3. Data, Science & AI

Calibrates GLM parameters to minimize RMSE between simulated and observed water temperature data in environmental modeling.

Analyzes 3D mesh files (STL) to compute geometric properties and filter debris from noisy scan data.

Introduces the General Lake Model (GLM) for simulating lake thermal dynamics in environmental science.

Implements and compares clustering algorithms (Hierarchical, KMeans, Agglomerative) for speaker embedding grouping with selection guidance based on speaker count knowledge.

Optimizes power generation costs by computing optimal generator setpoints, operating margins, and handling generator cost functions in electrical power systems.

Transcribes video audio to timestamped text using the pre-installed Whisper tiny model for efficient speech recognition.

Analyzes SEC 13-F filings to extract fund holdings, AUM, and quarterly portfolio change insights.

Analyzes video content via Google Gemini API for summaries, transcription with timestamps, scene detection, and multi-video comparison including YouTube URL analysis.

Generates optimal generator setpoints to minimize power system generation costs and calculate operating margins using cost functions.

Guides basic usage of the General Lake Model (GLM) for lake temperature simulation, including input file interpretation and configuration adjustments.

Fuses visual (face/lip tracking via OpenCV) and audio features to enhance speaker diarization accuracy in video files with multiple speakers.

Parses bus, generator, and branch data formats for power flow analysis in electrical grid systems.

Implements and compares clustering algorithms (Hierarchical, KMeans, Agglomerative) for speaker embedding grouping, with guidance on algorithm selection based on speaker count knowledge.

Provides a Python package for the GaMMA earthquake phase association algorithm, processing seismic phase picks and station data to cluster events and output earthquake source parameters.

Runs Python-based ML model training on cloud GPUs (A100/T4/A10G) via Modal, handling setup, data, and results.

Enables comprehensive spreadsheet creation, editing, and analysis with formula support, formatting, and data visualization across multiple spreadsheet formats.

Processes GLM model output files to extract temperature data, convert depth coordinates, and calculate RMSE against observational data for scientific analysis.

Provides a Python package for the GaMMA earthquake phase association algorithm, processing seismic phase picks and station data to cluster events and output earthquake source parameters.

Provides an overview of ObsPy's core data API for parsing seismological file formats and preparing data for signal processing and modeling workflows.

Transcribes audio to text using Whisper models with adjustable accuracy and speed, aligning timestamps with speaker diarization.

Toolkit for matching entity names across datasets with spelling variations, typos, or formatting differences, enabling accurate data reconciliation.

Provides AI-powered video analysis via Google Gemini API, including summaries, Q&A, transcription, scene detection, and multi-video comparison.

Enables fuzzy name matching for fund and stock CUSIP data in 13F filings, handling misspellings and approximate inputs for accurate financial data retrieval.

Provides a strategy for solving constraint optimization problems on spatial maps, maximizing objectives while adhering to constraints.