Professional Informatics Studies (3-year studies) (courses offered in Macedonian)
Professional Informatics Studies
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Резултати од пребарување
31/12/2020
Компанијата Loka (loka.com) ја објавува својата трета ML пракса за студентите на Финки. Нудиме интересни предизвици од полето на Machine Learning, Data Analysis, Data Mining и Data Processing. Очекуваме студенти кои се заинтересирани да работат со големи податоци и кои сакаат да научат како да користат некои од следните алатки: TensorFlow, Beam, Spark, Flink, Airflow, Docker, Kubernetes, KubeFlow, MLFlow, како и некои од Cloud платформите, како AWS, GCP и Azure. Ќе бидете вклучени во изработка на проект за третата генерација практиканти, од почеток до крај - анализа на податоците, креирање модел, прием на податоци, податочен pipeline, сервирање на модел и клиентска апликација.
Заинтересираните кандидати може да се пријават на следниот email: hristina@loka.com
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10/11/2021
Компанијата Loka (loka.com) ја објавува својата петта ML пракса за студентите на Финки. Нудиме интересни предизвици од полето на Machine Learning, Data Analysis, Data Mining и Data Processing. Очекуваме студенти кои се заинтересирани да работат со големи податоци и кои сакаат да научат како да користат некои од следните алатки: TensorFlow, Beam, Spark, Flink, Airflow, Docker, Kubernetes, KubeFlow, MLFlow, SageMaker како и некои од Cloud платформите, како AWS, GCP и Azure. Ќе бидете вклучени во изработка на проект за петтата генерација практиканти, од почеток до крај - анализа на податоците, креирање модел, прием на податоци, податочен pipeline, сервирање на модел и клиентска апликација.
Заинтересираните кандидати може да се пријават на следниот email:
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02/12/2022
Студентите Дејан Сламков и Венко Стојанов од ФИНКИ под менторство на професорите доц. д-р Бојана Котеска и проф. д-р Анастас Мишев ја освоија наградата најдобар труд на конференцијата Software Quality, Analysis, Monitoring, Improvement, and Applications - SQAMIA 2022 која се одржа од 11 до 14 септември во Нови Сад, Србија. Трудот е со наслов "A Comparison of Data FAIRness Evaluation Tools".
На конференцијата беше одлично оценет и презентиран уште еден труд со наслов "Testing RESTful APIs - Use Case: RESTful API for Solving Multidimensional Time-independent Schrödinger Equation" од студентот Давор Димоски.
Трудовите со кои се преставија студентите се изработени како проектни задачи по предметот Софтверски квалитет и тестирање и истите се поддржани од ФИНКИ и Х2020 проектот Ni4os-Europe.
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25/10/2023
Гостинското предавање на тема Heart monitoring of industrial tooling machines ќе се одржи на 31.10.2023 со почеток од 13:00 часот во Амфитеатарот на Финки од страна на Игор Томовски (Data engineer) и Атанас Ивановски (Operations manager) од Kessler.
Агенда:
- Who is this 100 years old company, KESSLER?
- Products & Applications
- Digital system solutions
- Project examples
Говорници:
Igor Tomovski (Data engineer)
Almost 25 years of experience in both industry and the academy sector, and a professional and scientific focus set on dynamical and complex systems analysis, system identification and control, directed towards development of practical applications for variety of industrial processes.
Atanas Ivanovski (Operations manager)
Experienced professional in telecommunication and industry sector, starting from projects technical implementation and operations of network infrastructures, proceeded by business development and management.
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13/11/2023
Компанијата Loka (loka.com) ја објавува својата петта ML пракса за студентите на Финки. Нудиме интересни предизвици од полето на Generative AI, LLMs, Machine Learning, Data Analysis, Data Mining и Data Processing. Очекуваме студенти кои се заинтересирани да работат со големи податоци и кои сакаат да научат како да користат некои од следните алатки: TensorFlow, LangChain, llama.cpp, Beam, Spark, Flink, Airflow, Docker, MLFlow, SageMaker како и некои од Cloud платформите, како AWS, GCP и Azure. Ќе бидете вклучени во изработка на проект за петтата генерација практиканти, од почеток до крај - анализа на податоците, користење на GenAI и сопствени модели, прием на податоци, податочен pipeline, сервирање на модел и клиентска апликација.
Заинтересираните кандидати може да се пријават на следниот линк: https://boards.greenhouse.io/lokainc/jobs/4140454007
Заинтересираните кандидати може да се пријават на следниот линк: https://boards.greenhouse.io/lokainc/jobs/4140454007
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Табови
Aleksandar Stojmenski, Ph.D.
Табови
Georgina Mircheva Ph.D.
On behalf of Eurostat, we are pleased to announce the final round of the European Statistics Awards for Web Intelligence, focusing on Multinational Enterprise (MNE) Groups Data: Discovery & Extraction Challenges. Running in parallel, these competitions aim to drive innovation, develop new methodologies, and benchmark approaches for processing web content in MNE Group data analysis.
