AI model predicting NBA game outcomes using advanced stats and trends

🏃 An R package for advanced sports performance analysis and training load monitoring using Strava data.

Thesis project about Unsupervised anomaly detection on the streaming time-series data of porfolio risk measures and returns.

Time series decomposition into trend and cycle components. (Stochastic) trend estimation and forecasting

MSc Finance dissertation project at Newcastle University. This project focused on forecasting the volatility of exchange rates involving the Great British Pound using EWMA, GARCH-type and Implied Volatility models.

This repository consits of: projects and homeworks connected with research area such as Risk Management.

Simple python library thats implemented EWMA, IIR and Average filter.

Discussed various methodologies that may help while implementing Time Series

Compute an exponentially weighted mean incrementally.

An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.

Intelligent disaster detection platform analyzing tweets in real-time using anomaly detection, spaCy NER, and Leaflet visualization with Twilio SMS integration.

An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.

Volatility forecasting using ARCH, GARCH, and EWMA on JPM stock

Random Plotly Dash scripts, mostly TA related

A tool to track and forecast system performance with advanced EWMA modelling

This repository represents additional control charts, various plans and variables that are used within the chart scope using Minitab software

Swift Struct implementing EWMA / Smooth Sequence of generic values

NCIs Project 2024/25

Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems

Логи Nginx → аномалии → отчёты PDF/MD (Kafka, ClickHouse, Java).