PROJECT HIGHLIGHTS FEATURED
PORTFOLIO TERMINAL
├── Finance/
│ ├── Asset_Screener ML Filter
│ ├── Portfolio_Analyzer Risk-Reward Optimizer
│ └── Forecasting_Suite Market Forecasting
├── Business/
│ ├── Business_Analyzer Financial Modeling
│ ├── Business_Intelligencer KPI BI
│ └── Project_Evaluator Planner, CBA
└── Other/
Samos (Coming Soon)
PERFORMANCE METRICS UPDATED
PROJECT KEY FEATURES FLAGSHIP
3D PROJECT EXPLORER INTERACTIVE
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Axes
X: Complexity
Y: Impact
Z: Scale
DOCUMENTATION & DEMOS PROGRESS
INFRASTRUCTURE MONITORING
CLUSTERS: 1
NODES: 1 (local)
UPTIME: local
CPU UTIL: 42%
MEMORY: 6.2/16GB
STORAGE: 180/512GB
NETWORK I/O: ~8 MB/s
LOAD AVG: 1.1
DISK I/O: ~35 MB/s
PROCESSES: ~240
DATA PIPELINE STREAMING
├── Sources/
│ ├── Market_Feeds Yahoo / APIs
│ ├── News_Streams Optional
│ └── Social_Signals Optional
├── Processing/
│ ├── ETL_Pipeline Python/pandas
│ └── Data_Validation Checks
└── Storage/
├── Time_Series SQLite / CSV
└── Outputs Local / Parquet
NETWORK TELEMETRY REALTIME
THROUGHPUT: 72%
PACKETS/SEC: ~120
LATENCY: ~45ms
ERROR RATE: <0.1%
UPTIME: local
LOCAL ✓
DEV_MACHINE
METHODOLOGY FRAMEWORK
APPROACH: Data-Driven Analytics
FRAMEWORK: CRISP-DM + Agile
DATA SOURCES: APIs, Web Scraping, DBs
VALIDATION: Cross-Validation, A/B Testing
ML TECHNIQUES: Ensemble, classical ML
QUALITY CONTROL: Tests + automation
BUSINESS IMPACT: ROI Analysis, NPV/IRR
DEPLOYMENT: Local / single-node
MONITORING: Scripts + logs
ETHICS & COMPLIANCE: GDPR, Data Privacy
ANALYTICS ENGINE CORE
MACHINE: Single dev box
MEMORY: 16–32GB
STORAGE: Local SSD
GPU: Optional / integrated
OS: Linux / macOS
PYTHON: 3.11 + Conda
ML: Scikit, XGBoost, etc.
DATA: Pandas, NumPy
VERSION CONTROL: Git
SYSTEM STATUS NOMINAL
SYSTEM HEALTH: OK
LAST RUN: On demand
ALERTS:
BACKUP: Manual / external