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PhD level Data Scientist focusing on Predictive Modelling and Anomaly Detection
Gabrijel Persin
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
I am a PhD level engineer with expertise in signal processing, intelligent system design and process automation. I have strong scientific and technical skills in Data Science particularly time series analysis, trend analysis, anomaly detection, data fusion, and machine learning, as well as software engineering and web application development.
I gained most of my data science experiences working on applied research projects using big data from industrial machines during my PhD and Post-doctoral research fellowship. I developed a variety of algorithms for data extraction (ETL), cleaning, structuration, and transformation while using advanced spectral and statistical analysis to design methodologies for the extraction of useful insights from the data. I explored diagnostic and prognostic analytics and anomaly detection, and developed systems for autonomous decision making using trend analysis, machine learning, and data fusion techniques.
I also have extensive software engineering and web application development experiences that I gained while working for an IT consultancy agency. I continued to gain technical proficiency in the development of content and document management systems, application programming interfaces (APIs), software integration, data security, and more. During this time, I co-developed an AI-powered Shopping Specialist and Assistant (AISSA) chatbot solution using natural language processing and decision tree technologies to provide conversations capabilities and skills.
In recent years, I have been focusing on applying my data science expertise to business data, while developing data analytics and business intelligence tools to extract insights from sales and marketing data, CRM data, website analytics data, and similar to offer tools to empower business decision making processes. For this purpose, I have been appointed as a lead data scientist and software developer, and have managed multiple projects simultaneously while leading technical data science and web development teams.
Apart from knowledge and experiences, I have always been known to be constructive, dedicated, responsible, creative, and hard-working, therefore, I believe that by working with me, I could bring significant value to your business.
I gained most of my data science experiences working on applied research projects using big data from industrial machines during my PhD and Post-doctoral research fellowship. I developed a variety of algorithms for data extraction (ETL), cleaning, structuration, and transformation while using advanced spectral and statistical analysis to design methodologies for the extraction of useful insights from the data. I explored diagnostic and prognostic analytics and anomaly detection, and developed systems for autonomous decision making using trend analysis, machine learning, and data fusion techniques.
I also have extensive software engineering and web application development experiences that I gained while working for an IT consultancy agency. I continued to gain technical proficiency in the development of content and document management systems, application programming interfaces (APIs), software integration, data security, and more. During this time, I co-developed an AI-powered Shopping Specialist and Assistant (AISSA) chatbot solution using natural language processing and decision tree technologies to provide conversations capabilities and skills.
In recent years, I have been focusing on applying my data science expertise to business data, while developing data analytics and business intelligence tools to extract insights from sales and marketing data, CRM data, website analytics data, and similar to offer tools to empower business decision making processes. For this purpose, I have been appointed as a lead data scientist and software developer, and have managed multiple projects simultaneously while leading technical data science and web development teams.
Apart from knowledge and experiences, I have always been known to be constructive, dedicated, responsible, creative, and hard-working, therefore, I believe that by working with me, I could bring significant value to your business.
Markets
United Kingdom
Lithuania
(Remote
only)
Denmark
(Remote
only)
Norway
(Remote
only)
Sweden
(Remote
only)
Links for more
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Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
Available
My experience
2019 - ?
job
Head of Data Science
Qualimental Technologies Ltd.
o Supervise insights, machine-learning and engineering projects
o Drive the creation and implementation of best practices for statistical data modelling, analysis, and machine learning
o Supervise data exploration and consultation on reporting tools
o Lead data team to work efficiently within the product and the client team
o Define the overarching data strategy and vision for data pipeline, data products
o Leading and managing development and data science teams
o Design and development of ETL systems and leading data engineering tasks
o Drive the creation and implementation of best practices for statistical data modelling, analysis, and machine learning
o Supervise data exploration and consultation on reporting tools
o Lead data team to work efficiently within the product and the client team
o Define the overarching data strategy and vision for data pipeline, data products
o Leading and managing development and data science teams
o Design and development of ETL systems and leading data engineering tasks
Data Science, Data mining, Data engineering, Artificial Intelligence, Web development, Python, Sql, Azure, AWS
2018 - ?
job
Lead Data Scientist and Developer
AISSA Labs.
o Create Product Concept and Assess Technical Feasibility
o Built the MVP (Minimum Viable Product) and Application Architecture
o Hire and Lead the Team of Developers, Data Scientists and Conversation Designer
o Direct Product Technical Development, QA and Testing
o Supervise Dev Ops and Data Management
o Develop Company-wide and Product IT Security Strategy
AISSA Labs builds automated live chatting-bots and expert system, specializing in the shopping assistant area. AISSA currently has 2 bots applications: Alyx and Felix.
