3. Data, Science & AI

Cleans messy tabular data through deduplication, missing value imputation, outlier handling, and text processing.

Provides a Python API for applying ML models to seismic data, enabling phase picking, earthquake detection, and waveform analysis.

Converts SQLite database schemas and map data into structured JSON for schema exploration and relationship analysis.

Summarizes advantages and disadvantages of seismic phase picking methods for earthquake event detection, based on leading seismology research.

Detects anomalies in time series data using Meta's Prophet framework, identifying unusual trends and patterns for data analysts.

Summarizes advantages and disadvantages of earthquake event detection and phase picking methods based on 2025 Earthquake Catalog Workshop research.

Downloads earthquake research data from FDSN data centers using ObsPy's client API for seismological research.

Analyzes video content to count objects, detect pedestrians, and track vehicles using Google Gemini API for surveillance and monitoring applications.

Provides core API utilities for parsing and manipulating seismological data formats within ObsPy, enabling integration with signal processing and modeling workflows.

Analyzes images and multi-frame sequences using OpenAI's vision models for visual content understanding and extraction.

Extracts locational marginal prices (LMPs) from DC-OPF solutions for nodal electricity pricing, reserve clearing, and price impact analysis in power systems.

Transcribes audio to text using Whisper models with accuracy/speed options, aligning timestamps with speaker diarization for labeled subtitles.

Strategy for optimizing item placement on spatial maps to maximize objectives while satisfying constraints using computational methods.

Efficiently trains GPT-2 scale language models (124M parameters) on a single GPU with mixed precision and HuggingFace dataset support.

Extracts locational marginal prices (LMPs) from DC-OPF solutions for nodal electricity pricing, reserve clearing, and price impact analysis in power systems.

Enables accurate retrieval of fund and stock information using fuzzy name matching despite spelling variations or incomplete data.

Algorithm for clustering seismic phase picks into earthquake events using the GaMMA method in seismological analysis.

Runs Python ML training on cloud GPUs (A100/T4/A10G) via Modal, including setup, data handling, and result management.

Automatically clusters audio segments to identify and separate speakers in conversations, enabling speech diarization.

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

Guides selection and implementation of clustering algorithms (KMeans, Hierarchical) for speaker embedding grouping, including normalization and use-case scenarios.

Detects speech segments in audio using Voice Activity Detection (VAD) tools for preprocessing in speech analysis applications.

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

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