English:
Upper Intermediate
Roman R.
Vetted by YouTeam
Ukraine
UTC +02:00
Ukraine/Kyiv
English:
Upper Intermediate
Senior AI/ML Engineer with over 11 years of commercial experience in data science, machine learning
Data analysis, prognostic analytics, market analysis and forecast, developing models, performing quantification of qualitative changes, creating classification algorithms with fuzzy sets theory, implementing predictive models for business strategy development and business appraisal, designing analytical reports
Want to hire this engineer?
Check if Roman is availableExpertise
Years of commercial development experience
11 years of experience
Core technologies
Other technologies
Project Highlights
Venture investment enhancements
The client was a US company specializing in venture investments. The project goals were to aggregate data from sources and perform intellectual analytics defining the most suitable candidate companies for venture investment. The challenges were to predict events and activities, generate intellectual scores and signals, and provide data cleaning. The scope spanned the extension and maintenance of the existing functionality. The engineering efforts focused on the development of a database and the backend part.
Responsibilities & achievements
- Developed the model for predicting the company first fundraise during the next 6 months - Generated intellectual company score with onsite activity of users on a certain platform - Incorporated new data sources and implemented new features to the existing intellectual scoring model - Increased the speed of data processing queries with PostgreSQL Project technology stack Pandas, Matplotlib, XGBoost, Seaborn, LightGBM, NumPy, Scikit-learn, AWS, PostgreSQL
Advertising solution
The client was a European company that focused on technology solutions for the Advertising domain. One of the goals of their business transformation strategy geared towards the development of a brand-new solution for advertising. The project scope presupposed the extension and maintenance of the existing functionality. The engineering efforts included the development of a database and the backend part.
Responsibilities & achievements
- Developed models for automated bidding strategy for different companies - Created the model to increase the CTR for Advertising campaign - Performed the advertising platforms segmentation with respect to activity and trading efficiency - Predicted the bidding price to participate the second-price auction Project technology stack R, SQL, Spark, Zeppelin, MongoDB, Aerospike
Recommendation engine
Having growing demands in the development pipeline and end-customer requests, the client needed a flexible and client-oriented engineering team to develop a recommendation engine. The project scopepresupposed the development of an MVP. The engineering efforts focused on the development of the backend part.
Responsibilities & achievements
- Developed algorithms for generating recommendations on different phases of user lifecycle - Built similarity measures for categorized features - Implemented probabilistic approximate similarity calculations applying MinHash - Created complex recommendations Project technology stack Python, R, Scala, MLlib, Zeppelin, Spark SQL, Cassandra, HDFS
Education
Higher education in Computer Science
Agency
400+
GMT+2
Lviv, Kyiv, Odesa, Kharkiv, Ivano-Frankivsk, Krakov, Berlin
Core Expertise
Industries
Logistics & Transportation, Banking & Finance, Construction & Real estate, Internet & Telecom, Data Science & Machine Learning, FMCG, Big Data, Automotive, Internet of Things
Want to hire this engineer?
Check if Roman is available