Alyx Chatbot is a virtual assistant that chat with customers and help them select the most suitable electronic products according to their specific needs. Felix Chatbot is the automated customer service solution for the online retailers to serve their customers 24/7 cost-effectively.
www.aissalabs.com
o Built the MVP (Minimum Viable Product) and Application Architecture
o Hire and Lead the Team of Developers, Data Scientists and Conversation Designer
o Direct Product Technical Development, QA and Testing
o Supervise Dev Ops and Data Management
o Develop Company-wide and Product IT Security Strategy
AISSA Labs builds automated live chatting-bots and expert system, specializing in the shopping assistant area. AISSA currently has 2 bots applications: Alyx and Felix.
Alyx Chatbot is a virtual assistant that chat with customers and help them select the most suitable electronic products according to their specific needs. Felix Chatbot is the automated customer service solution for the online retailers to serve their customers 24/7 cost-effectively.
www.aissalabs.com
Data Science, App and web development, Python, Artificial Intelligence
2015 - ?
job
Python and Web Application Developer
Termitnjak.
o Web development, application development, software development;
o Designed and continuously developing AI Chatbot AISSA (electronic products virtual shopping assistant);
o Design and development of content and documents management systems using Python and open source frameworks (Pyramid, Flask, Plone, etc.).
I have co-founded Termitnjak in 2009 with a purpose of creating an IT group able to provide web development, consulting and hosting services to EU and worldwide markets. We have been striving towards a specialisation in Open Source and Python based frameworks, specifically Plone, Pyramid and Kotti. I have joined Termitnjak as a CEO, project manager and developer in 2015, with the intention of improving my business and executive skills. My main activities include:
Business management and strategic planning
Project management
Software development
Web system design and development
http://termitnjak.com/en
o Designed and continuously developing AI Chatbot AISSA (electronic products virtual shopping assistant);
o Design and development of content and documents management systems using Python and open source frameworks (Pyramid, Flask, Plone, etc.).
I have co-founded Termitnjak in 2009 with a purpose of creating an IT group able to provide web development, consulting and hosting services to EU and worldwide markets. We have been striving towards a specialisation in Open Source and Python based frameworks, specifically Plone, Pyramid and Kotti. I have joined Termitnjak as a CEO, project manager and developer in 2015, with the intention of improving my business and executive skills. My main activities include:
Business management and strategic planning
Project management
Software development
Web system design and development
http://termitnjak.com/en
Python, App and web development, Content Management, Data Analysis, Data engineering, Websites, Web applications, Html5
2018 - 2018
job
Head of Data Science
The Quarry.
o Design and development of ETL systems and leading data engineering tasks
o Leading and managing development and data science teams
o Design and development of ETL systems and leading data engineering tasks
o Data analytics, KPI measurement, Event tracking
o Diagnostic and Predictive analytics, Business Intelligence
o Leading and managing development and data science teams
o Design and development of ETL systems and leading data engineering tasks
o Data analytics, KPI measurement, Event tracking
o Diagnostic and Predictive analytics, Business Intelligence
ETL, Python, Data engineering, Data mining, Data Warehouse, Data Science
2017 - 2018
job
Lead Data Scientist
Chatbot Ltd.
o Leading and managing development and data science teams
o Design and development of online signal processing technologies for analysis of behavioural patterns from social media;
o Web application development for social media tracking;
o Big data, trend analysis and pattern recognition.
o Predictive analytics, Machine learning, Classification
o Design and development of online signal processing technologies for analysis of behavioural patterns from social media;
o Web application development for social media tracking;
o Big data, trend analysis and pattern recognition.
o Predictive analytics, Machine learning, Classification
Data Science, App and web development, Data, Data Modeling
2012 - 2017
job
Research Fellow & Visiting Academic
Cranfield University.
In 2012 I began working as a Research Fellow at Cranfield University (UK), where I was actively involved in scientific and applied research in the field of condition monitoring using vibration analysis techniques. The main application areas were related to detection of damage in wind turbine blades and industrial gearboxes. The central topic of the research was vibration analysis using methods of higher order spectra (HOS), and the main fields of research included:
Condition Monitoring
Technical diagnostics
Structural fatigue diagnosis
Gearbox fault diagnosis
Wind turbine blade fatigue diagnosis
Vibration analysis
Student supervision
I have been actively involved into a 24 month EU financed project with an objective to provide an automated diagnostic and prognostic system for wind turbine blades and industrial gearboxes:
1. Monitur - New Condition Monitoring Technologies for the Reduction in Maintenance Costs of Wind Turbine Renewable Electricity Generation (2012 – 2014)
2. IndGear - On-line early damage diagnosis, prognosis and root cause analysis for Industrial multi-stage gearboxes used in the water industry. (2015 - 2017)
After my full time Research Fellow position, I continue to cooperate with Cranfield University, Vibro Acoustics group in School of Aerospace, Transport and Manufacturing in part time terms. I continue to work in scientific research in the field of Condition Monitoring of structural damage of mechanical and civil engineering systems, as well as project management activities for several EU funded projects, such as:
1. CompInnova - An Advanced Methodology for Inspection and Qualification of Damage on Aerospace Composites and Metals using an Innovative Approach
2. InnoSmart - An Innovative Method for improving the Structural Integrity using SMA revolutionary technology
3. PileInspect - Highly innovative signal processing tools based on time frequency techniques will be employed in order to improve the effectiveness of pile diagnosis and perform automatic pile integrity testing.
