Experience
Teaching/Training
Staff Teaching mobility | NOVA University, Lisbon, Spain | 20 - 25.06.2022
Staff Training mobility | University of Applied Science, Nyssa, Poland | 13 - 17.05.2019
Staff Teaching and Training mobility, The University of Economics in Bratislava, Slovak Republic and WU, Vienna, Austria 16 - 20.04.2018
Staff Teaching Mobility | Huelva University, Spain | 16 - 20.10.2017
Staff Teaching Mobility| Vilnius University, Lithuania| 25 - 29.09.2017
Certificates
SSC 2022 Case Study in Data Analysis | Statistical Society of Canada | 02.05.2022 - 01.06.2022
Top Ten Finalist CANDEV Data Challenge | Statistic Canada | 04.02.2022 - 07.02.2022
Certified Forecaster in Applied Forecasting Statistics | University of Nicosia, Greece| 26.10.2020 - 01.01.2021
R Software Certificate, Programing in R| Dataquest |19.03.2020
R Software Certificate, Forecasting Using R Ref: 8768151| Data Camp | 02.03.2019
R Software Certificate, PH125.1x: Data Science: R Basics| Cambridge, MA 02138, US | 25.02.2019
R Software Certificate on Programing in R| School of Mathematics & Statistics at Newcastle University | Newcastle, United Kingdom| 07.01.2009
Training on International Projects| University of Bologna, Italy | 07 - 10.11.2017
Training on Academic Staff Training | University of Lecce, Italy | 26.11.2009 - 01.12.2009
State Exam Evaluation | Cito International, Arnhem Netherland | 12.2007
Actuary certification | International Institute of Actuaries- UK | 01.2006 - 02.2007
Machine Learning Certificate | LinkedIn Skill Assessment
R Programing Certificate | LinkedIn Skill Assessment
Microsoft Office Certificate | LinkedIn Skill Assessment
Transition from Data Science to Data Engineering | LinkedIn 2024
Volunteering
Chaperone of the Albanian team for the 2018 MYMC Mediterranean Youth Mathematical Championship 2 | Tor Vergata University of Rome, Italy 18 - 21.07.2018
International Editorial Board of Prizren Social Science Journal | Prizren, Kosovo 02.2021- Ongoing
Member of Innovation and Information Technology Scientific Committee at ISC-IMIT 2019 | Mediterranean University of Albania 11.2019 - Ongoing
Member of the Scientific Committee Conference (ISCBE, 2019) |Skopje, North Macedoni 05.2019 - Ongoing
Ambassador of Albania at CWM (Committee for Women in Mathematics) | Albania 05.2019 - Ongoing
Ambassador of VascAgeNet Cost Action| Albania 07.2020 - Ongoing
Member of International Institute of Forecasters | ISF-International Institute of Forecasters 01.2018 - Ongoing
Member of Albanian Mathematical Association Council| Albania (https://www.ama.org.al/en/) 01.2018 - Ongoing
Member of the board of Kangaroo. Al | Tirana, Albania (https://kangaroo.al/en/contact/) 01.2018 – Ongoing
Reviewer | Advances in Science, Technology and Engineering Systems Journal (https://astesj.com/)
Reviewer | Ecological Informatics Journal (https://www.sciencedirect.com/journal/ecological-informatics)
EU4Innovation Mentor | Third EU for Innovation Hackathon."How to help Albanian businesses with new affordable digital solutions" 25.05.2020 -27.05.2020
Key note speaker | AKCESK- Albanian Cyber Academy 4-th Edition 22.06.2020 – 03.07.2020
Experience with R (programming language).
I have been utilizing R as a programming language since 2006, and it has been an integral part of both my research work and my position as a data lead at Vretta Inc. Over the years, I have developed a deep understanding of R's capabilities and have leveraged its power to perform various data analysis and statistical modeling tasks.
In my research work, I have utilized R to conduct data exploration, visualization, and statistical analysis. I have implemented a wide range of statistical techniques and algorithms using R packages, allowing me to derive meaningful insights and draw conclusions from complex datasets.
As a data scientist, I have been extensively involved in developing and maintaining data pipelines using R programming. This includes data extraction, transformation, and loading processes, as well as data cleaning and quality assurance. I have also utilized R to create automated workflows for data processing and analysis, improving efficiency and accuracy.
Furthermore, I have leveraged R's extensive library of packages for machine learning and predictive modeling. I have built and validated predictive models using techniques such as regression, decision trees, and random forests, contributing to data-driven decision-making within the organization.
In summary, my experience with R spans over many years, both in research and industry settings. I am proficient in using R for data analysis, statistical modeling, and developing data pipelines. My knowledge and expertise with R make me well-equipped to handle a wide range of data-related tasks and challenges.