I am a Google Certified Data Analyst who is fluent in analyzing and visualizing data using Excel, SQL and related spreadsheet apps. I have mastered tools such as pivot tables in Excel and programming languages such as Python to help me transform raw data into actionable business insights.
“Beyond the numbers and code, I bring the analyst's mindset: the ability to distill complex findings into clear, concise, and compelling narratives for both technical and non-technical stakeholders.”
With over 20+ years of experience and 400+ finished projects, I bridge the gap between complex data science and practical business solutions.
To apply these skills, I utilize a robust stack of technologies ranging from relational databases to advanced machine learning frameworks.
Strong focus on creating predictive models and visualizations using libraries like Pandas, NumPy, and Scikit-learn.
Writing performant/complex SQL queries, cloud integration, and administration across MySQL and PostgreSQL.
Deep experience with Keras, Pytorch, TensorFlow, Google Colab, and Kaggle Notebooks for AI solutions.
Expertise in Pivot Tables, Macros, VLOOKUP/XLOOKUP, complex formulas, data cleaning, and rapid visualization.
I am proficient in working with both relational databases (SQL) and NoSQL environments, ensuring that no matter where your data lives, I can access, clean, and analyze it.
Explore my data analytics projects Mobile Gamers and Global CO2 Emissions where I analyze and present factual data in a visually interesting style.