Data Scientist

• Dec 2021 - Present

Data Scientist

• Jan 2020 - Nov 2021

- I specialise in fraud prevention for Digital Finance - I build machine learning solutions for clients and analyse data in order to decrease the fraud rate in their application forms- Helping Data Science Team leader in managing people involved working with banks and money lending companies- Creating solutions for anomaly detection and fraud detection in mobile phone games- Conducting research to develop Nethone anti-fraud solutions- Technological stack: Python 3 (pandas, plotly, sklearn, xgboost,), PostgreSQL, Jupyter.I work using Agile and Scrum Show less

Junior Data Scientist

• Oct 2018 - Dec 2019

- Building machine learning models and doing data analytics I reduce the number offrauds among clients from the digital lending industry.- I actively co-develop our internal Python package, starting from researching the ideaswhich can improve Nethone’s performance and ending at actually coding theseideas.- Constantly learning and researching I pioneer Nethone to a completely new area ofexpertise. I am the main Data Scientist in a research project which aims at frauddetection in online gaming.- Technological stack: Python 3 (pandas, plotly, sklearn, xgboost,), PostgreSQL, Jupyter.I work using Agile and Scrum Show less

Business Data Scientist Intern

• Jul 2018 - Sep 2018

Researcher

• Dec 2016 - Jun 2018

As a market researcher, I advised the global leading batteries manufacturer in their worldwide marketing and pricing strategies As a market researcher, I advised the global leading batteries manufacturer in their worldwide marketing and pricing strategies

Data Scientist Freelancer

• Feb 2018 - May 2018

- Working as a freelancer I created clusters of mobile devices users, which was later used for better advertisement targeting - Technological stack: Python 3 (numpy, matplotlib, pandas, sklearn), vsql, Jupyter. - Working as a freelancer I created clusters of mobile devices users, which was later used for better advertisement targeting - Technological stack: Python 3 (numpy, matplotlib, pandas, sklearn), vsql, Jupyter.

Data Science Bootcamp

• Mar 2017 - Nov 2017

256 hours bootcamp to gain experience in Data Science. Technologies used during the bootcamp: - Python (matplotlib, pandas, numpy, sklearn, keras) and Jupyter; - PySpark; - mySQL; - MongoDB; - Git; - Linux; My final project was about deceitful headlines detection - article classification checking content and title relation correctness. It was NLP and text classification algorithm to tackle fake news problem. 256 hours bootcamp to gain experience in Data Science. Technologies used during the bootcamp: - Python (matplotlib, pandas, numpy, sklearn, keras) and Jupyter; - PySpark; - mySQL; - MongoDB; - Git; - Linux; My final project was about deceitful headlines detection - article classification checking content and title relation correctness. It was NLP and text classification algorithm to tackle fake news problem.

Research Executive

• May 2016 - Nov 2016

- By conducting market research I helped top FMCG and healthcare companies inPoland to shape their product and advertisement strategies.- My greatest achievement was facilitating a top spirits producer in restoring the firstplace in terms of market share on the Polish market

Junior Research Executive

• Jun 2014 - Apr 2016

Research Trainee

• Sep 2013 - May 2014

Intern

• Jul 2011 - Sep 2011