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职场能力评价定义
Roman Kyslyi
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
Summary
- 7 years of professional experience in the IT industry
- Experience in Java / Python and related technologies
- Experience in cloud computing (AWS, MS Azure) and BigData (Databricks, Spark)
- Experience in Machine learning and deep learning
- Strong problem solving skills
- Strong organizational and communication skills
- Interested in researching and applying my skills for problem solving
Experience
Deloitte & Toushe, June 2016 - Present
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
Statflo (part time, remote), July 2016 - April 2018
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.
U4G LLC, June 2015 - June 2016
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, NetCracker, Oct. 2013 - June 2015
Software engineer
Responsibilities: product development, product integration
Technologies: Java, Maven
Samsung R&D Ukraine, Sept. 2012 - Oct. 2013
Project: Java obfuscator
Responsibilities: algorithm analysis, algorithms implementation
Technologies: Java SE, Android, Gradle
SAP AG Ukraine, June 2012 – August 2012
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
Technical Skills
- Programming languages:
- Java, SQL, Python
- Databases:
- Oracle, SAP HANA, PostgreSQL, MySQL, MongoDB, AWS Redshift, Redis, Elastic Search
- ETL:
- Talend, AWS Papeline, Pentacho, Airflow
- Machine learning:
- Python, Numpy, scikit-learn, pandas, spacy, NLTK,
- Tensorflow, Pytorch
- traditional machine learning algorithms (classification, regression, etc.), regularization techniques
- Experience building neural networks with different architectures - FCN, RNN, CNN
- Knowledge NLP techniques like topic modeling, language
models, sequence to sequence models, attention
- traditional NLP techniques (count based distributed representation, part of speech tagging, dependency parsing, Hidden Markov models, CRF, LDA, etc.)
- Big data tools:
- Hadoop, MapReduce, Spark, Databricks
- Frameworks
- Spring and Spring Boot, JPA
Hibernate, Java concurrency (Executors, Fork/Join), Flask, Celery
- Deployment and CI tools
- Docker, Docker Compose, Ansible, Terraform, Zappa, Jenkins, Circle CI, Kubernetes
Education & Certification
Institute of Applied System Analysis. Kyiv Polytechnical Institute, 2009 - 2015
Bachelor of Computer Science
Master of Information technologies in system design
Udacity, Feb 2017 - Dec 2017
Self-driving car nanodegree
Stanford online, Feb 2015 - Feb 2015
Statistical Learning cource
Papers
DETECTION OF HUMAN RESPIRATION PATTERNS USING DEEP CONVOLUTION NEURAL NETWORKS (http://journals.uran.ua/eejet/article/view/139997)
Additional information
Languages
- Ukrainian - native
- English - advanced
- German - intermediate
- Russian - advanced
- Chinese - elementary
Additional skills
- Experience of leadership of sport groups (up to 15 people)
- Experience of organization public events
Roman Kyslyi
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
Summary
- 7 years of professional experience in the IT industry
- Experience in Java / Python and related technologies
- Experience in cloud computing (AWS, MS Azure) and BigData (Databricks, Spark)
- Experience in Machine learning and deep learning
- Strong problem solving skills
- Strong organizational and communication skills
- Interested in researching and applying my skills for problem solving
Experience
Deloitte & Toushe, June 2016 - Present
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
Statflo (part time, remote), July 2016 - April 2018
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.
U4G LLC, June 2015 - June 2016
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, NetCracker, Oct. 2013 - June 2015
Software engineer
Responsibilities: product development, product integration
Technologies: Java, Maven
Samsung R&D Ukraine, Sept. 2012 - Oct. 2013
Project: Java obfuscator
Responsibilities: algorithm analysis, algorithms implementation
Technologies: Java SE, Android, Gradle
SAP AG Ukraine, June 2012 – August 2012
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
Technical Skills
- Programming languages:
- Java, SQL, Python
- Databases:
- Oracle, SAP HANA, PostgreSQL, MySQL, MongoDB, AWS Redshift, Redis, Elastic Search
- ETL:
- Talend, AWS Papeline, Pentacho, Airflow
- Machine learning:
- Python, Numpy, scikit-learn, pandas, spacy, NLTK,
- Tensorflow, Pytorch
- traditional machine learning algorithms (classification, regression, etc.), regularization techniques
- Experience building neural networks with different architectures - FCN, RNN, CNN
- Knowledge NLP techniques like topic modeling, language
models, sequence to sequence models, attention
- traditional NLP techniques (count based distributed representation, part of speech tagging, dependency parsing, Hidden Markov models, CRF, LDA, etc.)
- Big data tools:
- Hadoop, MapReduce, Spark, Databricks
- Frameworks
- Spring and Spring Boot, JPA
Hibernate, Java concurrency (Executors, Fork/Join), Flask, Celery
- Deployment and CI tools
- Docker, Docker Compose, Ansible, Terraform, Zappa, Jenkins, Circle CI, Kubernetes
Education & Certification
Institute of Applied System Analysis. Kyiv Polytechnical Institute, 2009 - 2015
Bachelor of Computer Science
Master of Information technologies in system design
Udacity, Feb 2017 - Dec 2017
Self-driving car nanodegree
Stanford online, Feb 2015 - Feb 2015
Statistical Learning cource
Papers
DETECTION OF HUMAN RESPIRATION PATTERNS USING DEEP CONVOLUTION NEURAL NETWORKS (http://journals.uran.ua/eejet/article/view/139997)
Additional information
Languages
- Ukrainian - native
- English - advanced
- German - intermediate
- Russian - advanced
- Chinese - elementary
Additional skills
- Experience of leadership of sport groups (up to 15 people)
- Experience of organization public events