Question 1

What services do you offer?

Accepted Answer

Data cleaning, exploratory analysis, machine learning model development, predictive analytics, Power BI and Tableau dashboards, SQL analysis, business intelligence reporting, AI automation and research data analysis.

Question 2

How much does a dashboard cost?

Accepted Answer

A focused single-page Power BI or Tableau dashboard typically starts around ₹15,000, while multi-page dashboards with data modelling and automated refresh are quoted after a free scoping call.

Question 3

Which industries do you work with?

Accepted Answer

Retail and e-commerce, healthcare, SaaS and subscription businesses, education, logistics, finance and academic research teams.

Question 4

Do you provide online training?

Accepted Answer

Yes. I offer 1:1 mentoring and small-group training in Python, SQL, statistics, Power BI and machine learning, plus a free study materials hub.

Question 5

How long does a typical project take?

Accepted Answer

Cleaning and EDA engagements usually take 3-7 days, dashboards 1-2 weeks, and full machine learning projects 3-5 weeks depending on data readiness.

Question 6

What data formats can you work with?

Accepted Answer

CSV, Excel, JSON, Google Sheets, SQL databases (PostgreSQL, MySQL, SQL Server), APIs and cloud warehouse exports.

Question 7

Is my data kept confidential?

Accepted Answer

Always. I sign an NDA on request, work on anonymised data wherever possible, and delete project data after handover if you ask.

Question 8

Do you work with startups on a small budget?

Accepted Answer

Yes. Startups often start with a focused analysis or single dashboard so they get value quickly before committing to a larger scope.

Question 9

What do you need from me to start?

Accepted Answer

A short description of the business question, a sample of the data, and who the output is for. That is usually enough to scope the work accurately.

Question 10

Do you offer post-delivery support?

Accepted Answer

Every project includes 14 days of free support for fixes and small tweaks, with optional monthly maintenance after that.

Question 11

Can you work with my existing analytics team?

Accepted Answer

Absolutely. I frequently work as an extension of in-house teams, delivering documented code and models they can maintain.

Question 12

Which tools do you build in?

Accepted Answer

Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, Tableau, Excel and Jupyter, with Git for version control.

Question 13

Are the study materials really free?

Accepted Answer

Most notes, cheat sheets and datasets are free to download. A few advanced handbooks and interview question banks are premium.

Question 14

Do you take freelance or full-time roles?

Accepted Answer

I take freelance and contract data science engagements, and I am open to discussing full-time analytics roles.

Question 15

How do we get started?

Accepted Answer

Book a free 30-minute consultation or send the contact form. You will get a scope, timeline and fixed quote within 48 hours.

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