Ronan Byrne
Data Analyst

Welcome to my portfolio website! I’m a data analyst with a passion for bringing data to life and creating data driven-solutions. Explore my projects and let’s connect!

About Me

I am deeply motivated by the power of data to drive positive change for organizations and individuals

As a dedicated and highly skilled data analysis professional, my journey has been marked by a unique blend of business acumen and technical prowess. My background in sales, management, and operations, fused with my expertise in SQL, Excel, and Power BI, provides me with a distinct perspective in data analysis.

Holding certifications as a Microsoft Office Specialist – Excel Expert and a Power BI Data Analyst Associate, I have delved deep into the realms of data analytics. This extensive coursework has not only honed my skills in data manipulation, modeling, and visualization but also reinforced my commitment to transforming complex data into actionable insights.

My professional journey has been characterized by leveraging data analytics to drive significant growth and enhance decision-making processes across various business sectors. My experience spans a range of functions including sales optimization, operational management, and strategic development. This diverse background has provided me with a rich understanding of how data can be effectively used as a transformative tool for business improvement and innovation. My approach combines a deep understanding of business dynamics with technical analytical skills, enabling me to effectively bridge the gap between data and strategic decision-making.

I am eager to embrace new opportunities that allow me to apply my data analysis expertise and business insights. I am passionate about breathing life into data and playing a pivotal role in data-driven decision-making processes. My goal is to contribute meaningfully to projects, leveraging my skills to solve real-world problems and deliver tangible results.

What Services I'm Providing

I can gather, clean, analyze, interpret, and visualize your data.
Data Management

Harvesting, cleaning, and reshaping data to develop models for exploratory analysis and interpretation.

Data Analysis

Analyzing data to uncover insights, detect patterns, inform decisions, and provide actionable insights.

Data Visualization

Creating visual representations through static and interactive dashboards, charts, infographics and reports.

My Portfolio

A sample of my work

An Excel report that evaluates if patient reported experiences have improved over time. Analysing survey results, it details hospital scores, linear regression trend lines and areas of progress. 

A Power BI dashboard of top-level KPIs for the executive team, highlighting performance in key areas, including sales trends, product performance, key customers, and shipping costs.

The Human Resource Dashboard is a Power BI solution for HR data. It shows HR metrics such as headcount, attrition, diversity, performance, and engagement in interactive dashboards.

An Excel report that evaluates if patient reported experiences have improved over time. Analysing survey results, it details hospital scores, linear regression trend lines and areas of progress. 

A Power BI dashboard of top-level KPIs for the executive team, highlighting performance in key areas, including sales trends, product performance, key customers, and shipping costs.

The Human Resource Dashboard is a Power BI solution for HR data. It shows HR metrics such as headcount, attrition, diversity, performance, and engagement in interactive dashboards.

Utilizing MySQL and Excel, an analysis of an ecommerce company’s sales data to find out how traffic sources, landing pages, conversion rates and products affect revenue. 

A Power BI report detailing customer satisfaction survey scores, including a Likert scale and satisfaction gap analysis for the different factors contributing to customer sentiment.

Developed in Power Query using M code, this template creates custom fiscal calendars. It allows for the selection of start and end dates, number of weeks in a year, and the quarterly week structure. 

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