Both competitions are now open for registration and the deadline for registering is 22 April 2025.
By running both challenges in parallel, the European Statistics Awards Programme aims to enhance MNE Group Data analysis by enabling those participants that develop integrated pipelines to benefit from possible synergies, while also allowing specialised teams to fully focus on either of the two challenges.
The competition pursues three key goals: driving innovation in web intelligence for statistics, benchmarking approaches for discovering financial MNE Group data sources, and evaluating extraction methods using advanced technologies. This initiative seeks to advance methodologies and improve statistical practices in MNE Group analysis.
We believe that the researchers in your country (in particular data scientists) would be most interested in signing up for this opportunity.
Teams (1–5 members) will have the opportunity to apply their Web Intelligence expertise and programming skills (particularly in Python and R) to a real-world use case while competing for substantial prizes.
Prizes for each challenge include:
- €10 000 for first place in the Accuracy Award
- €10 000 for first place in the Reusability Award
- €5 000 for first place in the Innovativeness Award
A team securing first place in all three categories can win up to €25 000 per challenge. By achieving the top prize in both challenges, a team could earn a total of up to €50 000.
We would therefore appreciate if you could:
- post the announcement (below), flyer , a link to the European Statistics Awards homepage on your website; and press release on the Eurostat website;
- distribute the announcement (below) and flyer to your mailing lists (via a newsletter or a mail message);
- share the announcement and flyer with your research networks;
- repost LinkedIn or X announcements with #EUStatisticsAwards, #EUwebIntelligenceAwards
If you would like to compete yourself please register at https://statistics-awards.eu/accounts/signup/
Announcement
Eurostat is pleased to announce the final round of the European Statistics Awards for Web Intelligence, with a focus on Multinational Enterprise (MNE) Groups Data: Discovery & Extraction Challenges. Running in parallel, these competitions aim to drive innovation, develop new methodologies, and benchmark approaches for processing web content in MNE Group data analysis.
Both competitions are now open for registration and the deadline for registering is 22 April 2025.
By running both challenges simultaneously, the European Statistics Awards Programme aims to strengthen MNE Group Data analysis by enabling those participants that develop integrated pipelines to benefit from possible synergies, while also allowing specialised teams to fully focus on either of the two challenges.
The competition focuses on three main objectives: fostering innovation in web intelligence for statistics, benchmarking methods for identifying financial MNE Group data sources, and assessing extraction techniques using advanced technologies. This initiative contributes to refining methodologies and enhancing statistical practices in MNE Group analysis.
Do you know how to code in Python or R? Register by 22 April 2025 and try your chances on your own or with a team of colleagues.
You and your team have the chance to win up to €50 000 by securing first place in all three award categories across both competitions.
The top prize breakdown per competition includes:
- €10 000 for Accuracy Award
- €10 000 for Reusability Award
- €5 000 for Innovativeness Award
Additionally, second and third place prizes are awarded as follows:
- Accuracy Award: €5 000 (2nd place) | €3 000 (3rd place)
- Reusability Award: €5 000 (2nd place) | €3 000 (3rd place)
- Innovativeness Award: €3 000 (2nd place) | €1 000 (3rd place)
By placing first in all three categories in one competition, your team could win up to €25 000, and by doing so in both competitions, you could win a total of €50 000.
For more information on the European Statistical Awards Programme, please refer to the European Statistics Awards website or drop us a line to learn about any further details.
Many thanks in advance for considering signing up, and for sharing this information,
The European Statistics Awards secretariat
15/04/2025
Tuesday, April 15, 2025
14/03/2023
Во BI&DWH има седум отворени позиции:
Data Analyst
What you do
Producing reports using data collected from different databases
Data analysis and troubleshooting
Analyzing requests from other business units and translating them into coherent and easily presentable reports
Create dashboards that consolidate and organize business KPIs that are informative, intuitive, and actionable using modern visualization tools
Reviewing and validating data quality
What you offer
Strong analytical skills to help collect, measure, organize and analyze data
SQL knowledge
Knowledge of data visualization tools (like Microsoft Power BI)
Knowledge of Data Warehouse, databases and ETL processes
Self – Starter
Curious and forward-looking
Agile and responsive
An understanding of the ethics of gathering and working with sensitive or confidential data
DWH Developer
What you do
Thorough understanding of Data warehousing concepts
Develop, improve, test and integrate ETL Data Warehouse and Business Intelligence Solutions
Building dimensional models based on user requirements
Identifying data sources and working with source system team and data analysts to define data target solutions
End to end responsibility for specification and implementation for various areas in DWH model for tel-co industry
What you offer
University Degree - IT, mathematics, telecommunications or similar
Relevant working experience in DWH/BI environment
Good knowledge in writing complex queries in SQL
Understanding of Data Models: Conceptual, Logical, and Physical & Dimensional/Relational Data Model Design.
