Experienced researcher with 20+ years in academic and industrial settings. Specialized in mathematical modeling, experimental data analysis, and optimization techniques for complex engineering problems. Currently transitioning into Data Science with extensive coursework and hands-on experience.
Over the past year, I have been working as a Data Scientist at an IT company, focusing on IoT data analysis, anomaly detection, and report generation. Gained practical expertise in querying databases and working with JSON-formatted data. Strong critical thinking, mathematical aptitude, and a passion for continuous learning.
Over the past year, I have been working as a Data Scientist at an IT company, focusing on IoT data analysis, anomaly detection, and report generation. Gained practical expertise in querying databases and working with JSON-formatted data. Strong critical thinking, mathematical aptitude, and a passion for continuous learning.
Seeking opportunities to apply my expertise in a dynamic Data Science role.
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Work experience
Jan 2025 - Mar 2025
Consultant, Data Analytics & Chatbot Developer
Consultant, Data Analytics & Chatbot Developer
In my previous consulting projects, I developed and trained a FastText model to vectorize shipment descriptions and integrated large language models into the text-processing pipeline for automatic tariff-code classification at VertaiSolutions Limited. Then, as a consultant at Cloee.co, I conducted an in-depth analysis of production data and prepared reports with key insights that enabled cycle optimizations; I designed and optimized complex SQL queries to extract critical metrics; I developed and adapted an NLP chatbot, increasing request-processing speed; and I refactored Python code with the introduction of unit tests.
Jun 2024 - Jan 2025
Startup Solution, Machine Learning Engineer
Startup Solution, Machine Learning Engineer
A chapter in my career! I had the opportunity to work at Startap Solution | Noranet.io as a Machine Learning Engineer.
In this role, I streamlined data processes in Zoho CRM by creating API requests and implementing lookup fields to enhance data entry efficiency. I worked with Thing Board, analyzing and generating telemetry data, developing interactive dashboards and widgets, and writing rules for effective telemetry processing.
It was an exciting experience to contribute to a company redefining data transmission standards with LoRaNet!
In this role, I streamlined data processes in Zoho CRM by creating API requests and implementing lookup fields to enhance data entry efficiency. I worked with Thing Board, analyzing and generating telemetry data, developing interactive dashboards and widgets, and writing rules for effective telemetry processing.
It was an exciting experience to contribute to a company redefining data transmission standards with LoRaNet!
Jun 2022 - May 2023
Zave Group, Project Manager
Zave Group, Project Manager
In my previous role, I managed bilingual website content, identifying and rectifying discrepancies. I assisted customers in selecting suitable heat pumps and calculating power requirements. Proficiency in ERP software was a highlight, while honing communication and stress management skills was essential. This experience cultivated adaptability, effective communication, and composure under pressure, which I'm excited to apply to new opportunities.
Participated in the development of a vibration sensor for diagnosing damage to mechanisms. My main task was to verify the developed sensors and develop a mathematical model for detecting damage when changing the frequency.
In this job, I developed the following skills: verification, development of a new design, calculation in FEM programs (ANSYS), reporting.
In this job, I developed the following skills: verification, development of a new design, calculation in FEM programs (ANSYS), reporting.
Participation in the EU framework research program, preparation and testing of structures and materials for the determination of properties, analysis and calculation in finite element programs. I was working on analysis of the results and their publication. Have an experience in teaching structural mechanics, supervised bachelor and master thesis for students. I developed the following skills: communication, research and task analysis, verification and validation, cooperation with foreign partners, reporting, planning and conducting tests.
Education
Riga Technical University, Faculty of Building and Civil Engineering.
Topic: Vibration Correlation Technique for Cylindrical Structural Safety Assessment.
Topic: Vibration Correlation Technique for Cylindrical Structural Safety Assessment.
2004 - Master degree in Civil Engineering
Riga Technical University, Faculty of Building and Civil Engineering.
Topic: Finite element design and dynamic analysis of laser-wended sandwich panels.
Topic: Finite element design and dynamic analysis of laser-wended sandwich panels.
