tnyein15
Remote: Yes, hybrid in Vancouver works too
Willing to relocate: Yes, within Canada
Work authorization: Canada. I'm on an open work permit (no sponsorship needed) and my PR application is in its final stretch.
Technologies: Databricks (Spark, Delta Lake), SQL, Python/PySpark, dbt, ClickHouse, DSPy, R, Metabase
Résumé/CV: Email me and I'll send it
LinkedIn: linkedin.com/in/thet-h-nyein
Email: [email protected]
I'm a data analyst with an MSc in Statistics. For the last two years I was the person behind the numbers at a health tech startup, from late seed to Series B. Most of the job was taking a vague question from the CEO, CFO or a clinical lead and turning it into something they could act on.
A few things I worked on:
- Built the Databricks pipelines and a dbt project on ClickHouse behind about 10 dashboards that the billing and triage teams ran their day on.
- When monthly revenue dropped, I dug in and found two causes: a program policy change, and a billing cycle that didn't line up with the calendar months our audit tool assumed. A teammate used that to re-approve some rejected patients and win back part of it. I walked the CFO through the whole thing.
- Used an LLM (DSPy on Databricks) to recover a missing field from call, voicemail and text logs, so a billing workflow could be audited.
- Checked whether a care management program reduced patient visits. It didn't, and I reported it exactly like that.
Earlier on I did meta-analysis in outcomes research, and my MSc thesis was Bayesian models for spatial epidemics.
I'm open to full-time, contract, or a small project (a two-week look at your metrics, say). If you have data that nobody quite trusts yet, I'd like to hear about it.
Fluent in English and Burmese.