HomeFor your teamData
For your teamData
If you have data, here is how I would start.
I turn messy data into decisions. I taught myself SQL and Python on my own business, built a public dashboard from real datasets with every analysis checked against its source, and I am Google Data Analytics certified. This is how I would spend my first 90 days on your team.
- Lane
- Data
- Code
- SQL (PostgreSQL, BigQuery, MySQL), Python, R and RStudio
- Dashboards
- Tableau, Looker Studio, Power BI
- Built
- A public data dashboard: ten analyses, each with its source, period and licence
- Also
- Google Data Analytics Professional Certificate
On wide screens the first 90 days is drawn as a trajectory that follows your scroll, with three stages: T+30, T+60 and T+90. Each stage is also written out below as text.
T+0 to T+9030-60-90 plan
The first 90 days
What I would do in a new data role, in the order I would do it. A plan, not a promise about any one employer.
-
T+30 · Learn
Learn the data and the questions
Find where each dataset comes from, how it is cleaned and who asks what of it. Write down the definitions so everyone counts the same way.
On my dashboard, every analysis lists its source, period, licence and caveat.
-
T+60 · First deliverable
Deliver one analysis or one fix
One analysis with its question, query, chart and caveat, or a fix for a report that is slow, wrong or ignored. The checks sit next to the result.
Each analysis on my dashboard was checked against its primary source.
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T+90 · Own it
Own a recurring report
Run one report or dashboard on a schedule, with a refresh, checks and a short note on what changed. Document it so it survives a handoff.
My dashboard shows when its data was refreshed and when each source releases next.
- T+0 Day one
- T+30 Learn
- T+60 First deliverable
- T+90 Own it
02Work to read first
The three cases and three analyses closest to this work.
Case studies My own work and my past roles
Case · Data pipeline
Ten public datasets, cleaned, checked and queryable
Python scripts clean each source and write JSON and parquet; the dashboard draws the charts and runs live SQL in the browser.
Python, SQL, ECharts, DuckDB-WASM
Read the case studyCase · E-commerce data
SQL and Python pipelines behind my own business
Pricing, search performance and conversion tracked across hundreds of pages, with Tableau and Looker Studio dashboards.
Since March 2023 · GA4, Search Console, Ahrefs, Semrush
Read the case studyCase · Analysis
Finding the stock that was not moving
Sales data analysis in Excel that found $300,000 of non-performing inventory in a $2,000,000 portfolio.
May 2014 to Aug 2016 · Inventory Manager
Read the case study
Analyses on public data See all ten on the dashboard
Data · Public data, not my business
Where is AI adoption growing fastest?
23.8% of US businesses use AI in any business function (September 2026 cycle, after Census reworded the question).
Census BTOS · US Government data · Sep 2023 to Sep 2026
Open on the dashboardData · Public data, not my business
What do developers trust about AI tools?
50.6% of professional developers use AI tools daily, and 4.7% of those daily users highly trust the output.
Stack Overflow Developer Survey 2025 · ODbL 1.0 · fielded May 29 to Jun 23, 2025
Open on the dashboardData · Public data, not my business
Which student-loan servicers answer complaints on time?
63.8% of 62,013 student-loan complaints are about dealing with the lender or servicer.
CFPB Consumer Complaint Database · CC0 · Jan 2023 to Sep 2026
Open on the dashboard
03Matching skills
The skills and tools I would use.
Query and code
- SQL (PostgreSQL, BigQuery, MySQL)
- Python
- R and RStudio
- Excel (pivot tables, VLOOKUP, XLOOKUP)
- Google Sheets
Dashboards
- Tableau
- Looker and Looker Studio
- Power BI
- Weekly reporting on outreach, conversion rates and revenue
Method
- Google Data Analytics Professional Certificate
- Analyses checked against primary sources
- GA4 and Google Search Console
- AI tools used regularly for research and writing
Every skill with its tools and proof is on the Skills page, and the full route is on About.
04Contact
Tell me which dataset or report to look at first.
Open to e-commerce, data and operations roles. Los Angeles or remote.