I help students, researchers and professionals solve statistical and data analysis problems across dissertations, theses, research projects and quantitative studies.
My work focuses on helping you understand what analysis to use, why it is appropriate, how to perform it, and how to interpret the results correctly.
If you are working on a dissertation and are unsure about your statistical methodology, struggling with your dataset, confused by software output, or trying to determine whether an AI-generated analysis is actually appropriate, you can discuss your research problem with me directly.
Need help with your dissertation?
WhatsApp: +91 93025 51871
What I Help With
I provide one-to-one guidance and statistical consulting for quantitative research problems, including:
- Selecting appropriate statistical tests
- Research methodology and statistical design
- Data cleaning and preparation
- Exploratory data analysis
- Hypothesis testing
- Regression analysis
- Correlation analysis
- ANOVA and ANCOVA
- Logistic regression
- Panel data analysis
- Econometric analysis
- Time-series analysis
- Forecasting
- Non-parametric tests
- Survey data analysis
- Reliability and validity analysis
- Model diagnostics and assumption testing
- Statistical interpretation
- Effect size and practical significance
- Data visualisation
- Research results interpretation
- Dissertation results chapters
- Statistical tables and figures
- Viva preparation for quantitative research
The objective is not simply to produce an output. It is to help you understand the statistical reasoning behind your analysis so that you can explain and defend your work.
Statistical Software I Work With
R
Support with statistical analysis, data preparation, visualisation, modelling and research workflows in R.
Stata
Support with econometrics, regression, panel data, statistical testing, diagnostics and quantitative research workflows.
SPSS
Support with statistical testing, regression, ANOVA, survey analysis, reliability analysis and interpretation of SPSS output.
Python
Support with data preparation, statistical analysis, modelling, visualisation and quantitative research workflows.
Excel
Support with data preparation, statistical analysis, modelling and research-oriented calculations.
Power BI & Tableau
Support with transforming research and business datasets into clear dashboards and visual analyses.
Dissertation & Research Support
A dissertation often becomes difficult at the point where the research question has to become a statistical analysis.
I can help you work through questions such as:
“Which statistical test should I use?”
We can examine your research question, variables, study design and assumptions before deciding on an appropriate method.
“Is my statistical analysis correct?”
If you already have an analysis, I can review the methodology, statistical procedure, assumptions, results and interpretation.
“I have SPSS/R/Stata output, but I don’t understand it.”
We can work through the output and identify what the statistics mean in the context of your research question.
“ChatGPT generated my statistical analysis. Can I trust it?”
AI can generate statistical code quickly, but generated code does not automatically mean that the methodology is appropriate.
I can help you review the statistical reasoning, methodology, assumptions, results and interpretation behind an AI-assisted analysis.
“How do I explain my results in my dissertation?”
I can help you understand what your statistical results actually mean and how to communicate them accurately in your research.
Quantitative Research Areas
My consulting and analytical experience covers a range of quantitative research and applied analytics problems, including:
- Econometrics
- Marketing analytics
- Financial analysis
- Human resource analytics
- Operations analytics
- Survey research
- Clinical and healthcare data analysis
- Forecasting
- Business analytics
- Customer analytics
- Quantitative research
My professional project work has included econometric analysis, marketing analytics, HR analytics, financial modelling, clinical trials, forecasting and data scraping, alongside dashboarding and broader data analysis.
Experience With Real-World Data
Since 2018, I have worked as an independent data consultant across academic and industry projects.
My work has included survey analysis, data modelling, dashboard development, financial research systems, customer analytics, optimisation, forecasting, statistical modelling and machine learning.
Examples include analysing survey data to investigate relationships between comorbidity and mental health, developing analytical models for customer conversion, analysing e-commerce returns, and developing statistical and simulation models for operational decision-making.
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Areas of Project Experience
- Econometric Analytics
- Tableau Dashboarding
- Marketing Analytics
- HR Analytics
- Financial Modelling
- Clinical Research
- Forecasting
- Data Scraping
How I Work With Students
My approach is based on your specific research problem rather than a fixed set of lessons.
A typical session can involve:
1. Understand the research
We start with your research question, hypotheses, variables and study design.
2. Examine the data
We look at the structure, variables, coding, missing values and other relevant characteristics of your dataset.
3. Select the methodology
We identify an appropriate statistical approach based on the research design and data.
4. Perform the analysis
I guide you through the analysis using the software relevant to your project.
5. Interpret the results
We connect the statistical output back to your research question.
6. Prepare you to explain your analysis
The aim is for you to understand what you did and why you did it.
Already Used AI for Your Dissertation?
That’s okay.
Many students now use ChatGPT and other AI tools to generate statistical code, suggest tests or interpret results.
The problem is that an AI-generated analysis can still contain methodological mistakes.
If you already have AI-generated:
- Python code
- R code
- Stata code
- SPSS procedures
- Statistical interpretations
- Regression models
- Hypothesis tests
- Research methodology suggestions
I can help you critically review the analysis and understand whether it makes statistical sense.
Bring the research question, dataset, code or output and we can examine it together.
Who I Work With
I work with students and researchers at different stages of quantitative research, including:
- PhD researchers
- Master’s students
- Dissertation students
- Thesis researchers
- Academic researchers
- Students learning statistical software
- Researchers working with their own datasets
Support can be useful whether you are at the beginning of your research or already have statistical output that you need to understand.
Why Work With Siddharth?
Statistical software can tell you how to run a procedure.
The harder question is often:
“Is this the right procedure for my research?”
My work combines statistics, data analysis, research methodology and practical experience with real datasets.
That means the discussion can go beyond software instructions and focus on the actual research problem.
Whether you are working with SPSS, R, Stata, Python or another analytical workflow, the goal is the same:
Understand the data. Choose appropriate methods. Analyse the data correctly. Interpret the results clearly.
Connect With Siddharth
Have a dissertation, thesis or research project that involves statistics or quantitative data?
Send me a message with:
- Your research topic
- Your research question
- Your dataset, if available
- The statistical problem you are facing
- The software you are using
+91 93025 51871
Siddharth Gupta — Independent Data Consultant
Statssy
For statistics tutoring, dissertation statistics, data analysis and research support:
Frequently Asked Questions
Can you help me choose a statistical test for my dissertation?
Yes. The appropriate test depends on your research question, variables, study design, assumptions and data. We can examine these factors before selecting a method.
Can you help with SPSS dissertation analysis?
Yes. I can guide you through statistical analysis in SPSS and help you understand and interpret the output.
Can you help with Stata for a PhD?
Yes. Stata can be used for a wide range of quantitative research and econometric methods, including regression and panel data analysis.
Can you review statistical analysis generated by ChatGPT?
Yes. AI-generated code and statistical recommendations can be reviewed for methodology, assumptions, implementation and interpretation.
Can you help me interpret my dissertation results?
Yes. We can work through your statistical output and connect the results to your research questions and hypotheses.
Do you write dissertations?
No. I provide statistical consulting, tutoring, methodology guidance, analysis support and interpretation assistance rather than completing assessed academic work.
How can I contact you?
The fastest way is WhatsApp:
+91 93025 51871
You can also connect with me on LinkedIn.