Early-warning and risk-scoring systems designed around practical decision making.
Development of risk prediction workflows for areas such as student retention, service-level monitoring, and operational classification, with clear probability outputs and user-facing dashboards.
Predictive modelling and machine learning workflows for structured data.
Model development using Python and scikit-learn, including data preparation, feature engineering, validation, class imbalance handling, probability calibration, and performance evaluation.
Evaluation using measures such as ROC AUC, PR AUC, F1, precision, recall, MAE, RMSE, Brier score, reliability analysis, and SHAP-based explanation where appropriate.
Exploratory analysis, reporting, and visual communication for complex datasets.
Data cleaning, exploratory data analysis, statistical summaries, feature investigation, and visual reporting using Python, pandas, Matplotlib, Excel, SQL, and Power BI where suitable.
Design, configuration, troubleshooting, and security support for reliable computer networks.
Computer network and security services covering network setup, routing and switching, Wi-Fi configuration, connectivity troubleshooting, VLAN planning, firewall configuration, access control, network monitoring, security assessment, system hardening, and infrastructure protection for secure and reliable operations.
Web interfaces that connect data, models, users, and application workflows.
Development of Flask-based applications with authentication, role-based interfaces, forms, prediction workflows, dashboards, file handling, and database integration.
Structured database design and SQL-backed application features.
Database schema design, CRUD workflows, prepared queries, reporting queries, and application integration using MySQL, SQLite, SQL Server tools, and related database technologies.
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