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Nikita More

Consultant at Deloitte India (Offices of the US)

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Education Overview

centre for development of advanced computing cdac

university of mumbai

Companies Overview

deloitte

e42.ai

name non disclosable

cdacindia

Experience Overview

8.2 Years

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Experience

Senior Consultant

deloitte

2022 - Present

Consultant

deloitte

2019 - 2022

nlp Software Engineer

e42.ai | Mumbai Area, India

2017 - 2019

Data Scientist

name non disclosable | Mumbai

2017 - 2017

Project Engineer 1

cdacindia | Pune, Maharashtra, India

2016 - 2017

Skills

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Amazon Web Services (AWS)

analytics

Artificial Intelligence (AI)

Automation

Electronics

Machine Learning (ML)

Natural Language Processing (NLP)

optimization

Python

Research Scientist

scalability

SQL

Vision

Web

Contact Details

Email (Verified)

nikXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX70

Education

centre for development of advanced computing cdac

PG-Diploma

2015 - 2016

university of mumbai

Bachelor of Engineering - BE

2009 - 2013

Frequently asked questions

What company does Nikita More work for?

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Nikita More works for deloitte

What is Nikita More role in his workplace?

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Nikita More's role in his workplace is Senior Consultant

What is Nikita More's tenure in his workplace?

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Nikita More's tenure in his workplace is 2.42 years

What is Nikita More's total experience?

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Nikita More's total experience is 8.17 years

What is Nikita More's LinkedIn profile?

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Nikita More's LinkedIn profile can be found here

What is Nikita More's email address?

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Nikita More's email address is nikXXXXXXXXXXXXXXXXXom. Unlock here

What is Nikita More's phone/WhatsApp number?

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Nikita More's phone number is +91XXXXXXXX70. Unlock here

What schools did Nikita More attend?

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Nikita More has attended centre for development of advanced computing cdac, university of mumbai

What companies has Nikita More worked with?

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Nikita More has worked with deloitte, deloitte, e42.ai, name non disclosable, cdacindia

What are some of Nikita More's skills?

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Nikita More has skills in Amazon Web Services (AWS), analytics, Artificial Intelligence (AI), Automation, Electronics, Machine Learning (ML) and more.

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