I am a detail-oriented SQL and Power BI analyst with 6 years of professional experience in data analysis, business intelligence, and reporting. I excel at turning complex data into actionable insights that guide strategic decisions, with a strong focus on SQL optimization, data modeling, and interactive dashboards. Beyond data wrangling, I enjoy collaborating with cross-functional teams to deliver measurable outcomes. My portfolio includes optimized SQL queries, automated reporting solutions, and Power BI dashboards that drive sales, operations, and KPI tracking.

Samson T. Seyoum

I am a detail-oriented SQL and Power BI analyst with 6 years of professional experience in data analysis, business intelligence, and reporting. I excel at turning complex data into actionable insights that guide strategic decisions, with a strong focus on SQL optimization, data modeling, and interactive dashboards. Beyond data wrangling, I enjoy collaborating with cross-functional teams to deliver measurable outcomes. My portfolio includes optimized SQL queries, automated reporting solutions, and Power BI dashboards that drive sales, operations, and KPI tracking.

Available to hire

I am a detail-oriented SQL and Power BI analyst with 6 years of professional experience in data analysis, business intelligence, and reporting. I excel at turning complex data into actionable insights that guide strategic decisions, with a strong focus on SQL optimization, data modeling, and interactive dashboards.

Beyond data wrangling, I enjoy collaborating with cross-functional teams to deliver measurable outcomes. My portfolio includes optimized SQL queries, automated reporting solutions, and Power BI dashboards that drive sales, operations, and KPI tracking.

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Experience Level

Expert
Expert
Intermediate
Intermediate

Language

English
Fluent

Work Experience

SQL & Power BI Analyst at TAMRIN International Trading PLC
January 1, 2022 - January 1, 2024
Designed Power BI dashboards for sales and operations reporting; developed optimized SQL queries and automated reporting solutions to streamline weekly and monthly reporting processes, enhancing data accessibility and decision-making.
SQL & Power BI Analyst at YOTEC Construction
January 1, 2017 - January 1, 2021
Reduced manual reporting by 40% through Power BI automation; improved SQL performance by 30% via query tuning and indexing; collaborated with cross-functional teams to deliver data-driven insights for project and operational management.
BI Analyst / Independent Projects at Professional Development & Independent BI Projects
January 1, 2024 - Present
Built interactive Power BI dashboards using DAX and Power Query; developed portfolio projects showcasing SQL optimization and KPI reporting to demonstrate BI capabilities.
Professional Development & Independent BI Projects at Self-Employed / Independent BI Projects
January 1, 2024 - Present
Built interactive Power BI dashboards using DAX and Power Query; developed portfolio projects showcasing SQL optimization and KPI reporting.

Education

M.Sc. in Economic Development & Research at National University of Ireland, Dublin
January 11, 2030 - December 25, 2025
BA in Economics at ECSC, Addis Ababa
January 11, 2030 - December 25, 2025
M.Sc. in Economic Development & Research at National University of Ireland, Dublin
January 11, 2030 - December 25, 2025
BA in Economics at ECSC, Addis Ababa
January 11, 2030 - December 25, 2025

Qualifications

MS SQL Server – JanBask
January 11, 2030 - December 25, 2025
Business Intelligence (Power BI) – Datacense
January 11, 2030 - December 25, 2025
Python for Data Science – Coursera
January 11, 2030 - December 25, 2025
MS SQL Server – JanBask
January 11, 2030 - December 25, 2025
Business Intelligence (Power BI) – Datacense
January 11, 2030 - December 25, 2025
Python for Data Science – Coursera
January 11, 2030 - December 25, 2025

Industry Experience

Manufacturing, Professional Services, Retail, Other, Software & Internet
    paper SQL Pizza_Sales Analysis & Power BI Dashboard

    📊 Overview

    This project analyzes pizza sales data using SQL and Power BI.
    The goal is to clean, transform, and visualize data to identify key revenue drivers and pizza types performance.


    🧰 Tools & Skills Used

    • SQL Server – data cleaning, joins, aggregate functions, subqueries etc.
    • Power BI – interactive dashboard and KPIs visualization
    • Excel – data formatting and validation

    🧮 SQL Highlights

    Key SQL techniques used:

    • Filtering and aggregation with GROUP BY
    • Identifying duplicates
    • Using Joins for intermediate queries
    • Applying Subqueries for analysis

    📈 Power BI Dashboard

    The Power BI dashboard includes:

    • Total Sales by Category and Size
    • Top and Bottom 5 Products
    • Weakly and Hourly Sales Trend
    • KPIs: Total Sales, Profit Margin, and Customer Count

    💡 Key Insights

    • Busiest days are Thursday, Friday & Saturday.
    • Peak hours are 12pm - 1pm then 5 pm - 6pm
    • Classic Pizza has highest sales and Large Pizza has the highst sales.
    • SQL data cleaning improved accuracy by 15%.

    Link:-“C:\Users\tsefa\OneDrive\Desktop\Power_Bi_Links\SQL_Power_BI_Pizza_Sales_Analysis\Pizza_sales_project”