Think Data Solution

05/06/2026

Do you want to learn Exploratory Data Analysis (EDA) using R?

We have developed comprehensive yet easy-to-follow notes using R Markdown, designed to make learning data analysis simple, practical, and engaging. These notes cover the fundamentals of EDA with real datasets, visualizations, statistical summaries, and reproducible reporting techniques in R.

Whether you are a beginner, student, researcher, or data enthusiast, these notes will help you build a strong foundation in data exploration and analysis using modern data science tools.

Start your data analytics journey today and discover how to transform raw data into meaningful insights with R!

Here you go

https://rpubs.com/Hom/ExploratoryDataAnalysis

03/06/2026

📊 Turning Data into Insights, Not Assumptions

Hom Nath Chalise Hom Nath Dhungana Laxmi Prasad Sapkota

At Think Data Solution, we believe that public policies should be examined through evidence, statistics, and scientific reasoning. While governments often make decisions based on multiple competing priorities, not every potential impact can be fully explored beforehand.

This is where data science can help.

Dr. Hom Nath Dhungana has recently published a statistical analysis examining Nepal's new 5% VAT on household electricity consumption. Using Monte Carlo simulation, probability distributions, inequality measures, and data-driven modelling, the report explores:

✅ Expected household burden
✅ Potential government revenue generation
✅ Distributional equity and fairness
✅ Uncertainty and risk assessment
✅ Impacts across different electricity consumption levels

The purpose of this report is not to support or oppose any policy. Rather, it demonstrates how statistical thinking, Monte Carlo simulation, and basic quantitative models can help us better understand the possible consequences of policy decisions.

We invite researchers, students, policymakers, and the general public to read the report and share their thoughts.

Your feedback is highly valued.

📧 [email protected]

At Think Data Solution, our mission is simple:

"Transforming Data into Meaningful Insights."

Because sometimes a different lens—a statistical lens—reveals a different story.

Do you want to read a full story?

Click the full link

https://rpubs.com/Hom/1438061

Conclusion is
This Monte Carlo assessment shows that Nepal’s 5% electricity VAT may generate meaningful fiscal revenue, but it also creates important distributional and behavioural questions. The policy is statistically progressive in terms of electricity use, because low-use households pay little or nothing. However, it may be policy-sensitive because higher electricity costs can reduce incentives for electric cooking, appliance adoption, and clean-energy transition.

A more balanced approach would be to retain the basic exemption, apply gradual slabs, monitor seasonal burden, and transparently reinvest VAT revenue into transmission, distribution, transformer upgrades, and household electrification support.

24/05/2026

We are proud to share that one of our senior team members, Dr. Hom Nath Dhungana, presented two research papers in collaboration with his co-authors at the 4th International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG), held at the University of New South Wales (UNSW), Sydney, Australia.

Dr Hom also delivered a keynote speech on “Hidden cost of AI: Balancing Artificial Intelligence and Human Intelligence for the future of Society”

During the conference, Dr. Hom was also honoured with a Research Excellence Award in recognition of his outstanding and continuing contributions to interdisciplinary and translational research.
Congratulations to Dr. Hom and his collaborators on this remarkable achievement and international recognition.

Great achievement for the team and Think Data Solution family.

01/02/2026

Dear all,

We have noticed that some Nepali news channels have incorrectly interpreted our recent post regarding a statistical model illustrating vote dynamics in Jhapa–5. We would like to make the following clarification clear and unambiguous.

We do not conduct election predictions, opinion surveys, or election management activities for any political party or candidate.

The model shared online was presented purely for academic and educational purposes, to demonstrate how mathematical and statistical models can be used to study electoral dynamics. Like all models, it operates under specific assumptions and limitations related to data quality, parameter choices, and model structure.

At no point did we, or I, claim that B***n will win in Jhapa–5.

The simulated vote dynamics shown were generated using a softmax-based modelling framework, applied to publicly available social media signals, solely to explore hypothetical scenarios under current observable conditions. The intent was to explain how a party could win in Jhapa–5 and what conditions would need to be met, not to assert that any particular outcome will occur.

Any interpretation of this work as a prediction, survey result, or political endorsement is incorrect.

We request media outlets and commentators to report responsibly and to consult us directly if clarification is required before drawing conclusions.

Thank you for your understanding.

20/04/2025

Research update
********************

The Think Data Solution is happy to update you all that our new research, "A systematic review and Meta-Analysis of Tuberculosis dynamics", is registered and published at the International Prospective Register of Systematic Reviews (PROSPERO).

link is

PROSPERO

07/07/2024

Think Data Solution is a pioneer research consulting company that has operations in various
locations in multiple countries. We provide comprehensive statistical analysis tailored for
individual researchers, from data collection to interpretation, ensuring accurate and reliable
results. We perform comprehensive statistical analysis and research support to uncover
meaningful insights and support effective decision-making.
The company is looking for some highly motivated skilled academic writers who have the following skills,
1. Exceptional English writing and speaking skills.
2. Proven academic writing skills (academic reports for research projects, research
proposals, thesis)
3. Must have health/medical background.
4. Must have great organizational skills, time-management skills, and project management skills.
5. Highly skilled in office packages, internet savvy, and research-oriented.
6. Experience in publications in academic journals would be highly desirable.
7. Master’s degree is mandatory. MPhil or PhD students are encouraged to apply.
If you feel that you might be a potential candidate who can contribute to our organization,
don't hesitate to drop your cover letter and CV at [email protected] . For role-related
general enquiry, contact Dr H N Chalise (Head of research operations)
[email protected].

25/06/2024

Online Lecture on "Sample Size Estimation: An Overview"
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Date : 13th July 2024
Time: 7-8 pm (Nepal) or 11:15 pm to 12:15 am (Sydney time)
Presenter: Dr. Laxmi Sapkota, PhD
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Sample size estimation is crucial in research as it ensures statistical power, validity, and generalizability of results, optimizes resource use and meets ethical standards. Accurate estimation reduces bias, informs study design, and is often required for regulatory approval and publication, making it foundational for credible and reliable findings.

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Registration Link

Sample Size Estimation in Research: An Overview - Think Data Solution

09/06/2024

Free online lecture series with THINK DATA SOLUTION
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Dear researchers, academicians, and students. The Think Data Solution will organize a free online lecture series on data analysis, research methods, and research literacies. The program is online and completely free of cost. However, the number of attendees is limited.

On the 22nd of June 2024 (7 PM-8 PM ) a presentation on "Regression Analysis: A boon for the modern world?"
will be presented by senior researcher Dr Hom Nath Dhungana. Dr Dhungana is an experienced statistician based in Australia.

Please feel free to register yourself (prior registration will be mandatory) using the following link.

Regression: A boon for modern world ? - Think Data Solution