Analysis

Fit OLS, GLM, mixed and ARIMA models with statsmodels and check diagnostics

Query US Treasury fiscal data for national debt, auctions and interest rates

Analyze larger-than-memory Parquet, CSV and HDF5 tables with Vaex

Store and query chunked N-D arrays with Zarr, including S3 and sharding

Audit statistical reporting in manuscripts, covering replication, tests and uncertainty

Build an evidence-backed knowledge graph from documents, notes and code repositories

Analyze local Q&A session logs and write an auditable weekly report in Markdown

Audit spreadsheet formulas and model integrity checks like balance and cash tie-out

Clean messy spreadsheets by fixing casing, dates and numbers stored as text

Pull GitHub Copilot usage metrics for orgs and enterprises with gh and the REST API

Clean raw credit data and screen variables before pre-loan risk modeling

Parse Simplicite platform logs from raw text into filtered, structured JSON

Validate JSON schema consistency, then shuffle the entries randomly and safely

Find the most expensive users in AI observability and explain their LLM cost drivers

Pick the right typed runner or HogQL query for PostHog product analytics data

Seed a data catalog with canonical metrics, certified tables and table relationships

Choose a data source and tool for a backtest, data fetch or research task

Run ADF, cointegration, GARCH and bootstrap tests on financial time series

Answer data questions from quick metric lookups to full stakeholder analyses

Profile a new dataset's shape, quality and patterns

Build a repeatable recurring report with metrics, a chat summary and XLSX

Deliver a saved recurring report pack on schedule with business context

Descriptive stats, trends, outliers and significance tests

QA an analysis for methodology, calculation accuracy and bias before sharing

Segment SKUs by value and demand variability to set a planning policy per cell

Scale pandas and NumPy work past memory with parallel DataFrames and task graphs

Analyze Excel spreadsheets with pivot tables, charts and summary statistics

Measure forecast accuracy with WMAPE, bias and value added over a naive baseline

Compute on-time in-full delivery metrics and find where late orders concentrate

Analyze large DataFrames fast with Polars lazy queries, joins and Parquet files

Build Pareto rankings of downtime, defects and complaints to find root causes

Size or audit safety stock with z-score formulas and empirical service tests

Compare two Google Sheets tabs and spot the differences between them

Run GPU-accelerated groupby, profiling and anomaly checks on tables with cuDF

Analyze CSV files and return concise numeric summaries of their contents

Challenge plans for training data rights, data architecture and data team hires

Decide data rights, warehouse versus lakehouse and data team structure for startups

Profile datasets for missing values, outliers and inconsistencies with a fix plan

Size A/B tests, run causal inference and build predictive models in Python

Run hypothesis tests, A/B result analysis and sample size calculations

Scaffold clean Jupyter notebooks for experiments, exploration and tutorials

Write Python data analysis code with BigQuery DataFrames (BigFrames)

Trace the downstream blast radius of a broken BigQuery table or view using lineage

Summarize data lineage graphs into readable reports for BigQuery and Cloud Storage

Configure Google Analytics accounts, properties, streams and conversion events via API

Run custom Google Analytics reports and metric queries with the Data API

Design an agentic data science architecture across Google Cloud products

Design governed agentic analytics with Knowledge Catalog and Managed Spark

Write a weekly metrics report from Postgres with plain-language commentary on changes