Experiences in Tecnos Data Science Engineering
4/2018- 1/2020: Data Scientist, Consultant, Project Leader Client: High-Tech Company X, Digital Marketing / HR-Tech Field • Independently contributed to all projects without specific supervision. • AB test platform with causal inference: CausalImpact (Brodersen et al., 2015), CausalML (Chen et al., 2020), DID (introductory material) • Product owner churn analysis: logistic regression • Customer conversion analysis: LightGBM (Ke et al., 2017) • Web recommendation with causality-considered Factorization Machines (Rendle, 2010, Research Summary #1) • Comprehensive survey and consultation on Adobe Data Feed (official document) for data source migration • Methodology standardization: unit test, datamart • Conducted the first patent search in company for an ongoing AI project and established a methodology for the search • Supervised a team of 4 engineers on analytical aspect, including requirement definition of recommendation algorithm, and design of monitoring / analytics related to products • Web recommendation with association analysis for customer impression • Hypothesis-based analytics projects related to search engine optimization on all aspects, including crawling / indexing / ranking 4/2017- 3/2018: Data Scientist, Associate Consultant Client: High-Tech Company X, Digital Marketing / HR-Tech Field • Involved in 5 hypothesis-based analytics consulting projects. Proactively contributed in all steps of the projects, including business understanding, project design, analytics and reporting. As a notable contribution, visualized a potential 100-million-yen loss of sales with logistic regression-based simulation.