Mariana Menchero
Senior Forecaster at Nixtla
Greater Mexico City, State of Mexico
Summary
🤩
Rockstar🎓
Top SchoolMariana Menchero is a Senior Forecaster with six years of experience applying time series forecasting and inventory optimization to large retailers across SKU-store networks. She builds production forecasting systems and authored nixtlar, an R package on CRAN that connects to Nixtla's TimeGPT, while contributing documentation to the popular Nixtla/statsforecast project to make complex models more accessible. At Ritter Dragon she led demand estimation for thousands of SKUs and stores, introduced a new hierarchical forecasting approach, and translated model insights into actionable inventory plans with sales and services teams. Trained in applied mathematics, she blends rigorous quantitative research with practical product delivery and a knack for turning state-of-the-art methods into clear documentation and usable tools.
6 years of coding experience
6 years of employment as a software developer
Real World Risk InstituteB.S. Applied Mathematics, B.S. Applied Mathematics at Instituto Tecnológico Autónomo de México
English
Github Skills (3)
documentation10
time-series9
python7
Programming languages (3)
Github contributions (5)
Nixtla/statsforecast
Jul 2022 - Jan 2023
Lightning ⚡️ fast forecasting with statistical and econometric models.
Role in this project:
Technical Writer
Technical WriterContributions:23 reviews, 35 commits, 30 PRs in 5 months
Contributions summary:Mariana's commits primarily focus on adding and improving documentation within the repository. The changes include adding models documentation, specifically for the ETS model, and updating documentation within the core and models sections. The user appears to be dedicated to enhancing the clarity and accessibility of the project's documentation.
forecastingneuralprophetpythonforecasttime-series
Nixtla/nixtlar
Nov 2023 - Feb 2025
R SDK for TimeGPT
Contributions:7 releases, 51 PRs, 144 pushes in 1 year 3 months
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