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Senior Data Scientist | Machine Learning engineer | Python programmer
Oleksii Romanko
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
Hi! I’m a senior data science and machine learning engineer with more than 5 years of experience. I will help you with optimization and automation of your business processes! My specialization includes predictive analytics (sales, rate, demand, etc. forecasts, customer analytics), NLP (various text analysis) and computer vision (image and video object detection). Besides that I have an experience using python (for data manipulation, web parsing, REST, ML, fuctional style and documenting), different scripting languages and tools for platforms development and DB applications (AWS, Google Cloud Services, Azure, IBM Watsons, Oracle, SQL Server, MySQL, Neo4j, MongoDB, Dynamodb).
I have worked with companies from healthcare sector, marketing, FMCG, finance and insurance, IT.
Would be glad to speak with you and help become smart and digital!
I have worked with companies from healthcare sector, marketing, FMCG, finance and insurance, IT.
Would be glad to speak with you and help become smart and digital!
Markets
United Kingdom
Links for more
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Industries
Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
Available
My experience
2019 - ?
job
Senior Data Scientist
DATAOBRII.
• Advanced research in areas of NLP, computer vision, adversarial modelling.
• Projects planning and agile project management of team members.
• Training and optimization of deep neural networks of various kinds, transfer learning.
• Data engineering: cloud deployments of Mongo clusters, Mysql, Postgresql databases, setting up ElasticSearch, Kafka,
performance and queries optimization using Mongo, Mysql, Postgresql, data and performance visualizations setups using Mongo
Charts, DataDog, Grafana, AWS management: EC2 servers, EMR, Lambda, S3 storage, AuroraDb
• Projects planning and agile project management of team members.
• Training and optimization of deep neural networks of various kinds, transfer learning.
• Data engineering: cloud deployments of Mongo clusters, Mysql, Postgresql databases, setting up ElasticSearch, Kafka,
performance and queries optimization using Mongo, Mysql, Postgresql, data and performance visualizations setups using Mongo
Charts, DataDog, Grafana, AWS management: EC2 servers, EMR, Lambda, S3 storage, AuroraDb
Kafka, UP, Planning, Lambda, Storage, Mongo, NLP, Agile project management, Neural networks, Data engineering, Engineering, Mysql, Computer vision, Management, Elasticsearch, Cloud, Agile, Training, PostgreSQL, Research, AWS, Project Management
2019 - 2019
job
Research Engineer
SYMUDYNE.
• Took part in creation of positive feedback asset pricing framework, based on Franke and Westerhoff, Hommes asset pricing models, programming, testing and visualization of agent-based model.
• Developed new methodologies for optimization and calibration of Agent-based models.
• Built visualization framework for assessing of the accuracy of calibration and quality of the model.
• Took part in building cloud and local cluster deployments.
• Developed new methodologies for optimization and calibration of Agent-based models.
• Built visualization framework for assessing of the accuracy of calibration and quality of the model.
• Took part in building cloud and local cluster deployments.
Research, Cloud, Testing, Visualization, Framework, Agent
2017 - 2019
job
Researcher, Data analysis department
PERCEPTIONBOX.
• Trained survival models (nonparametric models, COX model) for prediction of the probability of financial failure of traders.
• Provided analytical reports and suggestions on trends and patterns for labour force in the area of financial assets trading
• Text mining, using IBM cognitive models and data from Twitter, Stanford NLTK and Spacy models
• Sound recognition (sentence level speech and baby voice) using deep learning models (recurrent, convolutional networks).
Wavenet.
• Computer vision projects using Mask R-CNN and Inception models.
• Provided analytical reports and suggestions on trends and patterns for labour force in the area of financial assets trading
• Text mining, using IBM cognitive models and data from Twitter, Stanford NLTK and Spacy models
• Sound recognition (sentence level speech and baby voice) using deep learning models (recurrent, convolutional networks).
Wavenet.
• Computer vision projects using Mask R-CNN and Inception models.
Data Analysis, Deep learning, R, Researcher, Computer vision, Twitter, Patterns, Sound recognition
2016 - 2017
job
Business Analyst, Scala programmer
CANYON CAPITAL, venture capital startup company.
