# Sintoyia Partimo

Sintoyia Partimo is a remote worker on Himalayas, Senior Data Scientist at Dell Technologies, based in United States.

Source: https://himalayas.app/@sintoyiapartimo

```text
Senior Data Scientist at Dell Technologies who improved supply chain forecast accuracy, saving $8M in inventory costs.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 64k+ USD |
| Job categories | Machine Learning Engineer, Technical Lead, Software Engineer |
| Skills | Machine Learning, predictive modeling, Supply Chain Forecasting, MLOps, Statistical Modeling, Bayesian Inference (PyMC), A B Testing, Numerical Analysis, Mathematical Modeling, Algorithm Design, Linear Algebra, Optimization, Time Series Analysis, Natural Language Processing, LLM Fine tuning |

## About

```text
At Dell Technologies, I lead predictive modeling for global supply chain demand forecasting, reducing forecast error by 15% and saving $8M in inventory costs. I also architect AWS SageMaker and Kubernetes MLOps pipelines for operational telemetry.

At Southwest Research Institute, I developed numerical solvers for fluid dynamics simulations, improving runtime by 40%, and built aerospace telemetry models that reached 95% anomaly detection recall while reducing false alarms by 30%. I also collaborated with PhD mathematicians on a stochastic PDEs paper published in AIAA Journal.

Earlier, at National Instruments, I implemented linear algebra routines for LabVIEW’s math toolkit and optimized sparse matrix operations. My research at Rice University and Texas Advanced Computing Center included persistent homology, climate-model manifold learning, and parallel matrix multiplication kernels.
```

## Experience

### Senior Data Scientist (current)

[Dell Technologies](https://himalayas.app/companies/dell). Jan 2023 - Present

```text
Lead development of predictive models for global supply chain demand forecasting, reducing forecast error by 15% and saving $8M in inventory costs. Architect end-to-end MLOps pipelines on AWS SageMaker with Kubernetes orchestration, processing over 500 TB of operational telemetry data.
```

Skills: predictive-modeling, MLOps, AWS-Sagemaker, Kubernetes, Statistical-Modeling, A-B-Testing, Mentorship

### Data Scientist

Southwest Research Institute. Jan 2021 - Jan 2023

```text
Developed high-performance numerical solvers for fluid dynamics simulations, improving runtime by 40% with C++ and Python. Built predictive models for aerospace telemetry, achieving 95% anomaly detection recall and reducing false alarms by 30%.
```

Skills: C++, Python, Numerical-Analysis, predictive-modeling, Anomaly-Detection, Research

### Software Engineer

National Instruments. Jan 2019 - Jan 2021

```text
Implemented linear algebra routines for LabVIEW's math toolkit, used by 10k+ engineers. Optimized sparse matrix operations, reducing memory footprint by 35% for large-scale simulations.
```

Skills: Linear-Algebra, C++, LabVIEW, Sparse-Matrices, Optimization, Training

### Graduate Research Assistant

[Rice University](https://himalayas.app/companies/rice-university). Jan 2018 - Jan 2019

```text
Designed and taught recitations for Calculus III and Linear Algebra (200+ students, teaching rating 4.8/5). Researched topological data analysis for high-dimensional datasets; implemented persistent homology algorithms.
```

Skills: Teaching, Topological-Data-Analysis, Persistent-Homology, Research

### Undergraduate Research Intern

Texas Advanced Computing Center. Jun 2017 - Aug 2018

```text
Developed parallel matrix multiplication kernels for Frontera supercomputer, achieving 70% scaling efficiency. Contributed to open-source linear algebra library for Python (SciPy) – fixed numerical stability issues in sparse solvers.
```

Skills: Parallel-Computing, C++, Python, Scipy, Numerical-Stability

## Education

### Rice University

Master of Science, Applied Mathematics. 2018 - 2020. Grade: 3.94

```text
M.S. in Applied Mathematics from Rice University, Houston, TX, with a GPA of 3.94.
```

### The University of Texas at Austin

Bachelor of Science, Mathematics & Computer Science. 2014 - 2018

Activities and societies: Dean's List, Turing Scholar

```text
B.S. in Mathematics & Computer Science from The University of Texas at Austin, with honors including Dean's List and Turing Scholar.
```

### Texas Academy of Mathematics & Science (TAMS)

High School Diploma, STEM. 2012 - 2014

```text
High School Diploma (STEM track) from Texas Academy of Mathematics & Science, an early college program.
```

## Tech stack

- Kubernetes
- NumPy
- Pandas
- Python
- Java
- C++
- TensorFlow
- PyTorch
- Git
- Docker
- SQL
- SciPy
- LabVIEW
- AWS

To contact Sintoyia, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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