• Architect databases, and monitor data acquisition systems
• Perform statistical testings, data analysis and research reports
• Construct data pipelines and ELT processes
• Technologies: Python, R, SQL

• Develop data pipelines for data science and machine learning
• Architect databases and data management processes for business intelligence
• Technologies: Spark, Dask, Scikit-learn, TensorFlow, Azure, mySQL, MongoDB
• Portfolio: Machine Learning, Data Science and Data Engineering

• Codify IT-based human relationships and business processes
• Design and supervise organizational systems of collecting, processing, storing and distributing information
• Achieved stable organizational annual growth of 15% with teams of 10 members

• Designed an ELT process that supports scalable and efficient data storage and analysis
• Database management and data visualization via reports coded in Python and R
• Technologies: Python, R, SQLite
• Project link: sample final report in Python

• Implemented university database structure that supports course catalogs, course registration, student information system, and room registration
• Constructed class UML and relational models
• Technologies: Python, SQLite
• Project link: university DB setup

• Developed a lunch app that serves basic needs of showing business info, food menu and allergy info at Fazer A-Bloc and Sodexo Mechanical Engineering restaurant, in object-oriented and functional programming styles with Scala and JSON text files
• Technologies: Scala (OOP and data pipeline)

• Performed financial analysis and calculation of M&A models, metrics, and forecasts of important business synergies
• Earned 2nd place in the project competition and laid a critical foundation for one Hanken School of Business student's M.A. thesis
• Technologies: SPSS (statistics modeling) and Excel (database)

• Modeled and analyzed contextual data in videos, audio, text and number formats from over 300 customers
• Received 5/5 thesis grade and critical recognition from the school and all companies participated
• Technologies: NVivo (data analysis), SSMS

Thesis: Service design in hospitality industry in Finland employing QFD model
Grade: 5/5

• Data Scientist In Python - DataQuest
• Machine Learning - Stanford University & Coursera
• Salesforce Administration program - Salesforce
• SAP ERP Integration of Business Processes - Haaga Helia UAS

Scala, Python, R, SQL

Numpy, Pandas

Matplotlib, Seaborn, Plotly

Spark, Dask, PostgreSQL, MongoDB, SSMS, SSIS

Scikit-learn, TensorFlow

AWS (Date Engineer role)

SAP, Salesforce, Qlik, PowerBI, Tableau