• Coordinated the team of 9 developers, planned development process
• Provided deep outside analysis of target market, business plans development
• Provided detalization for product owner requirements
• Provided deep outside analysis of target market, business plans development
• Provided detalization for product owner requirements
Product owner, Analyst, Development
2016 - 2017
job
Junior Media Researcher
INITIATIVE, media agency.
• Provide analysis and statistics about advertisement (tv, non-tv)
• Conducting research and optimization in the field of media planning
• Developed predictive models and wrote VBA scripts
• Conducting research and optimization in the field of media planning
• Developed predictive models and wrote VBA scripts
Data Analysis, Research, VBA, SAS, Researcher, TV, Media planning, Statistics, Planning
2017 - 2017
job
Data Analyst
SOFTWAREWORX.
• Work with distributed nosql datasets, write python code for analytical maintenance of inflow data
• Analyze data and work with tables (filtering, merging, slicing, providing additional calculations and programming AI scripts)
• Build backend server architecture on top of AWS
• Analyze data and work with tables (filtering, merging, slicing, providing additional calculations and programming AI scripts)
• Build backend server architecture on top of AWS
Python, AWS, Research, NoSQL, Architecture, Analyst, Development, Ai, Server, Calculations, Backend
2016 - 2016
job
programmer, initial development team
Scala.
• Took part in services architecture planning.
• Wrote Scala part of server backend, based on lightweight akka architecture.
INITIATIVE, media agency Kyiv, Ukraine
• Wrote Scala part of server backend, based on lightweight akka architecture.
INITIATIVE, media agency Kyiv, Ukraine
Backend, Scala, Architecture, Development, Server, Akka, Backend
2015 - 2015
internship
Summer Intern
Automatization Department.
• Automatized the process of customer's order maintenance
• Interviewed indoor stuff about business and process requirements
• Developed concept of business process automatization
• Interviewed indoor stuff about business and process requirements
• Developed concept of business process automatization
Internal
My education
2018
-
?
KINGS COLLEGE LONDON
Doctorate, Management Studies
Doctorate, Management Studies
• Joint program with National Institute of Economic and Social Research, Economic Statistics Centre of Excellence, Cambridge
University
2016
-
2018
IGOR SIKORSKY KYIV POLYTECHNIC INSTITUTE
Masters, Computer Science (Intellectual Data Analysis in Project Management)
Masters, Computer Science (Intellectual Data Analysis in Project Management)
• Projects “Taxi delivery platform”, “Online barter system”, “Traffic load GPS rebalancing system”, “Evolutional programming
and genetic algorithms for prediction problems in economics”, “Actuarial model for IT risks insurance companies”
• Participant of international case study competitions ESTIEM TIMES SEMIFINAL BRUSSELS (2017)
• Master thesis topic: “Modelling of the time series based on non – Markov stochastic processes”
2016
-
2018
KYIV SCHOOL OF ECONOMICS / UNIVERSITY OF HOUSTON
Masters, Economics
Masters, Economics
• Teacher Assistant in Econometrics
• Projects “Georgia health system overview”, “Cover bidding detection in government procurement system”,
"Effect of CB key policy rate on long-term bond yields" (report at the National Bank of Ukraine), “Fundamentals of bitcoin:
intrinsic value of bitcoin cryptocurrency”, “Peer to peer online lending platforms: influence of lender profile on borrowing
opportunities” (project in Econometrics)
• Master thesis topic: “How can fractals help predict prices in the option markets better? Comparison to classical option pricing
models.”
2012
-
2016
IGOR SIKORSKY KYIV POLYTECHNIC INSTITUTE
Bacherol's, System Analysis
Bacherol's, System Analysis
• Winner certificate in SAS Ukraine Student Ambassador Program scientific works competition with project "Fractal nature of your
data or fractal analysis and predictive modelling in time series: fBm, R/S analysis and V-statistics, SFARIMA"
• Winner of local case-study competitions ESTIEM TIMES LG KYIV (2015, 2016)
• Project at Verkhovna Rada of Ukraine “Intellectual analysis of government bills”
2012
-
2016
NATIONAL TECHNICAL UNIVERSITY OF UKRAINE “IGOR SIKORSKY KYIV POLYTECHNIC INSTITUTE”
Bachelors, System Analysis
Bachelors, System Analysis
National Institute of Economic and Social Research Economic Statistics Center of Excellence
N/a, N/a
N/a, N/a
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