Position: Head of Data and Analytics
Category: Data Science
English level: upper
Years of experience: 11

The biggest thing about me: get s&8 done, inspired by big ideas. Hard working and futuristic.
Current role: Head of Data and Analytics

- Established Data Academy, internal data upskilling project for PM/Engineering
- Customer churn modeling helped to increase retention in many cases. (XGBoost, snowplow)
- Trial conversion predictive model, influenced product decisions related to better customer acquisition. (XGBoost, pandas, seaborn)
- Recommendation system POC 
  - change user behavior based on the previous user actions and desired future outcome

- Emotion detection in text (BERT model, text classification) 
- Large scale textual analytics, helped to focus on the most important product areas: 
  - group customer qualitative feedback into meaningful topics (USE + HDBSCAN)
  - text similarity clustering by using large pretrained language model (BERT, USE) 
- Anomaly detection and themes correlation for survey data
- Product usage feature correlation 
- Keywords timeline trends project


Established foundational cost effective company data infrastructure:
- data warehouse: Redshift
- real-time event collection platform: Snowplow
- data modeling layer: DBT
- data ingestion: singer.io, embulk, custom python scripts 
- data visualization layer: Redash, Jupyter Notebooks, dash custom python app (Graph Network viz)
25+ dashboards for product usage and user behavior
Would prefer to lead a small team to establish company data infrastructure and deliver data projects. Main interests are in machine learning, data science, recommendation systems. Might not work really well with low data maturity orgs. Good communication with technically skilled team members, Engineering team.