#!/usr/bin/python
# -*- coding: utf-8 -*-
class MisterEpsilon :
def __init__(self) :
self.surname = "Epsilon"
self.role = "PhD Student in Financial Engineering | Data Scientist"
self.interests = ["Data Science", "Machine Learning", "Deep Learning",
"Big Data", "Finance", "Economics",
"Statistics", "Quantitative Analysis"]
self.hobbies = ["Reading", "Writing", "Music", "Volleyball"]
self.education = {
"degree": ["Master of Science in Data Science",
"PhD in Financial Engineering (in progress)"],
"university": ["University Paris 1 Panthéon-Sorbonne",
"HEC Montréal"],
}
self.language_spoken = ["French", "English", "Wolof"]
self.location = "Montreal, Canada"
self.favorite_quote = "No weakness, strive for greatness"
self.programming_languages = ["Python", "R", "SAS", "Scala", "pySPARK"]
def say_hi(self) :
print("Hello, World! This is Mister Epsilon. Welcome to my GitHub profile. \n"
"I am a {} based in {}. \n"
"I am currently pursuing a {} at {}. \n"
"I am passionate about {} and {}.\n"
"I speak {} and my favorite quote is: '{}'.\n"
"I am proficient in {}.".format(self.role,
self.location,
self.education["degree"][1],
self.education["university"][1],
', '.join(self.interests),
', '.join(self.hobbies),
', '.join(self.language_spoken),
self.favorite_quote,
', '.join(self.programming_languages))
)
me = MisterEpsilon()
me.say_hi()
🏠
Working from home
Data Scientist doing a PhD in Quantitative Finance at HEC Montreal | Interests in Climate Finance | Time Series ❤️ | 2pac 👑 | Keep ur head up | Fin ML Fellow
- Montreal, Canada
-
15:41
(UTC -05:00)
Highlights
- Pro
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nicolagnecco/erf
nicolagnecco/erf PublicAn R package for extreme quantile regression with random forests
R 10
-
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If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.