3. Data, Science & AI

Parses SQLite databases and map data into structured JSON for schema exploration and relationship analysis.

Processes GLM model output files, extracting temperature data from NetCDF, converting depth coordinates, and calculating RMSE against observational data for scientific analysis.

Conducts Difference-in-Differences causal analysis to identify demographic drivers of behavioral changes with p-value significance testing for A/B testing and policy evaluation.

Prepares datasets for machine learning through categorical encoding, feature scaling, and feature selection to enhance model performance.

Extracts frames from video files and saves as individual images using OpenCV for video data processing.

Offers spatial utilities for hexagonal grid operations including distance calculation, neighbor finding, and spatial queries in offset coordinate systems.

Detects speech segments in audio using VAD tools like Silero VAD and SpeechBrain for preprocessing tasks including speaker diarization and silence filtering.

Converts SQLite database schemas and map data into structured JSON for analysis and integration.

Transcribes audio to text using Whisper models, aligning timestamps with diarization for speaker-labeled subtitles.

Extracts Locational Marginal Prices (LMPs) from DC-OPF solutions using dual value analysis for power grid pricing.

Handles parsing of power system network data including bus, generator, and branch information for power flow analysis.

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

Detects speech segments in audio using VAD tools for preprocessing tasks like speaker diarization and silence filtering.

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

Runs Python ML model training on cloud GPUs (A100/T4/A10G) via Modal, handling setup, GPU selection, and data workflows.

Provides a Python API for applying state-of-the-art machine learning models to seismic data, enabling phase picking, earthquake detection, and waveform denoising.

Implements mHC (Manifold-Constrained Hyper-Connections) for deep network training stabilization using Sinkhorn-Knopp on residual connections, based on DeepSeek's 2025 paper.

Performs DC power flow analysis for electrical transmission networks, including susceptance matrix construction and line flow calculations.

Enables seamless download of earthquake research data from FDSN data centers using ObsPy's client API for seismological analysis.

Builds unified multi-level product category taxonomies using AI clustering and intelligent naming from e-commerce category paths.

Analyzes images and video sequences using OpenAI's multimodal GPT models for content understanding and extraction.

Aligns Python version and dependencies from requirements.txt/environment.yml for reproducible NLP research code installation.

Builds unified multi-level e-commerce category taxonomies using embedding-based clustering and word frequency analysis for intelligent naming.

Enables creation, editing, and analysis of spreadsheets including formulas, formatting, and data visualization for data processing and reporting.