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🧠 Hi, I'm Patrick Adu Osei

Data Analyst | AI Evaluation & AI Data Quality | Python, SQL, Excel | E-commerce & SEO Analytics

📌 About Me

I am a Data Analyst with a growing specialisation in AI evaluation, AI data quality, and applied analytics.

My work focuses on:

evaluating AI-generated outputs
identifying quality gaps in AI systems
validating factual grounding and taxonomy alignment
translating data insights into business recommendations

🚀 What I Do

✅ AI Evaluation

Rubric-based quality scoring
Error taxonomy analysis
Prompt robustness testing
Pairwise response comparison
Factual grounding validation

✅ Data Analytics

SQL & Python analysis
Dashboarding & KPI reporting
E-commerce and SEO analytics
Customer behaviour & churn analysis

🔥 Featured Projects

🧠 AI Evaluation Projects

AI Chatbot Response Quality Evaluation
→ Analyses chatbot response quality using rubric scoring and error taxonomy
AI Pairwise Response Evaluation
→ Compares AI outputs using structured preference scoring
AI Product Category & Factual Grounding Evaluation
→ Validates AI predictions against taxonomy data

📊 Data Analytics Projects

Stack Overflow Survey Analysis
→ End-to-end analysis of developer trends
E-commerce Sales Analysis
→ SQL-based revenue and customer analysis

🧩 Skills

Python (Pandas, NumPy, Seaborn)
SQL
Excel
Data Analysis & Visualization
AI Evaluation & Data Quality
Error Analysis & Structured Reasoning

📬 Connect With Me

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Superstore-retail-performance-intelligence Superstore-retail-performance-intelligence Public

Refreshable Excel BI project using Power Query, Power Pivot, DAX, data-quality controls and interactive dashboards to analyze Superstore sales, profitability, discounts, customers and regional perf…

Wolfram Language
AI-Pairwise-Response-Evaluation-Using-Preference-Based-Scoring-and-Error-Analysis AI-Pairwise-Response-Evaluation-Using-Preference-Based-Scoring-and-Error-Analysis Public

AI evaluation project analysing pairwise chatbot responses using structured scoring, preference comparison, and error taxonomy to understand what makes one response better than another.

Jupyter Notebook
ecommerce-sales-analysis ecommerce-sales-analysis Public

SQL-based sales analysis project using the Sample Superstore dataset to uncover product, customer, regional, and monthly revenue trends through SQLite and Excel visualisations.
AI-Evaluation-of-Chatbot-Robustness-to-Real-World-Customer-Language-E-commerce-QA- AI-Evaluation-of-Chatbot-Robustness-to-Real-World-Customer-Language-E-commerce-QA- Public

AI evaluation project analysing chatbot robustness to noisy real-world customer language using scoring frameworks and behavioural prompt analysis.

Jupyter Notebook
seo-performance-analysis seo-performance-analysis Public

Data-driven SEO analysis project leveraging SQL and Excel to analyse organic traffic performance, identify high-impact keywords with optimisation potential, and uncover
customer-churn-analysis customer-churn-analysis Public

End-to-end Python analytics project analysing customer churn behaviour to identify key drivers of attrition and revenue risk, with actionable insights for improving retention and business performance.

Jupyter Notebook