3. Data, Science & AI

Provides statistical tools for detrending macroeconomic time series using HP filter, log transformations, and business cycle correlation analysis.

Detects flood events by comparing water level data to thresholds, enabling occurrence determination, day counting, and severity classification.

Solves nonlinear programming problems using CasADi and IPOPT, supporting symbolic variables, constraints, and power systems optimization patterns.

Extracts scheduling constraints (dates, times, recurrence) from email text for automated calendar and scheduling systems.

Standardizes video frame sampling and indexing to ensure alignment between interval instructions and mask frames within a consistent key scheme.

Estimates driving duration, distance, and cost between cities using a bundled distance matrix CSV for itinerary planning and travel comparison.

Transcribes audio/video to text with word-level timestamps using OpenAI Whisper for precise speech recognition.

Retrieves restaurant listings by city from an integrated dataset for dining recommendations and destination validation.

Normalizes manufacturing defect reasons by correcting typos, ambiguous descriptions, and mixed language using semantic matching and confidence calibration.

RDKit provides molecular structure processing, SMILES/SDF parsing, descriptor calculation, and substructure search for chemical data analysis.

Detects periodic box-shaped dips in astronomical light curves to identify transiting exoplanets and eclipsing binaries via the Box Least Squares method.

Designs step test excitation signals for system identification and parameter estimation in control systems engineering.

Generates dynamic object binary masks after global motion compensation, outputting in CSR sparse format for efficient video data processing.

Deterministic tool for reflow profile compliance computation using thermocouple data and handbook references to generate metrics like ramp, TAL, and peak.

Detects periodic signals in unevenly sampled astronomical time series data using Lomb-Scargle method, applicable to light curves and radial velocity measurements.

Performs matched filtering for gravitational wave detection using PyCBC, supporting both time and frequency domain analysis of detector data.

Validates output format, range, and consistency locally without ground truth, ensuring data integrity in AI/ML pipelines.

Creates application-specific distance/similarity metrics for clustering algorithms in machine learning, compatible with DBSCAN, scikit-learn, and SciPy.

Adds integral action to Model Predictive Control for offset-free tension tracking in engineering systems.

Integrates ElevenLabs API to convert text into natural-sounding speech using AI-powered synthesis.

Searches a bundled dataset for accommodations in a given city, providing lodging recommendations for itinerary planning.

Extracts detailed technical properties of media files including duration, resolution, bitrate, and codec information.

Counts object instances in images using computer vision algorithms for image analysis tasks.

Analyzes 3D STL mesh files to compute geometric properties (volume, components) and extract attributes, filtering debris from noisy scan data.