Bohdan
From Croatia (GMT+2)
8 years of commercial experience
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Bohdan – Deep Learning, Data Science, NLP
Meet Bohdan, a Data Scientist with 7 years of expertise in the IT field. His extensive knowledge spans a broad spectrum of areas, including network anomaly detection, Natural Language Processing (NLP), time series analysis (with a specialization in stock and crypto market analysis), statistics, as well as applications in advertising and fintech through the implementation of machine learning techniques. Bohdan has a rich portfolio of successfully developed AI projects and is known for his proactive approach. If you're looking for a Data Scientist, Bohdan is the one you've been dreaming about.
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Potentially possibleExperience Highlights
Senior Data Scientist
B2B ad tech project, mostly focused on real-time bidding models and NLP-based ad campaign ranking system with millions of daily queries and managing/monitoring available ad inventory.
- Developed ad campaign/website ranking system using the latest NLP models for millions of websites and thousands of campaigns daily, optimized storage costs, and employed heuristics and algorithmic optimization
- Developed model monitoring tools, dashboards, and back-testing instruments
- Conducted A/B testing of RTB models and different features
- Reduced bot traffic by 1.5%
- Took part in GPT-3/4/J, Chat-GPT POC development
NLP/AI Engineer
Internal securities data provider with conversational AI capable of text2code generation (including complex aggregate requests), basic dialogue capabilities, embedding-based search engine, and a recommender system.
- Developed hybrid approach search engines/content-based recommendation systems, measured model effectiveness, beating Elastic Search nDCG score by 70%
- Developed conversational AI models capable of translating user utterances into SQL/NoSQL requests
- Created synthetic datasets from scratch, used data augmentation techniques
- Took part in speech recognition R&D
- Fine-tuned BERT-based NLP models to specific domains
Minor open source contributor
Open source python clustering library.
- Was in charge of a visualization task of genetic algorithm clustering during his own research
- Used PyClustering as an open-source library, however during his experiments he noticed incorrect crossover mask generation and certain issues with constructor parameters
- Fixed the bug with mask generation
- Slightly refactored the constructor so it was able to have the required parameters passed correctly
- The changes were introduced manually in PR #474
Data Scientist
An AI start-up is trying to monetize ML in every conceivable way. From predicting sports outcomes and tracking players from video feeds to reinforcement learning trading agents.
- Created a sports outcome prediction model and paired it with a profitable bet allocation strategy
- Took part in the development of tracking through detection model (background subtraction + Kalman filter) for football player analysis, optimized reading stream, improved FPS throughput from 30 to 45 fps
- Developed several Q-learning-based trading agents, beating the annual return benchmark by 1.5%
Junior C# Developer/ML Developer
IP telephony/B2C ads focused CRM with Google analytics/social media integration and basic conversion outcome predictive models.
- Was responsible for REST API development
- Was in charge of oAuth2.0 integration
- Prototyped and integrated a regression model for conversion modeling using Accord.Net
- Created clustering based on client website activity
- Integrated speech-to-text translation of recorded phone calls into the CRM using Google Speech API