Over the past decade, I have worked on numerous data-driven projects, from designing advanced text analyses to operational dashboards. Below are some examples of the work I have carried out (clients are not mentioned for confidentiality reasons).
Text Analysis (2025)
I have analysed over 200 customer feedback comments for a client using the R programming language. The final report included:
- N-gram frequency analysis to identify common themes and recurring language.
- Word co-occurrence networks to map relationships between key terms.
- Topic modeling (LDA) to uncover latent themes across the dataset.
- Sentiment and emotion analysis to classify comments.
Data Enrichment and Automation (2024)
Designed and implemented a multi-stage data enrichment workflow to improve the quality and completeness records for a B2B organization. The project combined manual research, ML-driven inference, and automation to enhance outreach efforts and segmentation strategies. Key components included:
- Desk research to collect publicly available firmographic data such as business type, size, etc.
- Profile enrichment by adding structured fields like industry classification, estimated revenue, etc.
- Machine learning model to intelligently populate missing attributes.
- Automated data tracking of contextual signals to support campaign personalization and engagement planning.