Proficient in ETL development tools for Teradata (Fast Load, BTEQ, Fast Export)
Data Engineer
What you do
Design, create and maintain data architectures that enable data extraction and transformation for predictive modeling
Design, implement, test, deploy, and maintain batch and stream data processing solutions
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Build cloud, scalable, real time, and high-performance data lake solutions using Azure stack
Maintain data dictionary documentation on ML datasets
Create data tools for analytics and data scientist team members
What you offer
Degree in Computer Science or related fields
Advanced SQL proficiency
Knowledge of scripting languages (e.g. python, bassh, shell)
Experience building and optimizing data pipelines, architectures and datasets
Experience with cloud platforms (MS Azure, AWS, Google Cloud)
Experience with data pipeline and workflow management tools (e.g. Data Factory, Informatica, SSIS, Pentaho…)
Design and development of ETL/ELT workflows
Familiarity with source control tools (e.g. Gitlab, Github, Bitbucket) and CI/CD process
Strong problem-solving skills
Plus points:
Knowledge of Azure services- Synapse, Data Factory, AML Studio, Azure Data Lake, Azure Databricks
Hands-on experience on big data frameworks like Spark, Kafka
Experience working on real-time data and streaming applications
Knowledge of python and python data packages (e.g. numpy, pandas…)
Machine learning concepts
Customer Service Data Analyst
What you do
Explore creative and innovative ways to make customer feedback more accessible, more accurate, and more meaningful.
Innovate and experiment with ways of collecting, measuring, and examining data that lead to useful analysis and business insights, detect customer pain points and customer needs to improve customer experience.
Design and develop useful metrics, predictive models, dashboards, analysis, and data reporting to support a variety of Customer Service needs.
Builds tools to bring customer insights to drive data-driven actions.
Create presentations that simplify complex ideas, focus on actionable results/insights, and showcase the power of customer data for better customer experience.
What you offer
Strong background in statistics and data analysis
Strong applied mathematical, statistical, and analytical skills to design and interpret predictive, descriptive, and inferential statistics
Data visualization aptitude using both quantitative and qualitative data
Demonstrated experience with business intelligence visualization tools
(e.g., Qlik Sense, Tableau, or Power BI)
Intermediate MS Office skills, especially Excel and PowerPoint
Strive for higher levels of achievement and ability
Digital Transformation Specialist
What you do
Create, develop and articulate a vision, strategy and roadmap for delivering the best customer experience on the web and online platforms.
Build consensus and alignment with cross-functional team, buy in from stakeholders and senior leadership.
Integrate usability studies, research and market analysis, into product requirements to drive impactful, premium user experiences.
Gather, analyze and document customer’s business requirements including information on products and services offered by competitors.
Understand market needs and user pain points and translate them into product solutions and write the product requirements.
Translate requirements and specifications for new features into user stories and associated acceptance criteria, and partner with design, engineering and analytics to follow through to execution.
Define and analyze metrics that inform the success of products, discover optimization opportunities, hypothesize, and launch A/B tests to inform product decisions.
Measure post-delivery performance and optimize to drive customer experience benefit and cost savings.
Lead cross-functional commercial and IT teams in local and A1 Group-driven projects.
What you offer
2+ years of web product development experience;
Experience in working with partners, vendors and stakeholders;
Experience in making data-driven decisions (A/B experimentation, user testing, data analysis, competitors and market analysis, defining metrics);
Experience with UX, user flows, wireframes and prototyping;
Experience in Agile/Scrum and traditional SDLC methodologies;
Fluency in JIRA, MS Office and Analytic tools (Google Analytics preferred);
Degree with focus on E-Business, Marketing or related areas, or equivalent combination of education and experience;
Challenges the status quo, and is not afraid of doing whatever needs to get done to unblock yourself and the team;
Strong capability to think strategically;
Proactive, initiative and confidential personality;
Fluent in English both verbally and written.
Video Service Engineer
What you do
Participate in the process of development and operations of video platforms (Cable, Terrestrial, IPTV, OTT, etc)
Take part in implementation and testing process of Set Top Box (STB) devices and Smart TV/OTT applications.
Hold a Standby duty (on-call) according to a rotation schedule with other colleagues from the unit.
Prepare technical reports and perform analysis of statistical report on video service related KPI-s.
What you offer
University degree in Engineering/Computer Science disciplines.
Experience with good system engineering practices and vendor engagement.
A working knowledge and experience with some of the following technologies would be an asset:
Digital video system solutions (Cable, Terrestrial, IPTV, OTT, etc.)
Working knowledge with video/audio compression formats
Video processing equipment
Basic Linux & Unix operating system knowledge
Content protection (CAS/DRM)
Basic IP network knowledge (unicast and multicast)
Video Services Intern
What you do
Assist with video equipment installation & configuration
Assist with channels reception & processing
Assist with test of latest software builds of STB
Assist with test of new application versions for OTT & Smart TV/Android TV
Track and report data from service quality monitoring platforms
What you offer
Current enrollment in a bachelor’s degree program
Prior internship experience is a plus but not required
Experience using Linux & IP networks is a plus but not required
Strong desire to learn along with professional drive
Passion for the telecommunication industry and its best practices
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