I'm a data scientist with 4 years of experience in data science and 7 years of experience in software development in total including 3 years on leading and managing positions.
I have worked in different fields of data science, such as recommendation systems, NLP, time series. As a software developer, I have experience working with big enterprise solutions for telecom companies. During my career, I had an experience of successfully providing and implementing data science solutions for customer needs with leading and managing delivery team. Colleagues know me as a highly opened and reliable person who can always be trusted to come up with a new approaches and ideas.
I know that the client’s business comes first, and I never try to impose my ideas on others. Instead, I spend a lot of time understanding the business targets and expectations before suggesting ideas. I can work well alone, but I’m at my best collaborating with others. I have Masters degree in CS from Kyiv Polytechnical Institute, and I always try to be up-to-date and continue to study.
Data Scientist / Data Architect / Manager
email: [email protected]
phone: +380973589692
Data Scientist / Data Architect
Automation of Transfer pricing Benchmarking study
Responsibilities: leading development and data science teams, architecture design, building NLP models (english, ukrainian and russian), classification models, web development, information gathering, managing delivery team of 10 people.
Technologies: python, Flask, Tensorflow, scikit-learn, Azure, Kubernetes
Delivered scalable web solution with ML that currently is used in Deloitte globally for transfer pricing benchmarking automation (the tool reduces time spent by consultant on benchmarking by 40%).
Due to flexible architecture, functional parts of the platform are reused in other projects.
Platform for Merger and Acquisition
Responsibilities: architecture design, building time-series models (mostly working with company financial data), information gathering, managing data science team of 3 people
Technologies: python, Databricks (spark), scikit-learn, Azure
Digital maintenance tool (project kick-off)
Responsibilities: back-end development for MVP, architecture design
Technologies: Java 8, AWS
Project: CRM system for wireless carriers
Responsibilities: prediction modeling, AWS Redshift migration, building NLP models, classification models Technologies: python (Flask, sklearn, gensim, Tensorflow), AWS (Lambda, Redshift, Glue), ETL (Pentacho)
Recommendations provided by developed models increased revenue by 13% for user on average.
Project: U4G (social network for good things)
Responsibilities: recommendation system development, BI development, DWH development
Technologies: Python, ETL (Talend), architecture planning, managing development team of 3 people
Developed recommendation system for social platform, that helped to increase user retention rate
Software engineer
Responsibilities: product development, product integration
Technologies: Java, Maven
Project: Java obfuscator
Responsibilities: algorithm analysis, algorithms implementation
Technologies: Java SE, Android, Gradle
Intern
Project: Migration of SAP ERP on new DB
Responsibilities: configuration of SAP HANA DB, migration of data model from existing DB on SAP HANA, adaptation of SAP for using new data model
Technologies: SAP R/3, Oracle 10g.R2, HANA database, SQL, ABAP4
Bachelor of Computer Science
Master of Information technologies in system design
Self-driving car nanodegree
Statistical Learning cource
DETECTION OF HUMAN RESPIRATION PATTERNS USING DEEP CONVOLUTION NEURAL NETWORKS (http://journals.uran.ua/eejet/article/view/139997)
I'm a data scientist with 4 years of experience in data science and 7 years of experience in software development in total including 3 years on leading and managing positions.
I have worked in different fields of data science, such as recommendation systems, NLP, time series. As a software developer, I have experience working with big enterprise solutions for telecom companies. During my career, I had an experience of successfully providing and implementing data science solutions for customer needs with leading and managing delivery team. Colleagues know me as a highly opened and reliable person who can always be trusted to come up with a new approaches and ideas.
I know that the client’s business comes first, and I never try to impose my ideas on others. Instead, I spend a lot of time understanding the business targets and expectations before suggesting ideas. I can work well alone, but I’m at my best collaborating with others. I have Masters degree in CS from Kyiv Polytechnical Institute, and I always try to be up-to-date and continue to study.
Data Scientist / Data Architect / Manager
email: [email protected]
phone: +380973589692
Data Scientist / Data Architect
Automation of Transfer pricing Benchmarking study
Responsibilities: leading development and data science teams, architecture design, building NLP models (english, ukrainian and russian), classification models, web development, information gathering, managing delivery team of 10 people.
Technologies: python, Flask, Tensorflow, scikit-learn, Azure, Kubernetes
Delivered scalable web solution with ML that currently is used in Deloitte globally for transfer pricing benchmarking automation (the tool reduces time spent by consultant on benchmarking by 40%).
Due to flexible architecture, functional parts of the platform are reused in other projects.
Platform for Merger and Acquisition
Responsibilities: architecture design, building time-series models (mostly working with company financial data), information gathering, managing data science team of 3 people
Technologies: python, Databricks (spark), scikit-learn, Azure
Digital maintenance tool (project kick-off)
Responsibilities: back-end development for MVP, architecture design
Technologies: Java 8, AWS
Project: CRM system for wireless carriers
Responsibilities: prediction modeling, AWS Redshift migration, building NLP models, classification models Technologies: python (Flask, sklearn, gensim, Tensorflow), AWS (Lambda, Redshift, Glue), ETL (Pentacho)
Recommendations provided by developed models increased revenue by 13% for user on average.
Project: U4G (social network for good things)
Responsibilities: recommendation system development, BI development, DWH development
Technologies: Python, ETL (Talend), architecture planning, managing development team of 3 people
Developed recommendation system for social platform, that helped to increase user retention rate
Software engineer
Responsibilities: product development, product integration
Technologies: Java, Maven
Project: Java obfuscator
Responsibilities: algorithm analysis, algorithms implementation
Technologies: Java SE, Android, Gradle
Intern
Project: Migration of SAP ERP on new DB
Responsibilities: configuration of SAP HANA DB, migration of data model from existing DB on SAP HANA, adaptation of SAP for using new data model
Technologies: SAP R/3, Oracle 10g.R2, HANA database, SQL, ABAP4
Bachelor of Computer Science
Master of Information technologies in system design
Self-driving car nanodegree
Statistical Learning cource
DETECTION OF HUMAN RESPIRATION PATTERNS USING DEEP CONVOLUTION NEURAL NETWORKS (http://journals.uran.ua/eejet/article/view/139997)