interactive-dashboard

Run reduced-order battery, thermal, converter and BESS control models with transparent equations and repeatable testing.

Interactive data exploration that is extremely fast and agent-native

Real-Time Intelligence Operations Solution Accelerator with Dashboards and Anomaly Detection

Explore data center power continuity, energy ledgers & infrastructure assumptions through reproducible synthetic models.

This solution accelerator provides the architecture and working solution for real-time intelligence for operations. Key features include real-time dashboard, anomaly detection, and fabric data agent.

Forecast factory is an interactive AI-powered forecasting and simulation tool built with Python, Streamlit, Prophet, and SQL. It enables analysts to forecast business metrics, run what-if scenarios, and visualize results in real time, transforming predictive analytics into actionable strategic simulations.

MarketIQ is a full-stack Streamlit + SQL + Prophet dashboard for real-time business intelligence. It transforms raw sales data into KPIs, trend analytics, and six-month forecasts. With SQL-driven insights, dynamic filtering, and exportable reports, MarketIQ helps analysts visualize growth and predict performance instantly.

Audit battery-arbitrage assumptions with finite-state benchmarks, chronological protocols & reproducible model evidence.

Heart Disease Analysis Power BI Dashboard A data-driven Power BI report analyzing heart disease patient data to uncover insights by gender, age, and health metrics. Built using Power BI, Excel, and DAX to demonstrate data modeling, visualization, and business intelligence storytelling for healthcare analytics.

Trace battery heat-generation assumptions, compare cooling boundaries & reproduce a transparent one-node energy balance.

An interactive Dash application providing in-depth analysis of global mental health trends, leveraging advanced data science and visualization techniques. Designed for insightful exploration of the prevalence and impact of mental disorders.

Fit capacity-fade models, test chronological holdouts & report battery-life uncertainty with reproducible Python checks.

A comprehensive machine learning application that predicts breast cancer malignancy using cytology measurements. Features an interactive Streamlit web interface with real-time visualizations including radar charts for cell nuclei analysis. Implements logistic regression with data preprocessing pipelines for accurate benign/malignant classification.

Study synthetic wind forecasts, asymmetric offer decisions & reproducible revenue backtests through transparent lessons.

Arrange BESS FAT, SAT, commissioning and handover evidence with traceable readiness checks and explicit review controls.

Navigate battery, BESS & smart-grid projects through engineering questions, inspectable source code and explicit limits.

Explore hybrid-energy assumptions, storage dispatch & auditable numerical screens using a reproducible Python workbench.

Review graph-based battery electrothermal dynamics, cooling assumptions and reproducible evidence in MATLAB experiments.

Explore grid services through BESS power, energy, reserve, frequency, voltage & capability constraints with worked labs.

Explore battery thermal balances & DC-link sizing through inspectable Python and MATLAB models with reproducible checks.