Details
Hello, Carrots!
Join us in Wrocław for a Machine Learning workshop we’ve planned with EY Global Delivery Services Poland to master your Natural Language Processing skills ???
Do you want to take your Machine Learning skills to the next level? You’re in the right place!
What’s our plan?
We will be working on a large dataset of wine reviews and corresponding scores. We will build a Machine Learning/NLP powered model which will read reviews (which are unstructured free text) and predict the quality score of the wine.
Wait a minute, is it just for fun? No, although we’ll be having fun with wine reviews, this is a simplified version of similar business problems like assessing the correctness of VAT declarations, quantifying risk in legal contracts, entity extraction in large documents… meaning you can then go and put your skills into practice in commercial projects.
Workshop details
There will be a basic version of the code already built, and you will be asked to ‘fill the gaps’ to produce a working model or build everything from scratch if you choose so. EY GDS mentors experienced in ML will help you throughout.
We’ll also discuss some common pitfalls and issues with building models like that during & at the end of the workshop. At the end, you will get a chance to present your solutions and receive awards after some scoring by our panel.
Apply here till September 23rd: http://bit.ly/mlsw-wro-register
We will announce the results on September 27, and vacant seats for the reserve list on September 30.
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Terms & Conditions: https://gocarrots.org/wp-content/uploads/2019/08/Regulamin-warsztatu-Machine-Learning-Sprint-Workshop.pdf
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Experience
Kamil has over 4 years of experience designing and developing Machine Learning solutions for both the Academia and the Industry. His main areas of expertise are Deep Learning, Computer Vision, NLP, XGBoost and statistics.
In the academic field, Kamil co-developed a deep learning algorithm used to build a 3D model of a protein based on NMR spectrum. The model was built based on state-of-the-art computer vision algorithms.
Kamil also developed models for risk level classification of loan customers (both retail and companies) and clustering of company clients for the task of CRM optimization for banks and other IT companies.
In this year he also mentored during Oxford Hackathon “AI in people selection: building ethical AI tools for unbiased decision-making”.
Areas of Expertise
Machine Learning, Deep Learning, Data Science, Mathematics and Statistics, Computer Vision.
Education
Kamil has completed his MSc in System Engineering and BSc in Mathematics at Wrocław University of Science and Technology
Experience
Lander Ketelaars has joined EY in 2011 as an accountant – after incremental process improvement and automation work Lander moved on to various roles in Quality Assurance, IT Project Management and SAP implementation before setting up and leading an RPA Delivery Center in Wroclaw. After moving into Global Innovation, Lander spun up a .NET web development team which produced applications for internal audit teams. He is currently setting up an AI Build Center in Poland, which will be focused on Machine Learning projects.
Areas of Expertise
People Management, Project Management, Innovative technology, Audit, finance & accounting, continuous improvement
Education
Lander completed a BSc in economics and a Masters in Business Administration in EHSAL, Brussels
Experience
Maciej has over 4 years of experience in the quantitative development area for the financial banking industry. He was responsible for implementing several regulatory risk measures for a trading book of the Bank like Value at Risk, Stress Tests, Capital Adequacy or Value Adjustments for market risk. Maciej implemented machine learning solutions in terms of outliers’ detection for reconciliation purposes of the multinational investment company.
Areas of Expertise
Market risk, Quantitative Finance, Data Science, AI/ML.
Education
Maciej has completed his MSc and BSc at the Faculty of Management, Computer Science and Finance at Wrocław University of Economics
Experience
Maciej has 3 years of experience in data science, including quantitative research of capital markets in a wealth management firm and contributing to two startup projects. His area of expertise is Time Series modeling using statistical methods as well as sequential machine learning models. Maciej developed and operationalized machine learning solutions in algorithmic trading, credit scoring, investment product recommendation and capital market regime analysis.
Areas of Expertise
Machine Learning, Data Science, Statistics, Econometrics
Education
MSc in Quantitative Economics and Computer Science at Warsaw School of Economics, BSc in Economics at Poznan University of Economics
Experience
Rafal has 1 year of experience in data-related software development. He took part in developing tools for data analysis and implementing machine learning solutions for solving real business problems. He is writing BSc Thesis on the practical implementation of artificial neural networks for the purpose of real-time surge protectors diagnostics. He also created a few implementations of algorithmic trading and home automation projects.
Areas of Expertise:
Data Science, Machine Learning, Electrical Engineering
Education:
Electrical Engineering – Wroclaw University of Science and Technology
Experience
Tomasz has over 4 years experience in applying mathematics in financial risk based industry. Over that time he developed few models using classical statistical modelling methods applied to credit risk scoring, as well as machine learning algorithms used in development of early warning systems. He also worked on implementation of expert based statistical methodologies in rating systems.
Areas of Expertise
Machine Learning, Data Science, Credit Risk, AHP Methodology, Statistics.
Education
MSc in Mathematics (Mathematics in Finance and Insurance Specialization) at Wrocław University of Science and Technology.