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Michelle Lagunas

@michellelagunas

Senior Data Scientist building production ML with causal inference, rigorous experimentation, and continuous drift monitoring.

Mexico

Message

What I'm looking for

I’m looking to build and own production ML that’s causally grounded and continuously validated—partnering with engineering to ship reliable pipelines, drift monitoring, and cloud automation, with space to deepen experimentation and modeling approaches.

I’m a physicist who applies causal inference and rigorous experiment design as the backbone of every statistical model, then carries that discipline into production machine learning. I designed and shipped a production lead-scoring and routing model (SLAI) from an open research question to a steady-state system running on live traffic, partnering closely with engineering to get it there.

I focus on continuous verification instead of assumptions by instrumenting model-drift monitoring with the Population Stability Index (PSI) so real-world behavior stays aligned as conditions change. I’ve also built server-side attribution pipelines (Meta Conversions API) with event deduplication, migrated automation from Windows Server to Linux/Docker to remove single points of failure, and stood up AI data pipelines (transcription → ML) for Compliance and HR across Azure/M365 with cybersecurity hardening.

Experience

Work history, roles, and key accomplishments

Current

Quantum Data Scientist

Current

QuetzalBits (QBits)

Feb 2025 - Present (1 year 5 months)

Worked on quantum-enhanced data science using statistical and machine-learning models augmented with quantum statistics. Provided agile/lean consultancy to help scale startups using structured knowledge management.

Quantum Enhanced Data Science Quantum Statistics Statistical Modeling Machine Learning Agile Lean Zettelkasten

Current

Data & IT Manager

Current

Brigante Law Group

May 2024 - Present (2 years 2 months)

Designed and shipped SLAI, a production lead-scoring and routing model that qualifies inbound leads before they reach the CRM and runs in steady state. Built a server-side Meta Conversions API pipeline with event deduplication and instrumented model-drift monitoring using the Population Stability Index (PSI).

Machine Learning Lead Scoring Population Stability Index (PSI)Python SQL Deduplication API Integration Azure Blob Storage Linux Docker Agile Lean Kanban Zettelkasten

Cloud Engineer

Alibaba Cloud

Nov 2022 - Nov 2023 (1 year)

Provided cloud architecture and networking expertise, along with IT support and delivery for cloud infrastructures.

Cloud Architecture Networking IT Support

Education

Degrees, certifications, and relevant coursework

UNAM · Facultad de Ciencias

Quantum Technologies Diploma, Quantum Physics

2023 - 2025

Activities and societies: Quantum algorithms (Qiskit) and superconducting circuits.

Completed a Quantum Technologies Diploma program at UNAM (Facultad de Ciencias) from Nov 2023 to Feb 2025, covering advanced quantum physics and quantum algorithms (Qiskit).

UNAM · Facultad de Ciencias

B.Sc. Physics, Physics

2012 - 2019

Earned a B.Sc. in Physics at UNAM (Facultad de Ciencias) from 2012 to 2019, with a thesis on the dynamics of complex systems and their information behavior.