~/Credit-Card-Fraud-Detection
view_source →End-to-end MLOps project — hybrid ensemble model, Streamlit dashboard, SHAP/LIME explainability, and data drift detection.
Kuldeep Bhardwaj // ML Engineer // Delhi, India
from education import ElectricalEngineering
class Kuldeep(MLEngineer, SoftwareDeveloper):
"""
Building ML systems end-to-end —
from raw data to deployed models
with real-world impact.
"""
def __init__(self):
self.role = "ML Engineer"
self.base = "Delhi, India"
self.exp = 0 # fresher
def mission(self) -> str:
return "From raw data to production-ready ML — end to end."
End-to-end MLOps project — hybrid ensemble model, Streamlit dashboard, SHAP/LIME explainability, and data drift detection.
Personalized Hybrid Recommender for games using SVD + TF-IDF + ensemble methods on 230K+ reviews with a live Streamlit dashboard.
NYC Uber rides analysis — Time Series Forecasting with Prophet, Folium maps, and demand modeling using Pandas, NumPy, and Streamlit.
// Interested in collaboration? Execute the command below.
> mailto:contact@kuldeepbhardwaj.me