Sales exports, spreadsheets and database tables pile up, and nobody has time to turn them into decisions. I clean your data, work out the numbers that matter, and give you a clear dashboard plus a short report that explains what the data is telling you.

This is for you if • You make the same report by hand every week or month • You want to see your KPIs in one place instead of ten spreadsheets • You need to know what changed, why, and what looks unusual • You want a dashboard you own, without per-seat license fees

What you receive • Your data cleaned first: duplicates removed, types and dates fixed, missing values handled, so the numbers are right • The KPIs you care about: totals, breakdowns, growth, top items, averages and percentiles • Outliers and unusual values flagged automatically, with the reason • An interactive dashboard with filters, built in Python (Streamlit and Plotly) • A written findings report (PDF or HTML) in plain English, with the key charts • The cleaned dataset and the Python code, so you can re-run it on new data

Options you can add • Data sources: CSV, Excel, JSON, Parquet, or a PostgreSQL or MySQL database • Sharing: an interactive app on your computer or server, or a single HTML file that opens in any browser and can be e-mailed • Fresh data: re-run on each new file with one command, or connect to your database on a schedule • Tracking over time: compare each new file with the last one and get an alert when something shifts • Data-quality score: a 0-100 score that shows how complete and reliable your data is, with every issue explained • Exports: cleaned tables and summary numbers in Excel or CSV for your team

You share a sample of your data and the questions you want answered.

I send a written plan: which KPIs, how each one is calculated, and which charts you'll get. Nothing starts until you approve it.

I clean the data and check the totals against your source.

I build the dashboard and the findings report and share progress as I go.

We review it together and I make your changes.

Proof you can check My open-source data-quality toolkit has a Streamlit dashboard, HTML and PDF reports, outlier detection and drift monitoring, with 196 automated tests and a coverage floor enforced in CI. https://github.com/mojtaba-py-code/smart-data-quality-monitoring-system

My log-analytics platform computes trends and P50/P95/P99 percentiles and serves a self-contained dashboard, with 604 automated tests and 87% coverage. https://github.com/mojtaba-py-code/big-data-log-analytics-platform

Not included Power BI, Tableau or Looker dashboards, hosting or cloud fees (paid directly by you), and data that requires logging in to third-party websites.

Ready to start? Send me a message with a short description of your data and the questions you want answered, and I'll reply with a plan before you order.