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Data Scientist
UpSolve Solutions LLP's logo

Data Scientist

Shaurya Kuchhal's profile picture
Posted by Shaurya Kuchhal
1 - 4 yrs
₹3L - ₹5L / yr
Mumbai
Skills
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
skill iconData Analytics
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)

Role Description

This is a full-time client facing on-site role for a Data Scientist at UpSolve Solutions in Mumbai. The Data Scientist will be responsible for performing various day-to-day tasks, including data science, statistics, data analytics, data visualization, and data analysis. The role involves utilizing these skills to provide actionable insights to drive business decisions and solve complex problems.


Qualifications

  • Data Science, Statistics, and Data Analytics skills
  • Data Visualization and Data Analysis skills
  • Strong problem-solving and critical thinking abilities
  • Ability to work with large datasets and perform data preprocessing
  • Proficiency in programming languages such as Python or R
  • Experience with machine learning algorithms and predictive modeling
  • Excellent communication and presentation skills
  • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Statistics, Data Science)
  • Experience in the field of video and text analytics is a plus


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Subodh Popalwar

Software Engineer, Memorres
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About UpSolve Solutions LLP

Founded :
2022
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped

About

Building solutions in Video and Text Analytics to drive business decisions. Do you have a Business Problem taking - 2x more time than expected? - 2x more resources than available? That's not a Problem! You got an Opportunity to UpSolve.
Read more

Company social profiles

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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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