I can help you conduct statistical analysis and reporting using Matlab
- 0
- (0)
Project Details
Why Hire Me?
📱Click to Connect on Whatsapp to Discuss Your Project
I bring over 7 years of experience in applying MATLAB for statistical analysis, modeling, and visualization across technical and research domains.
-
Skilled in MATLAB's Statistics and Machine Learning Toolbox
-
Experienced with multivariate statistics, hypothesis testing, time-series forecasting, and custom algorithm development
-
Adept at cleaning, preprocessing, and visualizing complex datasets
-
Ability to produce readable, insight-driven reports combining code, output, and charts
-
Suited for academic, engineering, and applied business contexts
What I Need to Start Your Work
-
Project Details
-
Clear description of objectives, questions, or hypotheses
-
Domain context (e.g., engineering, academic research, finance)
-
-
Data Files
-
Dataset(s) in
.mat,.csv, or Excel format -
Explanation of variables and any preprocessing already done
-
-
Specific Requirements
-
Type of analysis or modeling (e.g., regression, ANOVA, classification)
-
Required MATLAB tools or custom scripts (if any)
-
-
Reporting Instructions
-
Output format (PDF, MATLAB Live Script, Word, etc.)
-
Required plots, tables, or formatting standards (especially for publication)
-
-
Communication Preferences
-
Preferred contact method and update frequency
-
Project deadline or milestone expectations
-
Portfolio
MATLAB Statistical Tools Improved Production Yield by 17%
Analyzed defect rates using MATLAB to track manufacturing consistency and improve yield. Control charts and summary stats revealed process gaps and guided quality improvements.
Used MATLAB Regression to Predict Loan Risk More Accurately
Developed a multiple regression model in MATLAB to forecast borrower default probability. Statistical testing and confidence intervals enhanced risk model credibility for lenders.
MATLAB Forecasting Helped Predict Hospital Demand With 92% Accuracy
Applied MATLAB’s ARIMA and seasonal decomposition to predict hospital admissions. Time series modeling enabled better resource planning during high-demand periods.
Process






