Intervention evaluation
Clinical training cohort · N = 66
Wilcoxon signed-rank on paired pre/post data across five competency dimensions, with Cohen's d. A large, significant improvement, delivered publication-ready.
Independent statistical consulting
Statistics you can defend in review, to a committee, or in the boardroom.
Okanagan, BC · Working with researchers, nonprofits, and organizations across Canada
Tell me your situation▸
"I ran a training and surveyed people before and after. Did it actually work?"
The method I'd reach for
"My two groups look different. Is it real, or just chance?"
The method I'd reach for
"I built a questionnaire. Does it actually measure what I think?"
The method I'd reach for
"We're about to collect data. How many people do I need?"
The method I'd reach for
Not sure where to start?
You don't need to know any statistics, or even what to call your problem. Tell me what you're trying to find out, and I'll point you to where I'd start.
Not on the list? Describe it to me. If I'm not the right fit, I'll say so and point you somewhere better.
What I do
Most analysts hand back numbers. I deliver tables, figures, and plain-language interpretation you can act on and defend, in a manuscript, a board report, or your next decision.
Study & survey design
The right design, sample size, and instruments, chosen before you collect.
Group comparisons & intervention analysis
Pre/post and between-group tests (t-tests, ANOVA, Wilcoxon, Mann–Whitney) with effect sizes, not just p-values.
SEM & psychometric analysis
Measurement models, reliability and validity, and how scales and constructs behave across groups.
Regression & predictive modeling
Linear, logistic, and mixed/multilevel models for nested or repeated-measures data.
Deep statistical analysis
The heavy lifting behind the visuals: robust methods, assumption checks, and messy or non-standard data handled honestly.
Data pipelines & automation
Clean data in, refreshed reports out. Pipelines and backend infrastructure that keep working long after the project ends.
Selected work (de-identified)
Client work is confidential, described here by method and outcome only.
Structural equation modeling
Multi-group wellbeing survey
Built the SEM from the ground up: defined the latent constructs, confirmed model fit, and compared constructs across population subgroups, write-up ready.
Read the case study →Survey design
Community needs assessment
Needs-assessment survey on sensitive topics: mental health, harm, discrimination, and suicidality. Validated scales and trauma-informed safety language that keep participants in control.
"Your wellbeing matters. You can skip any question or stop at any time."
How it works
We talk, free of charge
A short call about your question and your data.
You get an honest read
What the data can and can't support. If simpler is right, I'll say so.
Your data stays protected
De-identified wherever possible, under a confidentiality agreement.
You get something usable
Analysis, tables, figures, and an interpretation you can defend.
Data confidentiality
Research data is sensitive, and I treat it that way: a signed confidentiality agreement before I see anything, de-identified or aggregated data wherever the analysis allows, and secure handling only for the agreed purpose. If your work involves a research ethics board, I'll work within its requirements.
Meet Dhruv
I'm a data and statistical consultant based in Kelowna, BC. Alongside running DS Statistics, I build analytics dashboards, forecasting and projection models, risk assessments, and automated reporting pipelines for Interior Health, a BC health authority. That work has cut multi-hour reports to minutes and driven a live operations dashboard used during the 2023 wildfire response.
I built DS Statistics to help BC non-profits, local governments, and public bodies skip the headache of manual spreadsheet management, and to turn raw metrics into automated, statistically validated findings that funders and auditors can trust. I bring the same rigor to researchers and graduate students, from study design to the final write-up.
Python · R · SQL · Power BI
Testimonials
What researchers say
Dhruv helped refining our needs assessment questionnaire to ensure it was properly structured for data analysis. He also conducted the initial pre and post-training analysis for our Community University Engagement Support pilot project, helping us understand the impact our education modules had on nursing students. I'd highly recommend DS Statistics to any researcher looking for reliable, hands-on statistical support.
Dhruv was very helpful with my SEM analysis. He helped define the equations, ran the model, and was always flexible when changes came up. What I appreciated most was that he translated everything into plain English and took the time to explain the logic of what was actually happening in the backend, rather than just handing over numbers.
Have a study, a dataset, or a method question?
Tell me what you're working on and I'll tell you honestly how I can help.
The first call is free, with no obligation after it.