Professional skills
- — Analytical and critical thinking;
— Experience in the implementation of creative concepts and research of various scales;
— Excellent organizational skills;
— Excellent communication skills;
— The application of appropriate project management methodology;
— Excellent researcher skills.
Project experience
2018-2020
VCT.RTU
VCT.RTU
2018-2020
VCT.RTU
VCT.RTU
The project aims to extend the robustness of the vibration correlation method for evaluating imperfection-sensitive composite cylindrical structures.
My task was to draw up a test plan, prepare and conduct experiments (ultrasonic testing, laser scanning, experimental modal analysis, and buckling test), process and analyze the results and develop a new approach to data normalization. Part of this work was included in my dissertation.
My task was to draw up a test plan, prepare and conduct experiments (ultrasonic testing, laser scanning, experimental modal analysis, and buckling test), process and analyze the results and develop a new approach to data normalization. Part of this work was included in my dissertation.
2015-2017
BNM4EKS.RTU
BNM4EKS.RTU
2015-2017
BNM4EKS.RTU
BNM4EKS.RTU
The main objective of the proposed research is to develop a methodology and to set a good testing practice in order to increase the efficiency in the design of launcher and satellite structures, by explicitly demonstrating the risk mitigation practice in the form of an assessment of damage resistance properties of ultra-thin wall sandwich structures.
My tasks were: the creation of a computational model in the finite element method, laser scanning of damage, experimental modal analysis, and analysis of experimental data.
My tasks were: the creation of a computational model in the finite element method, laser scanning of damage, experimental modal analysis, and analysis of experimental data.
2012 - 2015
DESICOS
DESICOS
2012 - 2015
DESICOS
DESICOS
The European space industry is demanding lighter and cheaper transport systems for launch vehicles. The DESICOS project contributed to these goals through a new approach to the design of imperfection-sensitive launcher composite structures that effectively exploited the idea of the worst imperfection: the single disturbing load approach.
My tasks in this project were: implementation/reliability improvement/verification of the vibration correlation method, testing and data analysis, writing scientific articles, and communication with partners.
My tasks in this project were: implementation/reliability improvement/verification of the vibration correlation method, testing and data analysis, writing scientific articles, and communication with partners.
2003-2007
InterSHIP
InterSHIP
2003-2007
InterSHIP
InterSHIP
InterSHIP aimed to increase the competitiveness of EU shipbuilders by better integrating tools and methods for the design and manufacturing of complex one-of-a-kind vessels. The project enables shipyard engineers to consider leading-edge knowledge in environmental aspects, safety, comfort, and cost efficiency in simultaneous engineering, thus making sure, that optimum solutions can be obtained for the total life-cycle of complex ships.
My tasks in this project were: planning a numerical experiment, creating a FEM model, processing data, and writing scientific articles.
My tasks in this project were: planning a numerical experiment, creating a FEM model, processing data, and writing scientific articles.
2005-2008
CASSEM
CASSEM
2005-2008
CASSEM
CASSEM
The performance of passive and hybrid vibration control systems is highly dependent on the viscoelastic material layer and the properties of the piezoelectric material. In this project, numerical identification was developed based on forward/reverse approaches.
In this project, my tasks were: preparing and conducting an experiment to determine the mechanical properties of a viscoelastic material by solving an inverse problem.
In this project, my tasks were: preparing and conducting an experiment to determine the mechanical properties of a viscoelastic material by solving an inverse problem.
SAND.CORe
2004-2005
2004-2005
SAND.CORe
2004-2005
2004-2005
The SAND.CORE project aimed to foster the application of innovative sandwich structures in European transport, in particular the maritime sector. This was done by benchmarking, harmonizing, and complementing previous research work and evaluating state-of-the-art knowledge and experiences.
My task was to optimize the deck design of the ship.
My task was to optimize the deck design of the ship.
Additional education
Now
Now
Course Description: Introduction to Data Science
Get acquainted with the fundamental aspects of Data Science, exploring the key responsibilities of data analysts, data engineers, and machine learning specialists. Navigate through every stage of working with data, from identifying issues to gathering business requirements.
