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Data Scientist
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Data Scientist

Mukesh Bubna's profile picture
Posted by Mukesh Bubna
1 - 3 yrs
₹3L - ₹5L / yr
Mumbai, Chennai
Skills
skill iconData Science
skill iconPython
skill iconR Programming
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Monexo Fintech

Founded :
2016
Type :
Products & Services
Size :
20-100
Stage :
Raised funding

About

Monexo is an Reserve Bank of India approved Peer-to-Peer (P2P) Lending marketplace. P2P lending is democratizing finance. 

 

We are driving 'credit inclusion' through paperless onboarding of young working class earning between 15,000 to 30,000 per month with Data Science.

 

Being a marketplace model - we have lenders who are diversifying beyond Saving Account, Fixed Deposits and Mutual Funds to earn a better yield on their savings.

 

We are part of the India FinTech industry and invite you to be part of this revolution.

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Mukesh Bubna
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Sonal Bengani
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Vikram Mehta
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Padmasini Rengabashyam
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Dharm Shankar Srivastava

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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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