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Dahlia Saba

Dahlia Saba

Electrical Engineering & Computer Science

Placement: PingThings - Machine Learning Intern

Poster - Detecting PMU Data Quality Issues
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Dahlia is a rising junior studying Electrical Engineering & Computer Science with an interest in machine learning and in sustainability. She is excited to merge these two interests this summer at PingThings in applying machine learning and data analysis to the energy grid. This past semester, she has worked with UC Berkeley’s Computational Imaging Lab in developing algorithms for estimating an image’s illumination angle. She is also passionate about education, and has worked as a uGSI for an introductory electrical engineering course at Berkeley. In her free time, Dahlia enjoys hiking, knitting, and cooking new foods.


04 Aug

[Blog #4] End of a Chapter

In my last two weeks of work at PingThings, I primarily focused on wrapping up my work on data quality distillers.

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22 Jul

[Blog #3] Exploring Data Quality

These past few weeks have been arguably my favorite so far because as I have progressed further into the projects I've been working on, I've been able to learn a lot about how the platform works, in part by listening in on paper discussions and through formal explanations, but even moreso by work

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28 Jun

[Blog #2] Deep Dive into DISTIL

These past two weeks, I’ve started working with a system called DISTIL, which makes it possible to quickly perform analytics on a set of input data streams from sensors on the power grid and output results in almost real time.

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21 Jun

[Blog #1] Getting into the Ping of Things

I began my internship at PingThings two weeks ago. PingThings provides a platform for energy companies to process their large amounts of sensor data efficiently through their uniquely structured database, which uses a tree structure to make it very fast to calculate the aggregate metrics (e.g.

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31 May

[Blog #0] Introduction

Hi there! My name is Dahlia, and I am a rising junior studying electrical engineering and computer science at UC Berkeley. This summer, I am excited to be working as the Machine Learning Intern at PingThings. In my free time, I enjoy cooking, knitting, and going on long walks around Berkeley.

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