, financial, and inventory data. Identified and corrected data inconsistencies to improve database reliability. Maintained confidential records in compliance with company standards. Consistently exceeded daily and weekly productivity targets.

Education

Bachelor of Science in Demography and Statistics at Obafemi Awolowo University
January 11, 2030 - January 1, 2024
Bachelor of Science in Demography and Statistics at Obafemi Awolowo University
January 11, 2030 - January 1, 2024

Qualifications

Data Analytics (Excel, SQL, Power BI)
January 11, 2030 - February 24, 2026
Data Quality & Data Governance
January 11, 2030 - February 24, 2026
Microsoft Office Specialist
January 11, 2030 - February 24, 2026
Data Analytics (Excel, SQL, Power BI) - Training
January 11, 2030 - February 24, 2026
Data Quality & Data Governance
January 11, 2030 - February 24, 2026
Microsoft Office Specialist
January 11, 2030 - February 24, 2026

Industry Experience

Professional Services, Education, Software & Internet, Financial Services, Healthcare, Other
    uniE621 End-to-End Sales & Profit Performance Dashboard Suite
    This third dashboard expands on my earlier two dashboards built from the Kaggle store-sales dataset by providing deeper insights into product performance, customer value, geographic trends, and the impact of discounts on profit. At the top, key KPIs show that each order generates about $57 in profit, average sales per order are around $458, and each customer spends approximately $2,900 overall. The analysis of shipping methods reveals that Standard Class is the most preferred option, indicating that customers value lower costs over faster delivery. Geographically, California leads in sales, followed by New York and Texas, while other states contribute moderate amounts. Customer analysis highlights a small group of high-value customers who contribute significantly to total revenue, presenting strong retention opportunities. Category-level insights show that Technology is the most profitable segment, Office Supplies performs steadily, and Furniture has lower profit margins despite good sales. The discount analysis clearly demonstrates that higher discounts often reduce profitability, with some sub-categories even generating losses at high discount levels. Overall, this dashboard provides a more complete view of business performance, showing where revenue comes from, which customers and products drive profit, and how pricing strategies impact financial results.…
    uniE621 End-to-End Sales & Profit Performance Dashboard Suite
    This detailed dashboard provides a month-by-month analysis of the company’s performance, offering deeper insight into its sales patterns and financial health throughout the year. Instead of only showing yearly totals, it reveals when revenue is generated and how profitability changes over time. The analysis highlights clear seasonal trends. Sales peak in months like March, September, November, and December, likely due to holidays and promotional campaigns. In contrast, January, June, and July represent slower periods with lower customer activity. This seasonal understanding helps the business plan inventory, staffing, and promotional strategies more effectively. A key insight is the gap between sales and profit. Some high-sales months do not produce equally high profit, suggesting that heavy discounts or promotional costs may reduce margins during peak periods. While revenue increases, profitability may weaken. The profit margin analysis further shows that the busiest months often have lower margins, meaning the company sacrifices some profit to drive volume. Meanwhile, certain average-sales months achieve higher profit margins, indicating more efficient selling and better cost control. Overall, the dashboard provides a strategic view of when the business earns the most, when it operates most efficiently, and where pricing or cost strategies may need adjustment.photo logo branding designer webdesigner…
    uniE621 End-to-End Sales & Profit Performance Dashboard Suite
    In this project, I analyzed a real retail dataset from Kaggle called Sample Superstore to understand how a business performs across different years, regions, customer segments, and product categories. The dataset contains several years of sales data, including orders, profits, discounts, customer information, and product details. My goal was to transform this raw data into a clear and interactive dashboard that tells a meaningful business story. After cleaning and organizing the data, I built an Executive Sales and Profit Performance Dashboard that highlights key performance indicators such as Total Sales ($2.3M), Total Profit ($286K), Quantity Sold (38K units), Customer Count (793), Average Discount (15.62%), and Profit Margin (12.47%). These KPIs provide a quick overview of the company’s financial health and pricing strategy. The dashboard also explores sales by customer segment, yearly sales and profit trends, profit margin comparisons, and regional performance. The analysis shows steady growth from 2014 to 2017, strong performance in the West and East regions, and higher revenue contribution from corporate and consumer customers. However, it also reveals slight profit margin pressure in 2017 despite higher sales. Overall, this project demonstrates how data visualization can turn raw sales data into actionable insights, helping businesses clearly understand their growth, strengths, and areas for improvement. photo logo webdesigner designer…
    uniE621 Sales Overview Dashboard
    ​This dashboard offers a rapid analysis of the clothing store's performance, structured into key components: ​Key Performance Indicators (KPIs): Located at the top, these cards display the overall health of the business, including Total Revenue, Total Units Sold, Average Unit Price, and Average Customer Rating. ​Monthly Sales Chart (Bar Chart): Represents sales performance over time, allowing quick identification of peak months and seasonal trends. ​Sales Contribution by Location (Donut Chart): Illustrates the geographic influence on sales, showing the proportional revenue share contributed by each country. ​Highest Income by Product (Product Tiles): Highlights product profitability, identifying which specific clothing items generate the highest revenue. ​Interactive Filters (Left Panel): Provides tools to drill down into the data by month, location, and product name for custom analysis.…

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