class NickTem:
def __init__(self):
self.name = "Nick Tem"
self.username = "nicktm8"
self.role = "Python Developer ๐"
self.focus = ["Data Analysis ", "Machine Learning", "AI"]
self.stack = ["Python", "SQL", "Pandas", "NumPy", "Matplotlib"]
self.learning = ["TensorFlow", "Scikit-Learn", "PyTorch"]
self.goal = "Data Analyst โ ML / AI Engineer ๐ฏ"
self.motto = "Learn. Build. Repeat. ๐ฅ"
def say_hi(self):
print("Thanks for visiting my profile! Let's build something great ๐")
me = NickTem()
me.say_hi()Python โโโโโโโโโโโโโโโโโโโโ 75% ๐
Data Analysis โโโโโโโโโโโโโโโโโโโโ 55% ๐
SQL & Databases โโโโโโโโโโโโโโโโโโโโ 70% ๐ข๏ธ
R Language โโโโโโโโโโโโโโโโโโโโ 20% ๐งฎ
Data Visualisation โโโโโโโโโโโโโโโโโโโโ 40% ๐จ
Machine Learning โโโโโโโโโโโโโโโโโโโโ 30% ๐ค
TensorFlow / Keras โโโโโโโโโโโโโโโโโโโโ 25% ๐ฅ
PyTorch โโโโโโโโโโโโโโโโโโโโ 25% โก
๐ฑ Actively learning and improving every day โ Data Analysis now, ML & AI next
- ๐ Master Python fundamentals & OOP
- ๐ Build first data analysis project
- ๐ Complete data analysis with Pandas & NumPy
- ๐๏ธ Build 2 SQL database projects
- ๐ค Train first ML model with Scikit-Learn
- ๐ Create a full end-to-end data pipeline
- ๐ Land first Data Analyst role
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Highlights:
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