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Bartek Roszak

Data Scientist at Inbox Liberator

Summary

Passionate about new technologies, especially about the AI field.

Inborn analyst.

Quick-learner.

Driven in the pursuit of my goals.

Work experience

10-2017Present

Lead Deep Learning Engineer

Inbox Liberator

Designing whole learning systems to create state-of-arts prediction models.

  • using transfer learning to achieve the best accuracy with a small dataset
  • experimenting with various neural nets architectures (LSTM, CNN, Attention)
  • creating and deploying deep learning models to check if data is correctly labeled
  • using semi-supervised learning to make use of unlabeled data
  • co-creating framework for rapid prototyping in PyTorch
  • using active learning method to reduce needs of manually labeled data
04-2018Present

Professional Trader

Self-employed

Building AI models for automated stock trading. 
On my own.
With success.

11-201610-2017

Data Scientist

Transparent Data

Creating machine learning models.
Implementing these modelsin  production.
Recommending new technologies which can replace present solutions.

Main projects:

  • Image processing (R + h2o + tensorflow)
    • character recognition
  • NLP (Stanford's coreNLP, Apache's openNLP, R)
    • entity identification (finding company name in press article)
    • text classification (unification of companies representation types)
    • Record Linkage (Python + Record Linkage + ElasticSearch)
  • Unsupervised learning (R + RMarkdown)
    • customer segmentation
08-201203-2018

Professional Trader

Coco Trading

Creating Machine Learning models for auto-trading.

  • Company's capital managing (1 000 000 USD).
  • Creating simple decision trees for automated trading.
  • Searching for correlation between the stock market and derivatives.
  • Co-creating analytics tools.

Education

09-2016Present

Advanced analytics with SAS Institute

Poznań University of Economics
10-200606-2010

Finance and Accounting

WSB Universities of Economics