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Best freelance Data Scientists in Uttar Pradesh to hire in 2025

Looking to hire Data Scientists in Uttar Pradesh for your next project? Browse the world’s best freelance Data Scientists in Uttar Pradesh on Contra.

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Pratyaksh Suri
Agra, India
Cover image for EDA Projects
Cover image for Inventory Management System
Cover image for Custom Object Detection using Computer Vision
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Data Scientist(2)
Cover image for 𝐐&𝐀 𝐰𝐢𝐭𝐡 𝐈𝐦𝐚𝐠𝐞𝐬 with 𝐀𝐮𝐭𝐨 𝐇𝐢𝐬𝐭𝐨𝐫𝐲 𝐒aving
Cover image for  Real-time Face Recognition and Detection Project !
Cover image for E-commerce Sales Dashboard in Power BI!
Cover image for Sentiment Analysis of Customer Reviews
Data Scientist(1)
Cover image for Real-Time Synchrophasor Data Compression Using SVD
Cover image for Spectrum Sensing using Deep Learning
Cover image for DL-Based Solution for Detection of Face-Swap Deep Fake Photos
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Data Scientist(3)
Cover image for Telecom Churn Analysis
Cover image for Superstore Sales Analysis
Cover image for Predicting Disease Outbreak
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Data Scientist(1)
Cover image for Optical Character Recongnition
Cover image for Natual Language Processing-NLP Project
Cover image for Vihang-Chandra/DS_Car_loan_linear_regression
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FAQs

Clearly outline the goals of your project. Share any specific datasets the data scientist will use. Make sure to discuss the project timeline and expected deliverables.
Include the main objectives and outcomes you expect. Mention any constraints like budget or deadlines. Provide context about your business and how the project fits into overall goals.
Look for case studies similar to your project needs. Check for technical skills in data handling and analysis. Look for creativity in problem-solving and final outputs.
Ensure they know data analysis tools like Python, R, or SQL. Familiarity with data visualization software is important. Tools used in Uttar Pradesh might also be handy like local data platforms.
Be aware of local data privacy laws. Consider the data sources available in Uttar Pradesh. Collaborate with someone who understands regional market nuances.
Set clear milestones and deadlines. Use project management tools to keep updated. Regular check-ins can ensure things are on track.
Decide on a preferred communication method like email or video calls. Set up regular meetings to discuss progress. Open and clear communication helps avoid misunderstandings.
Yes, make sure to discuss data security measures. Ensure data confidentiality and protection are prioritized. This is especially important if using sensitive data from Uttar Pradesh.
Discuss the types of reports or visualizations needed. Identify if you need raw data files or an executive summary. Clarity on deliverables helps avoid surprises.
Align the project deliverables with business objectives. Regularly review the progress against your goals. Adjust the project scope if needed to stay on track.
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