class NitishKumar:
def __init__(self):
self.name = "Nitish Kumar"
self.alias = "NitishKumar.ai"
self.location = "Bangalore, India 🇮🇳"
self.role = "Data Science Student"
self.passion = ["Machine Learning", "NLP", "Data Storytelling"]
self.current = "Building cool stuff with data 🔥"
self.ask_me_about = ["Python", "ML Models", "Data Analysis", "AI Projects"]
def life_philosophy(self):
return "Data is the new oil — and I'm learning to refine it. ⚗️"
me = NitishKumar()
print(me.life_philosophy())"In God we trust. All others must bring data." — W. Edwards Deming
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Machine Learning ████████████████░░░░ 80%
Python / Pandas ███████████████████░ 90%
Data Visualization ████████████████░░░░ 80%
NLP / Text Analysis ██████████████░░░░░░ 70%
Deep Learning ████████████░░░░░░░░ 60%
SQL & Databases ████████████████░░░░ 78%
Feature Engineering █████████████░░░░░░░ 65%
MLOps / Deployment ████████░░░░░░░░░░░░ 40% ← leveling up! 🚀
journey
title Nitish's Data Science Adventure 🌿
section Foundation
Learn Python: 9: Me
Master Pandas & NumPy: 8: Me
Statistics & Math: 7: Me
section Building Up
Machine Learning: 8: Me
NLP Projects: 7: Me
Data Visualization: 8: Me
section Current
Deep Learning: 6: Me
Real Projects (Fake News Detector): 9: Me
Open Source Contributions: 5: Me
section Next Stop
MLOps & Deployment: 3: Me
Kaggle Competitions: 4: Me
Research Papers: 2: Me
