We build robust scripts, applications, and workflows for data collection, processing, analysis, simulation, and visualization documented for long-term maintenance and reproducibility.
Parsers for CSV/Excel/JSON/SQL; schema validation; missing/outlier rules.
Requests/async, rate-limit handling, polite scraping, rotating proxies.
NumPy/Pandas, SciPy/statsmodels, tidyverse; custom utilities.
Makefiles/Invoke/GitHub Actions; scheduled jobs and alerts.
Matplotlib/Plotly/ggplot; publication-ready figures and exports.
Flask/FastAPI/Streamlit/Shiny (lightweight research tools).
Docker/venv/renv; lockfiles; deterministic seeds; runbooks.
CLI tools, wheels, internal packages with semantic versioning.
| Area | Examples | Notes |
|---|---|---|
| Data IO | Pandas/pyarrow, readr/dbplyr, SQLAlchemy | Typed schemas, validators, profiling |
| Testing | pytest/testthat | Fixtures, coverage, CI runners |
| APIs | FastAPI/Flask, Plumber | Auth, pagination, rate limits |
| Scraping | requests/asyncio, rvest | Robots.txt respect, retries, backoff |
| Viz | Matplotlib/Plotly, ggplot2 | Export to PNG/PDF/SVG, journal sizes |
| Repro | Docker/venv/renv | Pin deps; lockfile; checksum data |
All code is versioned, documented, and delivered with runnable examples.
One-off script/notebook + docs + small test set.
Ingestion → cleaning → analysis + CI + runbook.
Lightweight API/app + auth + deploy guide + tests.
Pricing varies with complexity, integrations, and turnaround. You’ll receive a clear plan after discovery.
Use cases, data sources, constraints, deployment target.
Architecture, tech stack, milestones, acceptance tests.
Iterative implementation with version control & demos.
Unit/integration tests, performance checks, fixes.
README, usage examples, configs, runbooks.
Code, env files, containers, and change log.
Primarily Python, R, JavaScript/Node, Bash, and SQL others on request.
Yes GitHub/GitLab/Bitbucket and common branching workflows.
Yes optional; includes Dockerfile, compose examples, and usage notes.
Yes with respect for robots.txt/ToS, backoff, retries, and data quality checks.
Yes representative tests are standard; we can set up CI runners if needed.
Yes REST/GraphQL; we manage auth, pagination, and rate limits.
Yes Streamlit/Shiny/Flask/FastAPI for lightweight research tools.
You’ll receive a README, usage examples, config/env instructions, and a change log.
Small scripts: days; pipelines/apps: weeks with milestone plan.
By complexity, integrations, testing depth, and timeline; we quote after discovery.