Available for Work!
Welcome to Roy's Data World
🚀 Aspiring Data Analyst | Driven by Insights & Problem-Solving
I am a motivated and detail-oriented data enthusiast with over five months of hands-on experience in data analytics. I have developed strong skills in data cleaning, analysis, visualization, and storytelling. My portfolio highlights real-world projects where I analyze trends, uncover patterns, and support data-driven decision-making.
📊 Actively seeking opportunities to grow and contribute as a data analyst.
Let’s connect and explore how my skills can add value to your team!
Core Skills & Tools
About Me
- Data-driven problem solver with a background in marketing.
- Over five months of dedicated learning in data analytics.
- Skilled in SQL, Python, Excel, and Power BI with real-world project experience.
- Passionate about uncovering insights, building visualizations, and telling data stories.
- Eager to contribute, collaborate, and drive data-informed business decisions.
SQL & Data Management
Efficient in managing, querying, and optimizing databases to extract meaningful insights from structured data.
Python for Data Analytics
Harnessing the power of Python for data manipulation, cleaning, and visualization to drive data-driven decisions.
Excel for Data Analysis
Mastering Excel formulas, PivotTables, and data visualization to organize and analyze large datasets effectively.
Power BI
Transforming complex datasets into interactive dashboards and visual reports for smarter business insights
Synthetic Beverage Sales Data Analysis
Analyzing beverage sales data to uncover revenue trends, customer behavior, and regional performance.
SQL Server / Power BI
Amazon Sales Performance Analysis
Analyzing Amazon sales data to uncover trends, customer behavior, and key factors driving sales performance.
Python / Power BI / Statistical Analysis
Toman Bike Share Revenue Analysis
Analyzing Toman Bike Share data to uncover usage patterns, peak hours, and seasonal revenue trends.
Python / SQL Server / Power BI
Netflix Streaming Insights: A Comprehensive Data Analysis
Analyzing Netflix’s content catalog to uncover patterns in genres, country contributions, and viewing behavior.
Python / Data Cleaning / EDA / Power BI
My Learning Journey
I pursued data analytics because I see data as a puzzle waiting to be solved. I enjoy the challenge of transforming raw numbers into meaningful insights that drive real-world decisions. Just like solving a complex puzzle, uncovering patterns and trends in data gives me a deep sense of achievement. The ability to turn data into impactful stories excites me, and I’m committed to growing as a data analyst to help businesses make smarter, data-driven decisions.
Overview
Learning Month
5+
Total Projects
11+
Datasets Analyzed
35+
Skills Mastered
8+
Data Analysis Foundations
Understanding data structures, cleaning, visualization, statistics, and analytical techniques for insightful decision-making.
SQL Server
Writing queries, joins, aggregations, CTEs, and optimizing performance.
Python
Hands-on Python skills in data cleaning, analysis, manipulation (Pandas, NumPy), and visualization(Matplotlib, Seaborn).
Power BI
Building dashboards, DAX calculations, data modeling.
Excel
Formulas, PivotTables, data cleaning, lookup functions, and reporting.
Statistical Analysis
Descriptive statistics, hypothesis testing, probability.
Machine Learning
Exploring algorithms, model building, and predictive insights.
Azure
ETL Process & Data Integration, Synapse & Data Management
Storytelling
Turning data insights into clear, impactful stories
My Work Flow
Why Me?
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Reason One
Data Enthusiast & Problem Solver
Reason Two
Goal-Oriented & Fully Committed
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3
Reason Three
Rapid Learner & Adaptable
Reason Two
Business-Minded Data Analyst
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