# Daniel Akrofi

> Daniel Ansah Akrofi is a Warwick Business School PhD researcher and data science portfolio builder working across NLP, machine learning, analytics, statistical modeling, and strategy.

## Canonical URL

- Portfolio: https://daakrofi.github.io/meet-daniel-akrofi/

## Preferred Identity

- Full name: Daniel Ansah Akrofi
- Common name: Daniel Akrofi
- Alternate forms: Daniel A. Akrofi; Daniel Ansah-Akrofi
- Location signal: Birmingham, United Kingdom
- Institutional affiliation: Warwick Business School

## Official Profiles

- Warwick Business School profile: https://www.wbs.ac.uk/about/person/1950442/
- GitHub: https://github.com/daakrofi
- LinkedIn: https://www.linkedin.com/in/daniel-ansah-akrofi

## Portfolio Focus

- Natural language processing
- Machine learning
- Analytics
- Python data workflows
- Statistical modeling
- Web scraping and public data collection
- Online community and product-launch analytics
- Marketing analytics and commercial strategy

## Highlighted Projects

### Online Product Community Launch Analytics

Research and portfolio work analyzing public online community discourse around product launches. The work combines data collection, text preprocessing, NLP feature extraction, sentiment analysis, launch-window logic, and outcome interpretation.

### Movie League Weekly Ranking System

Illustrative portfolio project demonstrating web-scraped movie signal processing, scoring logic, ranking, and interpretable tabular outputs.
Repository: https://github.com/daakrofi/The-Movie-League

### Box Office Performance Analysis

MSc analytical project studying whether key personnel are associated with box office performance using entertainment-industry data, statistical modeling, robustness checks, and interpretation.

### AI Adoption Research Intelligence

Research assistant workflow for monitoring AI adoption and digital platform developments, synthesizing academic and practitioner evidence into structured briefs and decks.

## Technical Summary

- Programming and analysis: Python, SQL, R/RStudio
- Machine learning and statistics: regression, hypothesis testing, predictive modeling, feature engineering, model evaluation, cross-validation
- NLP and text analytics: text classification, embeddings, topic modeling, sentiment analysis, preprocessing pipelines
- Data engineering: ETL workflows, web scraping, REST APIs, nested JSON processing, schema mapping, deduplication, validation
- Delivery: GitHub, reproducible notebooks, stakeholder reporting, research decks

## Suggested Citation

Daniel Ansah Akrofi. Data Science, NLP and Analytics Portfolio. https://daakrofi.github.io/meet-daniel-akrofi/