Hey, I'm Mohammad Reza Sadeghian
Data scientist transforming complex data into actionable insights using Python, R, and SQL. Specializing in statistical modeling and machine learning.
Who I am
I am a Master's student in Applied and Computational Mathematics at Simon Fraser University, building upon my Bachelor's degree in Computer Engineering from Amirkabir University.
My focus lies in data science, leveraging Python, R, and SQL to develop robust statistical models and machine learning solutions. I enjoy turning raw data into clear, actionable insights through analysis and visualization.
With experience in quantitative research, data analysis pipelines, and programming, I'm passionate about applying computational techniques to solve complex problems. I also have experience as a Teaching Assistant, helping students grasp core concepts.
What I do
Data Analysis & Modeling
Applying statistical inference, hypothesis testing, and regression analysis (Linear, Logistic, GLM) using Python (Pandas, Statsmodels) and R.
Machine Learning
Developing predictive models (Classification, Clustering, Neural Networks, NLP) and building data pipelines (ETL/ELT, Wrangling).
Visualization & Tools
Creating insightful dashboards (Tableau, Power BI) and utilizing platforms like Azure, Databricks, PySpark, and Git.
Projects
Multi-City Public Transit Analysis
Built automated Python pipeline for transit data collection (PostgreSQL/PostGIS), KPI calculation (SQL), and visualization (Tableau). [cite: 48, 49, 51]
Optimized Model Compression
Engineered PyTorch pipeline for transformer compression using quantization & layer filtering. Innovated a DWT method achieving 5x compression. [cite: 62, 63, 64]
Parliamentary Transcripts Analysis
Engineered a dual-LLM pipeline for transcript analysis and built an ideological vectorization framework using survey and transcript data. [cite: 21, 22]