Condition Monitoring
Technical diagnostics
Structural fatigue diagnosis
Gearbox fault diagnosis
Wind turbine blade fatigue diagnosis
Vibration analysis
Student supervision
I have been actively involved into a 24 month EU financed project with an objective to provide an automated diagnostic and prognostic system for wind turbine blades and industrial gearboxes:
1. Monitur - New Condition Monitoring Technologies for the Reduction in Maintenance Costs of Wind Turbine Renewable Electricity Generation (2012 – 2014)
2. IndGear - On-line early damage diagnosis, prognosis and root cause analysis for Industrial multi-stage gearboxes used in the water industry. (2015 - 2017)
After my full time Research Fellow position, I continue to cooperate with Cranfield University, Vibro Acoustics group in School of Aerospace, Transport and Manufacturing in part time terms. I continue to work in scientific research in the field of Condition Monitoring of structural damage of mechanical and civil engineering systems, as well as project management activities for several EU funded projects, such as:
1. CompInnova - An Advanced Methodology for Inspection and Qualification of Damage on Aerospace Composites and Metals using an Innovative Approach
2. InnoSmart - An Innovative Method for improving the Structural Integrity using SMA revolutionary technology
3. PileInspect - Highly innovative signal processing tools based on time frequency techniques will be employed in order to improve the effectiveness of pile diagnosis and perform automatic pile integrity testing.
Mechanical Vibrations, Signal processing, Digital signal processing, Data Analysis, Data Science, Research
2009 - 2012
job
Young Researcher
University of Ljubljana.
After finishing my Master degree from Electrical Engineering in 2009, I was accepted into a governmentally funded Young Researcher PhD programme at the Faculty of Mechanical engineering, UL. I began my PhD studies in the field of condition monitoring (CM), condition based maintenance (CBM), technical diagnostics, fault detection, vibration and oil analysis, under supervision of prof. dr. Jožef Vižintin (UL) and prof. dr. Đani Juričić (IJS). The main activities included:
Industrial gearbox fault detection and isolation,
Bearing fault diagnosis,
Gear fault diagnosis,
Vibration analysis,
Oil analysis,
Tutorial teaching assistant
I was actively involved in several research projects such as:
1. An intelligent system for condition monitoring of rotating machinery (2005 – 2008)
2. Integrated Diagnostic System for Mechanical Drives (2009 – 2012)
3. Prognostics and health management of mechanical drives based on novel MEMS sensor networks (2011 – 2014)
4. CC ACT - Competence Center for Advanced Control Technologies (2011 – 2014)
In 2013 I submitted my PhD thesis titled Fault detection and localisation of mechanical drives based on data fusion techniques, where I explored a potential of fusing vibration and oil analyses for improved reliability of condition monitoring and diagnosis.
Industrial gearbox fault detection and isolation,
Bearing fault diagnosis,
Gear fault diagnosis,
Vibration analysis,
Oil analysis,
Tutorial teaching assistant
I was actively involved in several research projects such as:
1. An intelligent system for condition monitoring of rotating machinery (2005 – 2008)
2. Integrated Diagnostic System for Mechanical Drives (2009 – 2012)
3. Prognostics and health management of mechanical drives based on novel MEMS sensor networks (2011 – 2014)
4. CC ACT - Competence Center for Advanced Control Technologies (2011 – 2014)
In 2013 I submitted my PhD thesis titled Fault detection and localisation of mechanical drives based on data fusion techniques, where I explored a potential of fusing vibration and oil analyses for improved reliability of condition monitoring and diagnosis.
Electrical Engineering, Data Analysis, Research, Mechanical Engineer, Monitoring
My education
2012
-
2015
Cranfield University
Post-Doctorate, Data Processing, Autonomous System Development, Condition Monitoring
Post-Doctorate, Data Processing, Autonomous System Development, Condition Monitoring
2009
-
2013
University of Ljubljana
Doctor of Philosophy (Ph.D), Mechanical Engineering, Condition Monitoring, Vibration Analysis, Oil Analysis, Damage Diagnosis
Doctor of Philosophy (Ph.D), Mechanical Engineering, Condition Monitoring, Vibration Analysis, Oil Analysis, Damage Diagnosis
2002
-
2009
University of Ljubljana
Master, Electrical Engineering, Mechatronics, Intelligent Systems, Automation Engineering
Master, Electrical Engineering, Mechatronics, Intelligent Systems, Automation Engineering
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