About

Hello! I am Mina MozazamiGoudarzi. Data Analyst and Business Intelligence Developer with experience in data validation, quality monitoring, and reporting. Skilled in Power BI, Python, and data visualization, with a strong background in analyzing trends, improving data integrity, and supporting data-driven decision-making.

Basic Information
Age:
29
Address:
Finland
Language:
Finnish: Fluent (Yki Test: 3/4)
English: Fluent
Education

09/2019 - 02/2023

Master of Science
Biomedical Engineering - Bioelectric

Khajeh Nasir Toosi University of Technology

Thesis: Sleep Apnea Classification using Deep Learning Algorithm
Supervisor: Associate Professor. Maryam Mohebbi

GPA: 3.27/4

Core Focus: Advanced signal processing, deep learning, and predictive modeling techniques, with practical applications in healthcare technologies.

Honors: Top 5% in Master’s entrance exam; National Full Scholarship.

Relevant Coursework: Deep Learning, Digital Signal Processing

09/2014 - 09/2018

Bachelor of Science
Electrical Engineering - Electronics

Bu-Ali Sina University

Thesis: Smart Cards
Supervisor: Professor. Soheil Ganjefar

GPA: 3.1/4

Core Focus: Fundamental analysis of electronic devices, system design, and embedded systems.

Relevant Coursework: Digital Systems, Electric Circuits, Microcontrollers

Work Experience

Aug 2024 - Present

Independent Projects

Power BI and Data Analytics Practice
  • Designed and developed personal Power BI dashboards using real-world public datasets (e.g., sales, healthcare).
  • Applied DAX to create dynamic KPIs, time-based measures, and user-interactive reports.
  • Practiced SQL for data cleaning, joining, and aggregating data from multiple sources.
  • Created clear visual and written summaries to communicate insights and support data-driven decisions.

Jan 2024 - May 2024

Benete Oy
Data analyst Intern
  • Analyzed sensor data in healthcare environments, identifying trends that improved operational efficiency by 15%.
  • Developed Python visualizations to assist care staff with data-driven patient monitoring and decision-making.
  • Handled missing data issues, improved data integrity, and enhanced reporting reliability by ensuring 99% data accuracy.

June 2023 - July 2023

University of Turku
Data analyst and Research Intern
  • Processed and analyzed EEG datasets, supporting research that improved clinical decision-making accuracy.
  • Collaborated with a team to extract key features from datasets for the "Computing in Cardiology 2023" challenge.
  • Applied signal processing techniques to large datasets, reducing noise by 10% and improving data reliability.
Skills
Programming Languages
Python
70%
SQL
60%
MATLAB
60%
Libraries and Frameworks
Pandas
80%
Scikit-learn
70%
Matplotlib
80%
Seaborn
60%
Keras
60%
TensorFlow
50%
Data Science
Microsoft Power BI
70%
DAX
50%
Data Analytics
80%
Data Visualization
80%
Contact Me
Feel free to contact me

Address

Finland

Email

Moazami.Miina@gmail.com