Experience

Wunderman Thompson Technology

• United Kingdom
• IT Services and IT Consulting
• 100 - 200 Employee

• AI Engineer

  • Jun 2022 - Present



T-Mobile

• United States
• Telecommunications
• 700 & Above Employee

• AI Developer

  • Apr 2019 - May 2022

  As part of a Network Analytics team operating for Deutsche Telekom, I was working on diverse projects focused on improving network quality, security and profitability for the whole Deutsche Telekom Group. All projects required multiple source data preparation, complex statistical data analysis and machine learning model building. The expected outcome of a given project was either a recommendation based on a model’s outcome or an automated ML model ready for implementation. Machine learning techniques I used include classification and prediction (xgboost, neural networks), anomaly detection, “black box” explanation, data segmentation (k-means, SOM), sensitivity analysis, time series analysis. Technologies: Python (pandas, numpy, scikit, keras, pyplot) and Git Show less



Tooploox

• Poland
• IT Services and IT Consulting
• 100 - 200 Employee

• Junior ML/AI Researcher

  • Jul 2018 - Mar 2019

  I was part of project based on a multimodal (picture & text) similarity search. I was responsible for adjusting the project to business needs and improving the algorithm involving methods such as deep learning (CNN & NLP), object detection and KNN search. Technologies: Python (numpy, keras, tensorflow, scikit), Git and Docker I was part of project based on a multimodal (picture & text) similarity search. I was responsible for adjusting the project to business needs and improving the algorithm involving methods such as deep learning (CNN & NLP), object detection and KNN search. Technologies: Python (numpy, keras, tensorflow, scikit), Git and Docker



TensorCell

• Poland
• Software Development
• 1 - 100 Employee

• Member of a Research Project

  • Mar 2018 - Jun 2018

  I was responsible for research on genetic algorithm and its implementation in Python. My work was part of Solving Traffic Signal Setting Problem Using Machine Learning publication (https://ieeexplore.ieee.org/document/8883380) Technologies: Python (numpy) I was responsible for research on genetic algorithm and its implementation in Python. My work was part of Solving Traffic Signal Setting Problem Using Machine Learning publication (https://ieeexplore.ieee.org/document/8883380) Technologies: Python (numpy)



Citi

• United States
• Financial Services
• 700 & Above Employee

• Junior Statistician

  • Mar 2017 - Feb 2018

  I was responsible for complex validation of predictive models and providing recommendations supported by statistical analyses aimed to enhance the quality of the models. Technologies: SAS 4GL I was responsible for complex validation of predictive models and providing recommendations supported by statistical analyses aimed to enhance the quality of the models. Technologies: SAS 4GL



Citi

• United States
• Financial Services
• 700 & Above Employee

• Summer Internship in AML Optimization Department

  • Jul 2016 - Sep 2016

  My main responsibility was to provide SAS 4GL algorithm for automated data processing and visualizations. My main responsibility was to provide SAS 4GL algorithm for automated data processing and visualizations.



Nutricia

• Netherlands
• Hospitals and Health Care
• 700 & Above Employee

• Internship in Sales department

  • Jul 2015 - Dec 2015

  My tasks were based on sales data analysis and visualizations in Excel. My tasks were based on sales data analysis and visualizations in Excel.