Learn to extract data from various sources, conduct exploratory analysis, and prepare data for further use. Develop the skills to recognize problems, collect business requirements, and implement solutions. You will also have hands-on experience in training and deploying a pre-existing model and explore roles in product and marketing analytics.
Discover how to formulate and test hypotheses, mastering essential tools such as Python, SQL, Excel, and Power Bi for effective data analysis and interpretation.
Get acquainted with the fundamental aspects of Data Science, exploring the key responsibilities of data analysts, data engineers, and machine learning specialists. Navigate through every stage of working with data, from identifying issues to gathering business requirements.
Learn to extract data from various sources, conduct exploratory analysis, and prepare data for further use. Develop the skills to recognize problems, collect business requirements, and implement solutions. You will also have hands-on experience in training and deploying a pre-existing model and explore roles in product and marketing analytics.
Discover how to formulate and test hypotheses, mastering essential tools such as Python, SQL, Excel, and Power Bi for effective data analysis and interpretation.
2023, November
2023, November
The course covers how big data looks and how to process it: restoring missing values, removing anomalies, and predicting feature values. I also learned about the analysis of artificial intelligence models, identifying their strengths and weaknesses, and providing reasoned opinions on issues related to artificial intelligence.
2022, February
2022, February
In the course, most of the steps are practical tasks for creating SQL queries. Each step includes a minimal database or SQL theory, examples of similar queries, and an explanation of the implementation.
2022, January
2022, January
This is a basic course for beginner testers that is teaching how to write automated UI tests in the Python programming language using the Selenium library.
2021, December
2021, December
Data Scientist is machine learning and data analysis. Machine learning methods as decision trees and neural networks. The practical part of the course is devoted to getting acquainted with the most popular libraries for data analysis using the Python programming language - Pandas and Scikit-learn.
2021, November
2021, November
The course covers two-dimensional arrays, tuples, sets, dictionaries, and more. The course is divided into 11 modules with theoretical and practical materials, as well as assignments.
2007, May -
June
June
2007, May -
June
June
Department of Mechanical Engineering, National Yulin University of Science and Technology, Taiwan
2003, November 2004, February
2003, November 2004, February
Institute of Lightweight Structures and Materials, Technical University of Dresden, Germany
This is an ERASMUS exchange project. In this project, I learned how to test parts and determine natural frequencies.
My IT projects
All of my projects are on GitHub
2023, June
2023, June
- Versatile Video Input: One of the highlights of this project is its flexibility in video source selection. Users have the option to input video from either their camera or from an existing file.
- Customizable Tracking Area: I understand that different scenarios demand different tracking requirements. With this system, users have the freedom to choose the specific area they want to track within the video frame.
- Adaptable Tracker Types: I have integrated various tracker types to ensure accurate results. Users can easily choose the type that best suits their tracking needs, ensuring optimal tracking performance.
2022, April
2022, April
My Matlab code, a mere step away from my dissertation, deciphers critical loads from Polytec equipment's ASCII measurements. Through subtle frequency shifts, it transforms data into predictive insights for cylindrical structures.
2022, January
2022, January
I completed a small homework assignment on the Stepik course, involving Selenium in Python and the Page Object Model.
2021, December
2021, December
This is my initial project. I aimed to identify peaks in sports activity. The project remains ongoing.
Publications
Over the past 20 years, I have written several scientific articles in cited journals.
The vibration correlation technique (VCT) is being developed as a non-destructive test method for evaluating the buckling load of the shells. In this study, the accuracy and robustness of an existing and a modified VCT method are evaluated.
Polymers
Polymers
Applicability of the vibration correlation technique (VCT) for nondestructive evaluation of the axial buckling load is considered. Thin-walled cylindrical shells with and without circular cutouts have been produced by adhesive overlap bonding from a sheet of aluminium alloy.
Shock and Vibration
Shock and Vibration
This paper describes a method for the determination of elastic parameters (elastic moduli and Poisson's ratio) of orthotropic composite plate-type structural elements using the results of natural frequency measurements. The identification of parameter values is provided by the minimization of weighted squared difference (discrepancy) between physically measured frequencies and natural frequencies calculated by Finite Element Method.
ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik
ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik
Finite element and experimental vibration analyses of viscoelastic composite structures are performed. The present implementation gives the possibility to preserve the frequency dependence for the storage and loss moduli of viscoelastic materials and to use the same hypothesis - complex modulus model in the free vibration, frequency and transient response analyses. Dynamic characteristics of viscoelastic composite structures are evaluated by the energy method, the method of complex eigenvalues, from the resonant peaks of the frequency response function and using the steady-state vibrations.
Computational Methods and Experimental Measurements XII
Biography
I, Eduards Skukis, was born in 1981 in Preili, Latvia. After successfully completing my Bachelor's degree in 2002, I pursued a Master's degree at the esteemed Riga Technical University (RTU), graduating in 2004. Following my academic journey, I commenced my career as a researcher at RTU's Institute of Materials and Structures.
Over the past two decades, I have accumulated extensive experience in mechanics, specializing in numerical simulations and practical experiments, particularly in vibrations and modal analysis. I've had the privilege to contribute to research projects supported by esteemed institutions such as the European Space Agency, the European Regional Development Fund, the European Social Fund, and the framework projects of the European Commission. These opportunities have allowed me to significantly advance knowledge in my field and engage in pioneering research endeavors.
In tandem with my mechanical pursuits, I have nurtured a deep interest in programming since my school days. As I progressed in my career, I seamlessly integrated my programming skills with my research activities, enhancing my analytical capabilities and broadening my horizons.
Three years ago, I began transitioning into Data Science, aiming to apply my knowledge in this field. I completed several courses on Stepic ("Python Generation", Introduction to Data Science and Machine Learning, Interactive SQL Trainer) and further expanded my expertise through the Skillbox Data Science PRO program. This education provided me with a solid foundation in data analysis, machine learning, and working with databases.
Most recently, I worked as a Data Analyst at Startap Solution | Noranet.io, where I focused on data processing and analysis. My responsibilities included optimizing Zoho CRM processes by developing API requests and implementing lookup fields to streamline data entry. Additionally, I worked with Thing Board, analyzing and generating telemetry data, creating interactive dashboards and widgets, and writing rules for effective telemetry processing. This role deepened my expertise in working with databases, querying large datasets, and handling JSON-formatted data.
With a strong foundation in research, engineering, and programming, I am eager to continue growing in Data Science and applying my analytical skills to solve complex problems.
Over the past two decades, I have accumulated extensive experience in mechanics, specializing in numerical simulations and practical experiments, particularly in vibrations and modal analysis. I've had the privilege to contribute to research projects supported by esteemed institutions such as the European Space Agency, the European Regional Development Fund, the European Social Fund, and the framework projects of the European Commission. These opportunities have allowed me to significantly advance knowledge in my field and engage in pioneering research endeavors.
In tandem with my mechanical pursuits, I have nurtured a deep interest in programming since my school days. As I progressed in my career, I seamlessly integrated my programming skills with my research activities, enhancing my analytical capabilities and broadening my horizons.
Three years ago, I began transitioning into Data Science, aiming to apply my knowledge in this field. I completed several courses on Stepic ("Python Generation", Introduction to Data Science and Machine Learning, Interactive SQL Trainer) and further expanded my expertise through the Skillbox Data Science PRO program. This education provided me with a solid foundation in data analysis, machine learning, and working with databases.
Most recently, I worked as a Data Analyst at Startap Solution | Noranet.io, where I focused on data processing and analysis. My responsibilities included optimizing Zoho CRM processes by developing API requests and implementing lookup fields to streamline data entry. Additionally, I worked with Thing Board, analyzing and generating telemetry data, creating interactive dashboards and widgets, and writing rules for effective telemetry processing. This role deepened my expertise in working with databases, querying large datasets, and handling JSON-formatted data.
With a strong foundation in research, engineering, and programming, I am eager to continue growing in Data Science and applying my analytical skills to solve complex problems.
edskukis@gmail.com
