#!/usr/bin/env python3
### π₯ [Download My Resume/CV](https://drive.google.com/drive/u/0/folders/1lCMdLqvNGkGQlCQyp2kCyyDqptpLSpL-)
---
# ============================================================
# Zahoor Khan β Developer Profile
# CEO @ PyCode Ltd | Data Scientist | ML Engineer
# ============================================================
class ZahoorKhan:
def __init__(self):
self.name = "Zahoor Khan"
self.alias = "hacker007S"
self.role = "CEO @ PyCode Ltd"
self.location = "London, United Kingdom"
self.pronouns = "he/him"
self.website = "https://www.pycode.co.uk"
@property
def skills(self):
return {
"languages" : ["Python", "SQL", "Bash"],
"ml_stack" : ["Scikit-Learn", "TensorFlow", "PyTorch", "XGBoost"],
"data" : ["Pandas", "NumPy", "Matplotlib", "Seaborn", "Plotly"],
"tools" : ["Jupyter", "VS Code", "Git", "Docker", "Kaggle"],
"domains" : ["Machine Learning", "Deep Learning", "NLP", "Data Viz"],
}
@property
def currently(self):
return {
"building" : "AI-powered tools at PyCode Ltd",
"learning" : "Advanced Deep Learning & LLMs",
"open_to" : "Freelance, Consulting & Collabs",
"fun_fact" : "I turn messy data into clean insights",
}
def __str__(self):
return f"Hi! I'm {self.name} - {self.role}"
me = ZahoorKhan()
print(me)
| Project |
Description |
Tech |
Stars |
| π« ami-early-diagnosis-xai |
Clinical ML predicting AMI from hematological biomarkers (RandomForest, XGBoost, LightGBM + SHAP) |
Python, Scikit-Learn, XGBoost |
Stars |
| π stock-price-forecasting |
Multi-ticker stock forecasting with LSTM, GRU & XGBoost + SHAP explainability |
Python, TensorFlow, XGBoost |
Stars |
| π©ββοΈ contraceptive-method-prediction |
Public-health ML on UCI CMC dataset using SVM, Logistic Regression & RF with SMOTE |
Python, Scikit-Learn |
Stars |
| π customer-churn-prediction |
End-to-end telecom churn ML: EDA, KMeans, SMOTE, XGBoost (99% AUC) + SHAP |
Python, Scikit-Learn, XGBoost |
Stars |
| π closet-to-cash |
AI-powered resale scanner mobile app β Claude Vision AI + Supabase |
React Native, Expo, TypeScript |
Stars |
| π [Final-Year-Project](https://github.com/hacker007S/Final-Year-Project) | Churn Prediction with ML | Jupyter, Scikit-Learn | [](https://github.com/hacker007S/Final-Year-Project) |
| π InFographics-visualization | Advanced data infographics | Python, Matplotlib | Stars |
| π€ Clustering_report_ADS | KMeans clustering analysis | Python, Scikit-Learn | Stars |
| π VisualizationAssignment | Data visualization coursework | Python, Plotly | Stars |
| π visualization_report | Python data visualization analysis & reporting | Python | Stars |
| π My-report | EDA & data analysis | Jupyter Notebook | Stars |