Researcher
Certified Teacher
Data Analyst
Hamed Ahmadinia
GREAT
EXPERIENCE
With over a decade of interdisciplinary experience, I have thrived in roles as an educator, researcher, and data analyst. My teaching portfolio covers a range of subjects, including Information Behavior, Finance, Tax Accounting, and Application of Computer in Accounting. As a researcher, I have contributed to projects like the Mobile Futures initiative, focusing on trust and values in European labor markets. My expertise in data analytics, particularly with Python, has enabled me to generate impactful insights into societal challenges and deliver actionable outcomes.
AUTONOMY
I thrive on autonomy in both academic and professional settings. Whether independently delivering courses or conducting complex research, I take initiative to ensure high-quality outcomes. My ability to manage diverse tasks—from teaching advanced concepts to performing data-driven investigations—demonstrates my self-reliant approach to problem-solving and innovation.
INVOLVMENT
Collaboration and active engagement are at the core of my work. As a dedicated educator, I involve students through interactive learning and group assignments. In research, I engage with interdisciplinary teams to explore critical topics like cross-cultural behavior and immigration attitudes. My commitment to teamwork ensures that my contributions consistently enhance project outcomes and learning environments.
6.2025- Current
Senior Researcher
Work ExperienceUniversity of Turku
2023 - 2024
Project Researcher
Work ExperienceMigration Institute of Finland (50%) & Åbo Akademi University (50%), Turku, Finland
2019 - 2023
Doctoral Researcher
Work ExperienceÅbo Akademi University, Turku, Finland
2017 - 2019
Fundraiser
Work ExperienceFinnish Red Cross, Turku, Finland
2011 - 2013
Senior Auditor
Work ExperienceAbrar Andishan Auditing & Financial Services Institute, Tehran, Iran
2007 - 2010
Head of Accounting Department
Work ExperienceBaharjean Textile Company, Sales Head Office, Tehran, Iran
2001 - 2006
Accountant
Work ExperienceNiayesh Shop, Tehran, Iran
2025-2026
Big Data Analytics – Specialisation Studies (30 ECTS)
Specialisation StudiesArcada University of Applied Sciences, Helsinki, Finland
2024 – 2025
International Professional Teacher Education (60 ECTS)
Professional Teacher EducationHäme University of Applied Sciences (HAMK), Finland
2017 - 2024
Ph.D. in Information Studies
EDUCATIONÅbo Akademi University, Turku, Finland
2014 - 2017
M.Sc. in Information & Knowledge Management
EDUCATIONÅbo Akademi University, Turku, Finland
2008- 2010
M.Sc. in Business Administration - Finance
EducationAzad University, Tehran Central Branch, Tehran, Iran
2002- 2007
B.Sc. in Tax Accounting
EducationKharazmi University (School of Economic Science), Tehran, Iran
Senior Researcher
I engage in interdisciplinary research on scientific misinformation, examining how media misrepresentation and retracted articles shape public perceptions and decision-making. My role involves:
✔ Conducting survey-based and media content analysis on science communication and public trust.
✔ Applying NLP, Python (pandas, NumPy, scikit-learn), and SEM to detect patterns in large-scale datasets.
✔ Designing and analyzing public opinion surveys related to trust in scientific information.
✔ Collaborating with researchers across disciplines to produce peer-reviewed articles and public outreach materials.
Project Researcher
I immersed myself in data-driven migration research, analyzing European Social Survey data to understand how trust and information exposure influence European managers’ attitudes toward immigrants. My role involved:
✔ Data processing, cleaning, and visualization using Python, pandas, NumPy, and Matplotlib.
✔ Developing statistical models such as regression analysis and Structural Equation Modelling (SEM) to uncover hidden insights.
✔ Applying machine learning techniques to detect trends in large-scale migration data.
✔ Collaborating with interdisciplinary researchers to translate data insights into impactful policy recommendations.
Doctoral Researcher
During my doctoral research, I delved into the intersection of information science, health behavior, and digital ecosystems. My work focused on understanding how immigrants navigate digital health information landscapes in Nordic countries. Key contributions:
✔ Conducted both qualitative and quantitative research, utilizing NVivo for thematic analysis, SmartPLS for structural equation modeling, and SPSS for statistical testing.
✔ Designed and analyzed large-scale surveys, exploring immigrant health information-seeking behavior.
✔ Lectured in Information Behaviour 1 & 2, mentoring students on digital literacy, data analytics, and health information systems.
Fundraiser
I engaged in humanitarian fundraising efforts, ensuring sustainable financial support for crisis response initiatives. My contributions included:
✔ Securing donor commitments through impactful face-to-face interactions.
✔ Ensuring compliance with data privacy regulations while handling donor information.
