Matin Nemati

Professional Summary

5+ years of experience in education, including teaching, academic advising, mentoring, and educational management.

1+ year of academic experience as a data scientist and data analyst.

Studied two fields: Electrical Engineering (Neuroscience) and Computer Science (Data Science & AI). Completed several graduate-level courses alongside the undergraduate curriculum, based on academic standing.

Interested in data analysis roles across different fields, with a focus on quality and precision of work.

Career Interests

Data Scientist, Data Analyst, Business Analyst, Financial Analyst, Research Assistant

Education
Isfahan University of Technology (IUT)
B.Sc. in Electrical Engineering (Bioelectricity & Neuroscience)
Minor in Computer Science
GPA: 3.35 / 4.00 overall · 18.02 / 20 final year · 18.43 / 20 major
Skills
ProgrammingPython (NumPy, Pandas, Matplotlib, OOP), MATLAB, R
Data AnalysisStatistical Analysis (Hypothesis Testing, ANOVA, Regression, T-Test), Data Cleaning, EDA
Machine LearningSupervised & Unsupervised Learning, Neural Networks, Regularization
DatabasesSQL (T-SQL), Data Warehouse
Business IntelligencePower BI
Signal ProcessingDigital Signal Processing, EEG, ECG, EMG, Biomedical Signals
NeuroscienceNeural Modeling, Systems and Computational Neuroscience
SimulationPSpice, Proteus
ToolsGit, Microsoft Office Suite, LaTeX
AI ToolsHands-on experience with a range of AI tools, including LLM assistants, AI coding assistants, and AI-powered research and data analysis tools
Soft Skills

ISTJ personality, with interests in mountaineering, volleyball, and exploring deep and real-world problems. Also passionate about teaching and knowledge sharing.

Professional & Teaching Experience
Data Scientist & Data Analyst (Academic)
Academic experience outside industry
Applied statistical analysis, machine learning, and signal processing to real datasets, supported by a strong mathematical background. This work includes the projects listed under Research Experience & Projects.
Mathematics, Physics, Python & Artificial Intelligence Instructor
Taught and mentored more than 100 students while designing structured study plans and problem-solving strategies.
Taught artificial intelligence courses at training institutes and centers (Tehran).
Programming & Artificial Intelligence Instructor
Technical and vocational training institutes — Tehran
Teaching programming and artificial intelligence courses.
Educational Team Lead & Academic Advisor
Started as an academic advisor at Heyva Group in 2021, and later led multiple educational teams between 2023 and 2025, providing academic planning and student guidance.
Teaching Assistant (Python) & Programming Mentor
Isfahan University of Technology
Teaching assistant for undergraduate students, mentoring in programming, debugging, and problem-solving.
Certifications, Academic Background & Selected Coursework

For detailed information about my academic background, academic transcripts, certifications, and completed coursework, please visit my Academic Portfolio.

Research Interests
Research Experience & Projects
Quantum Phenomena in Biological Systems: Implications for Brain Function
Isfahan University of Technology
Conducted a systematic and critical review of theoretical models and experimental evidence investigating the possible role of quantum phenomena in the brain and nervous system, with emphasis on their biophysical feasibility and functional implications.
Human Activity Recognition
Machine Learning course
Applied dimensionality reduction and unsupervised clustering (PCA, K-Means, GMM) to human activity data, then compared six classifiers tuned with grid search and cross-validation.
Tools: Jupyter, scikit-learn, pandas, matplotlib, seaborn
Sleep and Autonomic Nervous System Activity (HRV)
Statistical Analysis of Biomedical Data course
Modeled the relationship between sleep and autonomic activity using multiple linear regression with backward selection, assumption checking, and missing-data handling on multimodal data with mixed variable types.
Tools: R, tidyverse, car, lmtest
Speaker Recognition
Digital Signal Processing Lab
Built a speaker recognition pipeline with speech preprocessing, MFCC and pitch features, FFT and spectrogram analysis, and KNN and SVM classification.
Tools: MATLAB, Audio Toolbox, Signal Processing Toolbox, Statistics and Machine Learning Toolbox
EMG Signal Classification: Wrist vs. Arm
Biosignal Lab
Classified EMG signals using signal filtering, feature extraction, and a KNN classifier implemented from scratch, evaluated with cross-validation.
Tools: MATLAB, Signal Processing Toolbox, Statistics and Machine Learning Toolbox
Financial Tracker
Fundamentals of Computer and Programming course
Developed a desktop financial tracking application with a Tkinter GUI, calendar-based date input, file handling, input validation, and exception handling.
Tools: Tkinter, tkcalendar, datetime

Selected projects only. Code and the full list are available in the GitHub repository.

References
Dr. Sayed Jalal Zahabi
Assistant Professor, Department of Electrical and Computer Engineering — Isfahan University of Technology
Instructor of most of my undergraduate courses.
Links: Google Scholar, Faculty Profile · Email: zahabi@iut.ac.ir
Dr. Zaker Hossein Firouzeh
Assistant Professor, Department of Electrical and Computer Engineering — Isfahan University of Technology
Supervisor of my B.Sc. thesis.
Links: Google Scholar, Faculty Profile · Email: zhfirouzeh@iut.ac.ir