Morteza Shiripour

AI Specialist @ Häme University of Applied Sciences, HAMK

About

As a Data Scientist, I focus on turning raw data into useful insights that guide strategic decisions. With expertise in statistical analysis, machine learning, and developing algorithms, I specialize in predicting trends and improving processes across various industries. Proficient in Python, Pytorch, Sklearn, and MLflow, I use these tools to solve complex business problems and deliver measurable results. I'm committed to ongoing learning, teamwork, and using my analytical skills to drive innovation and achieve meaningful outcomes. Let's connect and explore potential collaborations!

Country

Finland

City

Espoo

Industry

Research

Skill

Flask, AWS SageMaker, Dask, MongoDB, Deep Learning, PyTorch, Scikit-Learn, Python, XGBoost, NumPy, Amazon Web Services (AWS), Data Science, Teamwork, Interpersonal Communication, Problem Solving, Time Management, Critical Thinking, Interdisciplinary Collaboration, Attention to Detail, HTML

Experience

AI Specialist

Häme University of Applied Sciences, HAMK

2025-7 - Present · 1 yr 3 mos

AI Research Scientist

Dispelix

2022-6 - 2025-5 · 3 yrs

Espoo, Uusimaa, Finland

• Built a web application for collecting and processing data • Developed a regression model for S-Matrix prediction • Designed models to predict analyzer outputs from annotated data in user studies • Active Learning Framework for Efficient Sampling

Doctoral Student

Aalto University

2018-6 - 2022-5 · 4 yrs

Helsinki Area, Finland

Modeling how different user groups perceive webpage aesthetics via deep learning - Developed a convolutional neural network and transfer learning for prediction - Trained on 418 webpage screenshots having 771k aesthetic scores from 32k users - Results submitted to International Journal of Human–Computer Interaction - Technologies: Python, TensorFlow, Pandas, NumPy Multi-objective graphical layout generation - Proposed and implemented a metaheuristic algorithm - Results published at Proceedings of the ACM on Human-Computer Interaction - Technologies: Python, NumPy, DEAP, GurobiPy

Research Assistant

Aalto University

2017-3 - 2018-5 · 1 yr 3 mos

Data Scientist & Technical Consultant

Oone Pooya Civil & Construction Development Company

2014-1 - 2017-2 · 3 yrs 2 mos

Tehran, Iran

- Conducted feasibility study for several shopping centers - Formulated regression models and neural networks to price prediction - Designed and implemented different clustering methods for market segmentation

Education

Aalto University

Human Computer Interaction

2017 - 2022 · 5 yrs

University of Tehran

Industrial Engineering

2011 - 2014 · 3 yrs

Thesis Title: “A new optimization model for power generation expansion planning under uncertainty conditions and environmental considerations” Summary of thesis: - Some mathematical models were suggested for power generation expansion planning. - Financial concerns and environmental issues were included in the model. - Developed a modified Benders Decomposition algorithm. - Proposed a Valid Inequality Cut to restrict Master Problem.