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Neha Jindal
Meticulous & Inquisitive Data Scientist Enthusiast with hands on Python Libraries,EDA, Stats, ML ||Looking for opportunities in Data Science, Data Analytics, Machine Learning||Ex-Amazonian || Daishonin Follower
Education
• great lakes institute of management
• bhagat phool singh mahila university khanpur kalan sonipat
• satluj public school india
Companies
• deloitte
• kantar
• amazon
Experience
4.3 Years
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Experience
Skills
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analytics
Data Analysis
Data Analytics
Data Science
Data Scientist
EDA
eda
Extract, Transform, Load (ETL)
forecasting
Git BASH
IBM Tivoli Workload Scheduler (TWS)
Jira
Linux
Machine Learning
Machine Learning (ML)
Manual Test Execution
Manual Testing
Microsoft Office
Microsoft Word
MySQL
NumPy
Pandas (Software)
PCA
PowerPoint
Python
Python (Programming Language)
Research Scientist
Sales
SQL
Statistics
strategy
test
test cases
testing
Workbench
Contact Details
Email (Verified)
nehXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
great lakes institute of management
PGDP-DSE
2020 - 2021
bhagat phool singh mahila university khanpur kalan sonipat
Engineer’s Degree
2012 - 2016
satluj public school india
12th
2011 - 2012
Frequently asked questions
What company does Neha Jindal work for?
Neha Jindal works for deloitte
What is Neha Jindal role in his workplace?
Neha Jindal's role in his workplace is Data Analyst
What is Neha Jindal's tenure in his workplace?
Neha Jindal's tenure in his workplace is 1.00 years
What is Neha Jindal's total experience?
Neha Jindal's total experience is 4.33 years
What is Neha Jindal's LinkedIn profile?
What is Neha Jindal's email address?
What is Neha Jindal's phone/WhatsApp number?
What schools did Neha Jindal attend?
Neha Jindal has attended great lakes institute of management, bhagat phool singh mahila university khanpur kalan sonipat, satluj public school india
What companies has Neha Jindal worked with?
Neha Jindal has worked with deloitte, kantar, amazon
What are some of Neha Jindal's skills?
Neha Jindal has skills in analytics, Data Analysis, Data Analytics, Data Science, Data Scientist, EDA and more.
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