Aspiring Data Analyst & Statistician

EDUWOH EBOSETA

Aspiring Data Analyst Statistician Python, SQL, Power BI, Microsoft Excel

Lagos, Nigeria *************@*****.*** https://linkedin.com/in/eboseta-eduwoh-533211253 https://datascienceportfol.io/ebosetaeduwoh

Professional Summary

Detail-oriented and analytical aspiring Data Analyst and Statistician with a strong academic background in statistics and hands-on project experience. Skilled in SQL, Python, Excel, and Power BI with a passion for turning data into actionable insights. Proven ability to analyze complex datasets, visualize trends, and deliver business intelligence solutions. Seeking to contribute technical expertise and data-driven thinking in a collaborative environment.

Technical Skills

- Programming & Analysis: Python (Pandas, NumPy, Matplotlib, Seaborn), Statistics

- Database Management: SQL (MySQL)

- Data Visualization: Power BI, Excel (PivotTables, VLOOKUP, Charts)

- Tools: Jupyter Notebook, DAX

Projects

Adidas Sales Dashboard Power BI January 2025

- Built a dashboard analyzing $900M in Adidas sales.

- Highlighted key metrics like top products, regional performance, and profit margins.

- Used DAX and interactive visuals for stakeholder engagement.

Insurance Database SQL Analysis SQL December 2024

- Analyzed health insurance data using advanced SQL queries.

- Applied GROUP BY, CASE, and RANK functions for segmentation.

- Delivered insights on BMI, charges, and smoking habits across regions.

COVID-19 Data Analysis Python July 2024

- Processed and cleaned COVID-19 datasets using Pandas.

- Visualized key trends and summarized metrics to support public health decisions.

- Produced reusable, structured Python code following best practices.

Superstore Sales Analysis Python June 2024

- Conducted exploratory data analysis on superstore data.

- Visualized patterns using Seaborn and Matplotlib to derive business insights.

- Developed modular notebooks for scalable analysis.

Work Experience

Statistician Intern Federal Airports Authority of Nigeria (FAAN), Department of Statistics July 2023 – October 2023

- Collected and analyzed data on aircraft movement and passenger flow.

- Created structured datasets for domestic airports using Excel.

- Developed reports with pivot tables and charts to visualize trends.

- Supported operations team with timely and accurate data insights.

Education

Bachelor of Science in Statistics Ekiti State University, Nigeria Graduated: February 2025

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