Jehu Lara
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Jehu Lara

Quality & Analytics Engineer

I turn operational data into auditable decisions.

I build quality, operations, and analytics work around explicit assumptions, reproducible evidence, and clear decision boundaries.

View selected workGitHub (opens in a new tab)LinkedIn (opens in a new tab)

Public evidence available: two versioned open-source cases and one report-backed DMAIC case.

02 / Selected work

Selected work

Three published cases make their evidence, limits, and current verification state inspectable.

1 of 3

Power BI Process Health page for the public SECOM dataset.
Published2026

QualityOps

Independent open-source technical project

Auditable manufacturing-data analysis across Python, PostgreSQL, SQL, Power BI, and CI.

Python · PostgreSQL · SQL · Power BI · CI

Read the case study

03 / Working principles

Evidence before confidence

  1. 01

    Clarity

    Define the question, the vocabulary, and the decision boundary before adding tools.

  2. 02

    Traceability

    Connect public statements to versioned sources that another person can inspect.

  3. 03

    Validation

    Reconcile results across independent layers and record the assumptions that shape them.

  4. 04

    Honest limits

    State what the evidence cannot establish as visibly as what it supports.

04 / Verifiable capabilities

A practical quality-and-analytics toolkit

  • Manufacturing-data quality review
  • Python and SQL analytical workflows
  • PostgreSQL persistence and reconciliation
  • Statistical validation against a reference tool
  • Decision-focused Power BI communication
  • Automated checks and versioned evidence

05 / About

A portfolio built around judgment

Quality & Analytics Engineer is my professional positioning, not a claim about a current employer or job title. I am targeting Quality Engineer, Manufacturing Data Analyst, and Analytics Engineer roles. This portfolio shows how I frame analytical risk, make assumptions reviewable, and stop conclusions at the edge of the evidence.

Quality Engineer · Manufacturing Data Analyst · Analytics Engineer

06 / Contact

Review the work or start a conversation

Email is available for direct contact, GitHub contains source and versioned evidence for the open-source cases, the DMAIC case links its full report, and LinkedIn is available for professional contact.

Jehulara422@gmail.com (opens in a new tab)Visit Jehu Lara on GitHub (opens in a new tab)Connect with Jehu Lara on LinkedIn (opens in a new tab)
Work