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Tin Hang
Quantitative Research Analysis
Education Overview
• coursera
• datacamp
• california state university
• sacramento city college
Companies Overview
• california highway patrol
• quant traders
• volunteer tutoring
• upwork
• inhome supportive services
• husbandrus
• recycle center
• sacramento city college
• self employed
Experience Overview
9 Years
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Contact Details
Email (Verified)
xxxxxxxx@xxxx.xxMobile Number
+91XXXXXXXXXXEducation
coursera
Mathematics
2018 - 2019
coursera
Trading Strategies in Emerging Markets
2018 - 2018
coursera
Machine Learning and Reinforcement Learning in Finance
2018 - 2019
coursera
Deep Learning Specialization, Deep Learning
2017 - 2018
coursera
Machine Learning Specialization
2017 - 2018
coursera
Applied Data Science with Python
2017 - 2018
datacamp
Data Scientist with Python
2016 - 2018
datacamp
Quantitative Analyst with R
2015 - 2018
datacamp
Data Scientist with R
2015 - 2018
california state university
Bachelor's Degree
2012 - 2015
sacramento city college
General Education, Accountant & Mathematics
2008 - 2012
Frequently asked questions
What company does Tin Hang work for?
Tin Hang works for california highway patrol
What is Tin Hang role in their workplace?
Tin Hang's role in their workplace is Office Technician
What is Tin Hang's tenure in their workplace?
Tin Hang's tenure in their workplace is 5.25 years
What is Tin Hang's total experience?
Tin Hang's total experience is 9.00 years
What is Tin Hang's LinkedIn profile?
What is Tin Hang's email address?
What is Tin Hang's phone/WhatsApp number?
What schools did Tin Hang attend?
Tin Hang has attended coursera, coursera, coursera, coursera, coursera, coursera, datacamp, datacamp, datacamp, california state university, sacramento city college
What companies has Tin Hang worked with?
Tin Hang has worked with california highway patrol, quant traders, volunteer tutoring, upwork, inhome supportive services, husbandrus, recycle center, sacramento city college, self employed
What are some of Tin Hang's skills?
Tin Hang has skills in auditing, Business Intelligence (BI), Data Analysis, Deep Learning, Education, Excel and more.
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