Position: Data Scientist / Data Analyst
Category: Data Science
English level: fluent
Years of experience: 6

• Developed two different approaches of unsupervised machine learning on video game players by utilizing biochemistry methods from DNA sequence mining (CM-SPAM) and algorithms from hierarchical (AGNES), density-based (HDBSCAN) and partitioning (KMeans) families of clustering techniques in R and Python
• Deployed one of approaches above using Spark, Hive and Impala SQL thereby delivering weekly insights to several stakeholders on completely automated basis via Tableau dashboards and various reports.
• Presented other segmentation approach at Machine Learning Innovation Summit 2018 in San Francisco, Data Innovation Summit 2018 in Stockholm and Nordic Games 2018 in Malmö to audiences of 200-600 attendees
- I did a Master of Finance at Massachusetts Institute of Technology in 2016-17 with a very heavy focus in Data Science and Analytics. 
- Between 2017 and 2019, I have worked in Sweden as a Data Scientist at Ubisoft, a large video games publisher, for two years, building an Analytics and DS pipeline for a AAA game from scratch. That included designing tracking events, overseeing implementation, testing and usage for reporting. 
- During my time in Sweden, I built a user segmentation ETL using Python, SQL, PySpark and Hive to cluster video game players using an unsupervised ML model - it was a combination of KMeans and AGNES. I presented my approach on 3 large DS conferences - one in Stockholm, one in San Francisco and one in Malmo. I have also built a recommendation engine to recommend in-game items to players using ALS algorithm. 
- Between 2019 and 2021 I have been the first Data Scientist at a Warner Brothers video games studio in London - I have set up a Data Collection, Analytics and Reporting pipeline using Amazon Redshift, Airflow, Python and Looker from scratch, while also hiring, onboarding and managing a team of 4 analysts. 
- I have also been a DS consultant to a US-based sports analytics startup for 18-month period till it got acquired, where I was part of the team building entire DS pipeline from scratch.
I am looking for a full remote part-time role for 20 hours per week with flexible hours. 
I really appreciate nice people, open communication, openness to feedback and flexibility.