9 projects with interactive demos. Click, interact, and see model outputs — predictions, visualizations, and scores — not code.
Organized by learning paradigm for teams evaluating data science depth.
Outcome prediction, risk scoring, forecasting — models trained on labeled data to drive measurable business decisions.
Toggle customer features and watch churn probability update in real time with confusion matrix, ROC curve, and feature importance.
89%
Accuracy
87%
Precision
91%
Recall
0.89
F1 Score
Submit a sample transaction and get a fraud risk score with SHAP waterfall explanation and precision-recall tradeoff.
0.91
PR-AUC
-34%
False Positives
-41%
Review Time
<120ms
Inference Latency
Mini form: input applicant details → instant approval probability, risk tier, and fairness metrics across demographics.
0.94
AUC-ROC
72%
Approval Rate
<3%
Fairness Gap
<50ms
Latency
Anomaly detection, segmentation, pattern discovery — extracting structure when labels are limited or unavailable.
Interactive 3D cluster visualization — hover over points to see customer profiles with elbow plots and silhouette scores.
7
Segments
0.62
Silhouette
+19%
Campaign CTR
+14%
CAC Efficiency
Live-style feed showing normal vs. anomalous data points flagged in real time with threshold tuning slider.
94%
Detection Accuracy
<100ms
Latency
10K+
Sensors
5M+
Events/Day
Neural networks, transformers, RAG pipelines, agent orchestration — advanced architectures for language, sequence, and multi-modal tasks.
Type text → real-time sentiment + intent classification with attention heatmap and confidence distribution.
92%
Accuracy
1000/min
Processing
5
Languages
3
Classes
Select a ticker to see predicted vs. actual prices with confidence intervals and interactive candlestick charts.
$2.01
RMSE
$1.54
MAE
3.2%
MAPE
0.964
R²
Turn any document into a deployed AI chatbot in 60 seconds. No code. No ML knowledge. No infrastructure. Public marketplace coming soon.
<60s
Deploy Time
OAuth
Auth
Pinecone
Vector DB
Stripe
Billing
Upload any dataset — CSV, PDF, images, JSON. The system auto-detects the task, trains a model in real time with a live loss curve, and lets you query it instantly with built-in SHAP/attention explainability.
5
Data Modalities
96%
Auto-Detect Accuracy
<30s
Train → Inference
100%
Explainability
I can walk through model design choices, tradeoffs, deployment architecture, and the measured impact from each project.