class MLEngineer:
def __init__(self):
self.name = "Gurkirat Singh Bhangoo"
self.role = "Aspiring Machine Learning Engineer"
self.location = "Punjab, India"
self.education = "B.Tech in AI & ML"
def current_focus(self):
return [
"Risk Prediction Systems",
"Feature Engineering & Model Optimization",
"Data Analysis & Visualization",
"End-to-End ML Pipelines"
]
def goals(self):
return "Building production-ready, scalable ML systems"- 🔭 Currently working on Machine Learning Projects
- 🌱 Learning Deep Learning, MLOps, Model Deployment
- 🎯 Goal: ML Engineer at Product-Based MNC
- 💬 Ask me about Python, Machine Learning, Data Analytics
- ⚡ Fun fact: I debug by explaining code to my rubber duck 🦆
|
Python • Machine Learning • Sports Analytics Machine learning model for Champions League match prediction and analysis |
Python • Scikit-learn • Risk Analysis Cost-sensitive ML model for credit risk assessment and prediction |
|
Python • ML • Educational Data ML model to predict student academic performance using various features |
Python • Predictive Analytics • Business Customer churn prediction model for business retention strategies |
|
Python • JSON • Data Management Complete system for managing and analyzing student marks data |
Python • Risk Modeling • Analysis Risk assessment and prediction system for project management |
Currently Exploring: • Deep Learning Models |