Senior Auditor
I navigated the intricate world of financial compliance, auditing, and risk assessment, delivering precise financial evaluations. My key responsibilities:
✔ Conducted financial audits and compliance checks across various industries.
✔ Designed custom financial reporting spreadsheets in Microsoft Excel, improving efficiency and accuracy.
Head of Accounting Department
In this leadership role, I spearheaded the transformation of financial operations by integrating enterprise financial management software. Key achievements:
✔ Managed financial reporting, budgeting, and taxation, ensuring seamless financial operations.
✔ Led a digital transformation project, transitioning operations to Hamkaran System’s enterprise software.
✔ Developed SQL-based custom reports, optimizing data analysis for strategic decision-making.
Accountant
My early career in accounting honed my skills in financial operations, bookkeeping, and data analytics. Key responsibilities:
✔ Managed daily financial transactions, ensuring accuracy in financial reporting.
✔ Designed Excel-based financial tracking tools, improving data-driven decision-making.
Big Data Analytics – Specialisation Studies (30 ECTS)

I’ve built a strong foundation in data-driven decision-making by working with analytics, machine learning, and data engineering across several courses. Through this specialisation, I developed the ability to turn complex data into meaningful insights and practical solutions.
Along the way, I gained experience in:
✔ Introduction to Analytics (5 ECTS) – Learning the fundamentals of data processing, statistical analysis, and how to use data to support decision-making.
✔ Machine Learning for Predictive Problems (5 ECTS) – Building models to forecast trends and make informed predictions based on data.
✔ Visual Analytics (5 ECTS) – Communicating insights clearly through data visualization and interactive dashboards.
✔ Machine Learning for Descriptive Problems (5 ECTS) – Exploring data with unsupervised learning techniques to uncover patterns and relationships.
✔ Cloud Computing and Data Engineering (5 ECTS) – Working with modern data infrastructure and tools to manage, process, and scale data solutions.
✔ Service Design (5 ECTS) – Understanding how to design user-centred services and connect data insights with real-world business needs.
International Professional Teacher Education (60 ECTS)
I embarked on an enriching journey into pedagogical sciences, blending theory with practice to master the art of teaching, guidance, and competency-based learning. This internationally recognized qualification equips me with the skills to teach in vocational institutions and universities of applied sciences, as well as to develop staff training programs in corporate and professional settings.
Through collaborative and diverse learning environments, I am gaining expertise in:
✔ Curriculum planning & educational theory
✔ Teaching in multicultural & digital classrooms
✔ Guidance methods and competency-based assessment
✔ Networking & fostering well-being in educational settings
This program strengthens my ability to develop learning environments that adapt to evolving professional landscapes, ensuring that education remains dynamic and inclusive.
Ph.D. in Information Studies
I immersed myself in the field of Information Studies, delving into the complexities of health information behavior and its influence on immigrant communities in Nordic countries. Through advanced data analytics, mixed-method research, and digital information modeling, I navigated the intricate relationship between trust, cultural adaptation, and digital health literacy, forging a data-driven path to better understand marginalized communities.
M.Sc. in Information & Knowledge Management
I embarked on an intellectual journey into knowledge management, mastering the art of structuring, analyzing, and optimizing information flows in digital and healthcare contexts. With a focus on e-health and digital literacy, I explored how older adults navigate health information ecosystems, forging a connection between user behavior, technology, and healthcare accessibility
M.Sc. in Business Administration - Finance
Immersing myself in the intricate world of financial modeling and investment strategies, I developed expertise in risk assessment, capital markets, and asset pricing theories. Navigating the complexities of systematic and non-systematic risk, I cultivated a data-driven approach to financial decision-making, blending quantitative analysis with economic foresight to assess investment performance.
B.Sc. in Tax Accounting
I delved deep into the fundamentals of accounting and taxation, mastering the principles of financial reporting, tax law, and auditing. Exploring the intricate balance between regulatory compliance and economic efficiency, I developed a strong analytical mindset, navigating the realms of corporate finance, fiscal policy, and strategic financial planning.
- Data Analytics
- Data Science with Pandas
- Data Manipulation with Pandas
- Machine Learning
- MATLAB Programming
- Qualitative Data Analysis
- Internet of Things (IoT)
- Structural Equation Modeling
- SmartPLS Model Creation
Earned the Google Data Analytics Certificate, demonstrating proficiency in data analysis techniques, including data cleaning, visualization, and interpretation using tools like Excel, SQL, and R. This certification enhances my ability to derive actionable insights from complex datasets.
Completed the Intermediate Pandas Python Library for Data Science course, advancing my skills in data manipulation, analysis, and visualization using Pandas. Gained expertise in handling large datasets, performing grouping, merging, reshaping, and advanced indexing. Developed efficiency in time series analysis and data preprocessing for machine learning workflows.
