Cloud Computing

Chirag Manghani

Consultant
School of Information

Chirag is a 2nd year graduate at the I-School. Proficient in Python, Java, R, and SQL, he navigates software application development, machine learning and data science. His keen interest lies in data analysis and statistical methods, driving him to bridge theory and practice seamlessly. Chirag's dedication to excellence, adaptable mindset, and innate curiosity define him as a dynamic problem solver in the ever-evolving tech landscape.

Gaby May Lagunes

Consultant
ESPM

Hello! I’m Gaby (she/her). I am PhD student at the ESPM department, I hold a masters in Data Science and Information from the Berkeley ISchool and I have 5+ years of industrial experience in different data roles. Before that I got a masters in Engineering for International Development and an undergraduate degree in Physics from University College London. And somewhere between all that I got married, survived the pandemic, and had two awesome boys. I’m very excited to help you use data to enhance your work and your experience here at Berkeley!

Chirag Manghani

Consulting Drop-In Hours: Wed 1pm-3pm

Consulting Areas: Python, R, SQL, Stata, SAS, LaTeX, HTML / CSS, Javascript, C++, APIs, Cloud & HPC Computing, Cybersecurity & Data Security, Databases & SQL, Data Manipulation and Cleaning, Data Science, Data Sources, Data Visualization, Deep Learning, Machine Learning, Natural Language Processing, Python Programming, R Programming, Software Tools, Text Analysis, Web Scraping, Regression Analysis, Software Output Interpretation, Bash or Command Line, Excel, Git or Github, Qualtrics, RStudio, RStudio...

Hugh Kadhem

Data Science Fellow
Mathematics

Hugh Kadhem is a Ph.D. student in Applied Mathematics, with broad research interests in computational quantum physics and high-performance scientific computing.

Acquiring Genomic Data from NCBI

April 4, 2023
Monica Donegan
by Monica Donegan. Genomic data is essential for studying evolutionary biology, human health, and epidemiology. Public agencies, such as the National Center for Biotechnology Information (NCBI) offer excellent resources and access to vast quantities of genomic data. This blog introduces a brief workflow to download genomic data from public databases.

A Brief Introduction to Cloud Native Approaches for Big Data Analysis

March 20, 2023
Millie Chapman
by Millie Chapman. Satellites, smart phones, and other monitoring technologies are creating vast amounts of data about our earth every day. These data hold promise to provide global insights on everything from biodiversity patterns to human activity at increasingly fine spatial and temporal resolution. But leveraging this information often requires us to work with data that is too big to fit in our computer's "working memory" (RAM) or even to download to our computer's hard drive. In this post, I walk through tools, terms, and examples to get started with cloud native workflows. These workflows allow us to remotely access and query large data from online resources or web services, all while skipping the download step!

Aaron Culich

Consulting Drop-In Hours: By appointment only

Consulting Areas: Python, R, SQL, APIs, Cloud & HPC Computing, Databases & SQL, Bash or Command Line, Git or Github

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