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I will do quantile regression and advanced statistical modeling
Freelance Data Analyst
As a passionate Data Science & Analytics graduate, I specialize in converting complex datasets into meaningful business and policy insights. My recent project showcases my expertise in Python, data vi...
About this Gig
I will perform professional Quantile Regression, Residual Analysis, Mediation Analysis, and other Advanced Statistical Modeling for your research or business data.
With a strong background in Statistics, I specialize in providing deep statistical insights using modern techniques.
What You Will Get:
- Comprehensive data preparation and exploratory analysis
- Quantile Regression at multiple levels (0.1, 0.25, 0.5, 0.75, 0.9, etc.)
- Residual Analysis
- Mediation Analysis
- Model diagnostics and validation
- Comparison with OLS regression
- High-quality visualizations and coefficient plots
- Detailed, publication-quality report with clear interpretation
- Complete source code (R/Python)
Ideal For:
- Economic and financial research
- Social science and policy studies
- Academic thesis and dissertations
- Business analytics and decision making
- Wage gap, inequality, and risk analysis
Tools & Techniques:
- R (quantreg, mediation, lavaan packages)
- Python (statsmodels, pingouin, sklearn)
- SPSS / Stata (if required)
Please message me with your dataset and research objectives before placing the order so I can assess the data and suggest the most suitable approach.
Looking forward to supporting your research or project!
Programming language:
Python
•
R
•
SPSS
Technology:
Google Analytics
•
Google Sheets
•
Power BI
•
SPSS
Expertise:
Statistics
•
Monte Carlo simulation
•
Regression testing
Tools:
EViews
•
Minitab
•
RStudio
•
Stata
Other Data Analytics Services I Offer
FAQ
What is Quantile Regression and why should I use it?
Quantile Regression is an advanced statistical technique that analyzes the relationship between variables at different points (quantiles) of the distribution. It is more robust than traditional OLS regression, especially when dealing with outliers or when you want to understand effects.
What data do I need to provide?
Please share your dataset in Excel, CSV, or any other format along with your research objectives or specific questions you want to answer.
Which tools do you use?
I primarily use R (quantreg, mediation packages) and Python (statsmodels). I can also work in SPSS or Stata if required.
Can you help with academic research or thesis?
Yes, I have strong experience in academic statistical analysis and can provide publication-quality results with proper methodology, diagnostics, and interpretation.
What if my data has outliers or missing values?
I handle outliers and missing values using appropriate statistical methods and clearly explain the approach used in the report.