Completed the Pandas Python Library for Beginners in Data Science course, gaining foundational skills in data manipulation and analysis using Python. Learned essential Pandas functions for reading, cleaning, filtering, and summarizing datasets. Developed a strong understanding of data structures like Series and DataFrames, preparing data for further analysis in machine learning and statistical modeling.
Completed an 18-hour hands-on course from the University of Washington with a grade of 95.79%, covering fundamental machine learning concepts. Developed expertise in regression, classification, clustering, retrieval, recommender systems, and deep learning. Applied these techniques to real-world case studies, including predicting house prices, sentiment analysis, and product recommendations. Gained proficiency in using Python for implementing machine learning models and evaluating their performance with relevant error metrics.
Completed the MATLAB Onramp training, gaining foundational skills in MATLAB programming, data visualization, and mathematical computing. Developed expertise in handling matrices and arrays, writing scripts, debugging code, and performing basic numerical analysis. Acquired hands-on experience with MATLAB’s built-in functions for data manipulation and visualization.
Completed NVivo Online Training (Blended Learning) with Alfasoft in collaboration with Åbo Akademi University. Acquired expertise in qualitative data analysis, including thematic coding, content analysis, and data visualization techniques. Developed skills in managing large textual datasets, analyzing qualitative responses, and deriving insights for academic and industry research
Completed a comprehensive introduction to the Internet of Things (IoT), covering key concepts such as systems, information and networks, probability, game theory, and IoT applications. Gained insights into different types of data and their impact on device communication. Developed the ability to identify real-world IoT applications and perform basic system analysis.
Gained expertise in creating advanced path models using SmartPLS, useful in both research and industry decision-making. Learned to analyze how attitudes and subjective norms impact behavioral change. Developed skills in running models across groups (e.g., gender-based analysis) and interpreting results to provide actionable recommendations.
Acquired hands-on experience in building path models using SmartPLS for data-driven decision-making in research and industry. Developed skills in uploading datasets, designing structural models, and executing Partial Least Squares Structural Equation Modeling (PLS-SEM). Gained proficiency in interpreting model outputs to derive meaningful insights and recommendations.
Earned the Google Data Analytics Certificate, demonstrating proficiency in data analysis techniques, including data cleaning, visualization, and interpretation using tools like Excel, SQL, and R. This certification enhances my ability to derive actionable insights from complex datasets.
Completed the Intermediate Pandas Python Library for Data Science course, advancing my skills in data manipulation, analysis, and visualization using Pandas. Gained expertise in handling large datasets, performing grouping, merging, reshaping, and advanced indexing. Developed efficiency in time series analysis and data preprocessing for machine learning workflows.
Completed the Pandas Python Library for Beginners in Data Science course, gaining foundational skills in data manipulation and analysis using Python. Learned essential Pandas functions for reading, cleaning, filtering, and summarizing datasets. Developed a strong understanding of data structures like Series and DataFrames, preparing data for further analysis in machine learning and statistical modeling.
Completed an 18-hour hands-on course from the University of Washington with a grade of 95.79%, covering fundamental machine learning concepts. Developed expertise in regression, classification, clustering, retrieval, recommender systems, and deep learning. Applied these techniques to real-world case studies, including predicting house prices, sentiment analysis, and product recommendations. Gained proficiency in using Python for implementing machine learning models and evaluating their performance with relevant error metrics.
Completed the MATLAB Onramp training, gaining foundational skills in MATLAB programming, data visualization, and mathematical computing. Developed expertise in handling matrices and arrays, writing scripts, debugging code, and performing basic numerical analysis. Acquired hands-on experience with MATLAB’s built-in functions for data manipulation and visualization.
Completed NVivo Online Training (Blended Learning) with Alfasoft in collaboration with Åbo Akademi University. Acquired expertise in qualitative data analysis, including thematic coding, content analysis, and data visualization techniques. Developed skills in managing large textual datasets, analyzing qualitative responses, and deriving insights for academic and industry research
Completed a comprehensive introduction to the Internet of Things (IoT), covering key concepts such as systems, information and networks, probability, game theory, and IoT applications. Gained insights into different types of data and their impact on device communication. Developed the ability to identify real-world IoT applications and perform basic system analysis.
Gained expertise in creating advanced path models using SmartPLS, useful in both research and industry decision-making. Learned to analyze how attitudes and subjective norms impact behavioral change. Developed skills in running models across groups (e.g., gender-based analysis) and interpreting results to provide actionable recommendations.
Acquired hands-on experience in building path models using SmartPLS for data-driven decision-making in research and industry. Developed skills in uploading datasets, designing structural models, and executing Partial Least Squares Structural Equation Modeling (PLS-SEM). Gained proficiency in interpreting model outputs to derive meaningful insights and recommendations.
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