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DATA · MACHINE LEARNING · MLOPS

Dereck Mendez — Building intelligent systems from data to decisions.

I build data and machine learning solutions that turn real-world problems into measurable, reproducible outcomes — from analysis and experimentation to reliable systems.

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FEATURED PROJECTS

End-to-end projects solving real problems.

A selection of projects where I combine data analysis, statistical reasoning, machine learning and engineering to move from a business question to a working solution.

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01
MLOps · ClassificationCompleted
Telco Churn MLOps

An end-to-end machine learning project for identifying customers at risk of churn, with a focus on reproducibility, experiment tracking, testing and production-oriented workflows.

PythonScikit-learnMLflowDVC
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02
Forecasting · Machine LearningCompleted
Operational Demand Forecasting

A forecasting system designed to predict operational demand and service-related metrics, combining historical patterns, calendar effects and machine learning to support planning and resource allocation.

PythonPandasXGBoostMLflow
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03
Data Analytics · Business IntelligenceCompleted
Operational Analytics & BI

An operational analytics project that transforms service data into dashboards designed to understand demand, waiting times, SLA performance and operational bottlenecks.

PythonPandasNumPyMatplotlib
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Tools & technologies

Tools I use to analyse data, build models and turn experiments into reproducible systems.

PythonPython
SQLSQL
Power BIPower BI
ExcelExcel
Data StudioData Studio
StreamlitStreamlit
PandasPandas
NumPyNumPy
MatplotlibMatplotlib
SeabornSeaborn
Scikit-learnScikit-learn
XGBoostXGBoost
MLflowMLflow
DVCDVC
PanderaPandera
PyTestPyTest
FastAPIFastAPI
DockerDocker
GitGit
GitHubGitHub
GitLabGitLab
BEHIND THE DATA

Hi, I'm Dereck.

My path into data has been shaped by a combination of business experience, analytics and software development. I enjoy understanding the problem behind the data before thinking about the model.

Today, I'm focused on growing as a Data Scientist and Machine Learning Engineer, with a particular interest in the engineering practices that make ML systems reproducible, maintainable and useful beyond experimentation.

More about me
Dereck Mendez
3+
Years working with data & analytics
PROFESSIONAL JOURNEY

From business experience to data and ML.

Full experience
JUN 2026 - PRESENT
Engineering Consultant
ACF Technologies LATAM

Currently working at the intersection of analytics, software and data-driven solutions, while continuing to develop my expertise in Machine Learning and MLOps. My current role lets me understand real business problems and connect them with technical solutions, while further expanding my experience in data workflows, analytics and engineering.

JUL 2023 - JUN 2026
Training & Development Coordinator
Almacenes Vidrí S.A. de C.V.

Consolidated my transition toward a more analytical view of the business, combining people management with People Analytics, automation and Business Intelligence. I built report automations with Python and dashboards in Power BI and Looker Studio to turn data into insights and KPIs that supported process improvement and decision-making. Working with data and business needs across Guatemala, Costa Rica and El Salvador broadened my regional perspective and strengthened my ability to connect people data with real business goals.

CAPABILITIES

What I can actually do.

01
Data Analysis
Turn business questions into structured analyses, using data to understand what is happening and why.
02
Data Visualization
Communicate analytical results through clear dashboards and visualizations designed for decision-making.
03
Machine Learning
Build and evaluate predictive models with strong baselines, appropriate validation and metrics aligned with the problem.
04
Forecasting
Model temporal patterns and evaluate forecasts using validation strategies that reflect how predictions will be used in practice.
05
MLOps
Build reproducible ML workflows around experiment tracking, versioning, testing, packaging and automated retraining.
06
Software Engineering for ML
Develop structured, tested and maintainable Python code, APIs and pipelines instead of isolated scripts.

Let's build something meaningful together.

I'm open to opportunities where I can contribute across Data Science, Machine Learning, analytics and the engineering behind reliable data products.

Whether you're looking for someone to analyse a problem, build a model or help turn an experiment into a more reliable system, I'd be happy to connect.