About

Data Scientist and Data Engineer with expertise in machine learning, cloud-based data solutions, and scalable ETL pipelines. Skilled in predictive modeling, statistical analysis, and automation workflows. Experienced in Azure Databricks, Power BI, DAX, and SQL-based analytics. Additionally, proficient in 3D design, 3D printing, and rapid prototyping for developing technical solutions.

Basic Information
Age:
28
Phone:
+358 41-473-6098
Address:
University of Turku, Turku, Finland
Language:
Persian: Native
English: Fluent (TOEFL: 105/120)
Finnish: Basic
Work Experience

06/2023 - Present

University of Turku

Data Scientist

- Developed scalable data pipelines and ETL workflows using Python, Apache Airflow, and SQL, improving processing efficiency by 30%.

- Implemented AWS cloud-based solutions, optimizing data storage, processing, and model deployment.

- Automated data validation workflows, reducing manual intervention by 60%.

- Built predictive models for analyzing time-series data, improving forecasting accuracy.

06/2022 - 05/2023

University of Turku

Data Scientist

- Developed machine learning algorithms for anomaly detection and time-series forecasting using PyTorch and TensorFlow.

- Conducted feature extraction and preprocessing for large-scale datasets, reducing error rates by 10%.

- Published research in IEEE JBHI and Computing in Cardiology, contributing to AI-driven medical advancements.

- Designed 3D models and CAD prototypes for research and product development.

Teaching Experience

01/2024 - 05/2024

Medical Instrumentation Course

University of Turku

Teaching Assistant

- ECG and PPG circuit simulation with LT Spice software and hands-on lab implementation.

- The course discusses about basics of different sensor types and their measurement pricinples, measurement of different medically relevant signals and embedded medical systems.

Education

08/2023 - Present

Doctor of Technology

Computer Science - Health Technology

University of Turku

Thesis: Unobtrusive Monitoring for Cardiovascular Disease using ML.

Supervisors: Assistant Prof. Matti Kaisti, Assistant Prof. Antti Airola

Core Focus: Scalable data pipelines, multimodal clinical data analysis, and AI-driven healthcare solutions.

09/2018 - 02/2022

Master of Science
Biomedical Engineering - Bioelectric

Iran University of Science and Technology

Thesis: Despeckling of Medical Ultrasound Images using Deep Learning

Supervisor: Associate Professor. Hamid Behnam

GPA: 4/4

Core Focus: Medical image processing, deep learning, and computer vision techniques with applications in diagnostics.

Relevant Coursework: Deep Learning, Medical Imaging Processing

09/2013 - 08/2018

Bachelor of Science
Electrical Engineering - Electronics

Bu-Ali Sina University

Thesis: Application of FibroScan® device in liver diseases

Supervisor: Professor. Soheil Ganjefar

GPA: 3.5/4

Core Focus: Signal processing, embedded systems, and microcontroller programming, Robotics.

Relevant Coursework: Control Systems, Electronic Circuits, Digital Systems, Embedded Systems, Microprocessors.

Publication
2025
Journal
2024
Confrerence
Skills
Programming Languages
Python
95%
MATLAB
90%
SQL
60%
Deep Learning Frameworks
Keras
90%
TensorFlow
80%
PyTorch
70%
Cloud and Tools
AWS
60%
Azure
50%
Databricks
50%
Apache Airflow
80%
Apache Spark
60%
GitHub
70%
Linux
70%
Cluster Computing (CSC-PUHTI)
70%
Data Science
Data pipeline management (ETL processes)
70%
Data cleaning and preprocessing
80%
Data analysis and visualization
90%
ML model development and deployment
80%
Software
Onshape
75%
AutoCAD
70%
Altium
70%
Proteus Design Suite
70%
Arduino IDE
90%
Code Vision AVR
90%
Markup Language
LATEX
80%
MS Word
80%
HTML/CSS
60%
Contact Me
Feel free to contact me

Address

Univ. of Turku, Turku, Finland

Email

sepehr.seifizarei@utu.fi