I am a Python Developer and AIML Engineer focused on building real-world AI systems.
I specialize in:
- Machine Learning & Data Science
- Predictive Systems
- Explainable AI
- Interactive AI Applications
An end-to-end Machine Learning system that:
- Predicts delivery time
- Identifies delay causes
- Calculates business impact
- Provides optimization strategies
Tech Used: Python, Pandas, Scikit-learn, Plotly, Gradio
π Live App:
https://huggingface.co/spaces/Siddhartha001/swiggy-delivery-analysis
π GitHub:
(Add your repo link here)
An end-to-end Machine Learning system designed to detect fraudulent transactions in real time.
- Real-time fraud prediction using ML models
- Risk scoring based on transaction probability
- Handles imbalanced financial data
- Explainable AI for decision transparency
- Business impact estimation (fraud loss prevention)
- Data Processing β Feature Engineering
- Model β Machine Learning classifier
- Prediction β Fraud probability scoring
- Output β Fraud alert + risk level
π GitHub:
https://github.com/k-siddhartha-ai/real-time-fraud-detection-system
End-to-end ML system with Explainable AI, segmentation, and NLP integration.
π https://github.com/k-siddhartha-ai/churnguard-ml-platform
Transformer-based NLP model deployed on Hugging Face.
π https://huggingface.co/spaces/Siddhartha001/multilingual-sentiment-analysis
CNN + Transfer Learning for medical image classification.
- Customer Segmentation (K-Means)
- Distance Metrics Visualization
- Decision Tree Applications
- Regression Models
- Machine Learning & AI
- Data Science & Analytics
- NLP & Transformers
- Deep Learning & Computer Vision
- FastAPI, Streamlit, Gradio
- Data Visualization
- π GitHub: https://github.com/k-siddhartha-ai
- π€ Hugging Face: https://huggingface.co/Siddhartha001
- End-to-End ML Systems
- AI-powered dashboards
- Predictive analytics solutions
- Explainable AI applications