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Best Hindi-speaking R freelancers to hire in 2025

Looking to hire Hindi-speaking R freelancers for your next project? Browse the world’s best R freelancers on Contra.

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Ali Hassan
Rawalpindi, Pakistan
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ik developer
Pakistan
5.0
Rating
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Muhammad Jarir Kanji
Karachi City, Pakistan
$1k+
Earned
2x
Hired
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Narayanan M
Bengaluru, India
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Explore Hindi-speaking R projects on Contra

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35
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13
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44
Cover image for Predictive Analytics: Flight Delays at RegionEx
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24
Cover image for Exploratory Analysis of Geolocational Data
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42
Cover image for Data engineering & R Development at the WHO
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17
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10
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1
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0
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Top services from Hindi-speaking R freelancers on Contra

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D3.js

D3.js

Data Visualizer

Data Scientist

Exploratory Data Analysis (R, Python, Tableau, Power BI)

$25/hr

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MATLAB

MATLAB

Data Scientist

Data Modelling Analyst

Time Series Analysis and forecasting with results.

Contact for pricing

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Microsoft Excel

Microsoft Excel

Business Analyst

Data Scientist

Expert Data Analysis Services for Informed Business Decisions

$70/wk

FAQs

Check for experience in handling data similar to your project. Look for examples of statistical reports and data visualizations. Make sure they have examples of work using predictive analytics and automation.
Discuss your project's goals in detail. Share any specific datasets or problems you want to solve. Make sure they ask questions about your needs to show they understand.
They should know statistical analysis and data manipulation. Check if they can create beautiful, clear visualizations. They should also know how to write R scripts for analysis.
Good communication helps make sure both sides understand the project's progress. They should be able to explain technical terms in a simple way. Regular updates keep the project on track.
Expect clear statistical reports that explain the findings. Ask for interactive dashboards and visualizations for better understanding. They should provide scripts that perform specific tasks if needed.
Start with a detailed discussion of your project goals. Agree on tasks, timelines, and expected outcomes. Clear scope helps prevent misunderstandings.
Timelines help manage expectations for both sides. They ensure the project moves at a steady pace. It helps organize meetings for updates and reviews.
Ask about past projects where they solved complex data problems. Look for creative solutions to challenges. They should show critical thinking in their approach.
Make sure they know about the latest R libraries and tools. Familiarity with popular data analysis tools is a plus. This can make them more efficient.
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