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Naitik Bhise
Data Science | IIT-B | Index Quant
Education Overview
• concordia university
• iit bombay indian institute of technology bombay
Companies Overview
• goldman sachs
• airlab
• liquid analytics
• concordia university
• cryptoeasy
• predoole analytics private limited
Experience Overview
3.7 Years
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Experience
Skills
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Algorithms
Application Programming Interfaces (API)
Artificial Intelligence (AI)
Big Data
Cloud Storage
Data Engineering
Data Pipelines
Data Science
Data Scientist
Equities
finance
French
Java
Natural Language Processing (NLP)
Python
Research
Research Scientist
Sales
Sentiment Analysis
Service-Oriented Architecture (SOA)
SOA
SQL
Stock Market
storage
Trading
Contact Details
Email (Verified)
naiXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
concordia university
Master in Computer Science (Thesis) - GPA 3.75
2019 - 2021
iit bombay indian institute of technology bombay
Master's degree
2017 - 2018
iit bombay indian institute of technology bombay
Bachelor's degree
2013 - 2017
Frequently asked questions
What company does Naitik Bhise work for?
Naitik Bhise works for goldman sachs
What is Naitik Bhise role in his workplace?
Naitik Bhise's role in his workplace is Associate
What is Naitik Bhise's tenure in his workplace?
Naitik Bhise's tenure in his workplace is 2.59 years
What is Naitik Bhise's total experience?
Naitik Bhise's total experience is 3.67 years
What is Naitik Bhise's LinkedIn profile?
What is Naitik Bhise's email address?
What is Naitik Bhise's phone/WhatsApp number?
What schools did Naitik Bhise attend?
Naitik Bhise has attended concordia university, iit bombay indian institute of technology bombay, iit bombay indian institute of technology bombay
What companies has Naitik Bhise worked with?
Naitik Bhise has worked with goldman sachs, airlab, liquid analytics, concordia university, cryptoeasy, predoole analytics private limited
What are some of Naitik Bhise's skills?
Naitik Bhise has skills in Algorithms, Application Programming Interfaces (API), Artificial Intelligence (AI), Big Data, Cloud Storage, Data Engineering and more.
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