Nestor Yuri Sanchez Guadarrama
Verified Expert in Engineering
Data Scientist and Software Developer
Edinburgh, United Kingdom
Toptal member since March 23, 2022
Nestor has a solid academic background in machine learning and industry experience as a software engineer and data scientist. He built a production-level Python package for power system adequacy modeling used by researchers at the Alan Turing Institute, a GCP-based end-to-end ML pipeline for generative deep learning models, and ML-based products to understand the impact of PR campaigns. Nestor enjoys staying up-to-date with the latest technologies in the data science and MLOps spaces.
Portfolio
Experience
- Statistics - 10 years
- Machine Learning - 8 years
- Python - 7 years
- Software Engineering - 7 years
- R - 7 years
- Linux - 7 years
- Research - 4 years
- Google Cloud Platform (GCP) - 2 years
Availability
Preferred Environment
Linux, Python, Google Cloud Platform (GCP), R
The most amazing...
...model I have worked on enabled a 4% throughput increase in a high-value production process.
Work Experience
Senior Machine Learning Engineer
Lynceus
- Designed and deployed a production RAG system on AWS, which provides live assistance to process and maintenance engineers.
- Redesigned and maintained the company’s main proprietary machine learning library, specializing in semiconductor manufacturing applications.
- Mentored data scientists and established coding standards across projects.
- Developed models for smart quality control in specific manufacturing processes, reducing sampling by up to 25% without degrading quality metrics.
Back-end Engineer
Cellsight
- Maintained the back-end codebase and ETL pipelines continuously using Python and Bash.
- Implemented new features and optimized ETL pipelines.
- Created documentation for the legacy codebase and swapped out old or deprecated libraries.
Research Software Engineering Consultant
The Alan Turing Institue
- Produced a production-level Python package for power system adequacy modeling intended to be used by researchers on projects outside the scope of my Ph.D.
- Engaged with researchers to familiarize them with the package functionality.
- Collaborated on developing a decision support system for risk management and capacity procurement in the context of Great Britain's power system.
Academic Consultant
National Grid
- Produced an analysis of near-term security of supply risks for the power grid under different future scenarios.
- Engaged with stakeholders and other academic consultants to understand their needs in terms of software and modeling.
- Produced a solid codebase and ensured a solid and reproducible analysis through good engineering practices.
ML Engineering Consultant
Wella Online
- Prototyped a new data service in the form of an ML-based student failure prediction pipeline.
- Engaged with the client and product teams frequently to incorporate their feedback into the project.
- Deployed on AWS as a RESTful API using Python's Falcon and a MongoDB back end.
Software Developer
Sinnia
- Quantified the impact of marketing campaigns using network models and NLP.
- Created ML models for demographic feature inference of Twitter users.
- Collaborated directly with clients to design ML-backed dashboards for real-time audience segmentation.
Data Scientist
Mimoni
- Tested statistical hypotheses to better understand the customers.
- Produced the methodology for a weekly KPI forecast report intended for executive-level management.
- Assisted in improving the quality of credit scoring models.
Experience
Generative Models for Typefaces
https://github.com/nestorSag/textfont-aiProduction-level Code for Power System Adequacy Modeling
https://github.com/nestorSag/riskmodelsBootstrapping a Kubernetes Cluster on EC2 from Scratch
https://github.com/nestorSag/auto-k8-clusterEducation
Ph.D. in Statistics
University of Edinburgh - Edinburgh, UK
Master's Degree in High Performance Computing
University of Edinburgh - Edinburgh, Scotland
Bachelor's Degree in Informatics and Applied Mathematics
Mexico Autonomous Institute of Technology - Mexico City, Mexico
Certifications
Professional Data Engineer
Google Cloud
Structuring Machine Learning Projects
Coursera
Skills
Libraries/APIs
Pandas, NumPy, Scikit-learn, TensorFlow
Tools
Apache Beam, Ansible, Terraform, GNU Make, Amazon SageMaker
Languages
Python, R, SQL, Python 3, Bash, C, Scala
Platforms
RStudio, Linux, Google Cloud Platform (GCP), Kubernetes, Amazon Web Services (AWS)
Industry Expertise
Project Management
Frameworks
RStudio Shiny, Spark
Paradigms
Parallel Programming, CRISP-DM
Storage
MongoDB
Other
Statistics, Mathematics, Machine Learning, Data Visualization, Data Science, Statistical Data Analysis, Data Analysis, Data Analytics, Data Extraction, Research, Software Engineering, Natural Language Processing (NLP), Time Series Analysis, Forecasting, Generative Pre-trained Transformers (GPT), IT Project Management, Distributed Systems, Big Data, Big Data Architecture, Cloud Computing, Data Engineering, Machine Learning Operations (MLOps), MLflow, Large Language Models (LLMs)
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