• 2023- Data Engineer, Solita
• 2017-2023 PhD student/researcher, Tampere University

• Designing and building E2E testable data pipelines
• Event driven architectures and data pipelines
• Streaming data pipelines

• Python, PySpark, Spark SQL, R when absolutely necessary
• Azure Data Factory, Databricks

• Python and a bit of Go
• Airflow, Docker, DuckDB, Kafka, Polars, Postgres

My research is focused on the algebraic theory of topological data analysis. I'm interested in utilizing (minimal) resolutions to develop computable and interpretable representations and invariants for multiparameter persistent (co)homology and persistence modules more generally.

• Eero Hyry and Ville Puuska, Flat covers and injective hulls of persistence modules, submitted, preprint arXiv:2310.00733 [math.AC]
• Ville Puuska, Duality between injective envelopes and flat covers, Journal of Pure and Applied Algebra 228(2024), DOI 10.1016/j.jpaa.2023.107542
• Ville Puuska, Erosion distance for generalized persistence modules, Homology, Homotopy Appl. 22(2019), no. 1, 233-254, DOI 10.4310/HHA.2020.v22.n1.a14

• 2017-2023, PhD, Mathematics, Tampere University
  Advisor: Professor Eero Hyry, Tampere University
  Field: Topological Data Analysis
  Thesis: Flat Covers and Cotorsion in Persistence https://urn.fi/URN:ISBN:978-952-03-3058-3
• 2013-2017, MSc (and BSc), Mathematics, University of Tampere