Stanford Doerr School of Sustainability
Showing 1-10 of 334 Results
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Aakash Ahamed
Research Assistant, Geophysics Faculty Programs
BioAakash Ahamed (BS, with honors, Franklin and Marshall College; MSc, Boston College; PhD Candidate, Stanford University) is a hydrologist developing scientific methods for satellite and airborne remote sensing measurements with applications to water resources, natural hazards, and agricultural systems. As a PhD Candidate in the Department of Geophysics, his current doctoral project focuses on modeling, monitoring, and forecasting key hydrologic components of the Central Valley Aquifer System in California using techniques in data assimilation and machine learning. Aakash previously worked as a support scientist in the Hydrological Sciences Lab at NASA Goddard Space Flight Center, where he constructed satellite-based models of flood and landslide hazards. He has also developed remote sensing analyses and software at Ceres Imaging, a successful precision agriculture start up based in Silicon Valley, and interned as a GIS analyst at the World Wildlife Fund for Nature in Washington, DC.
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Ethan Allavarpu
Masters Student in Statistics, admitted Autumn 2022
Project Assistant, Woods InstituteBioI am pursuing an M.S. in Statistics Data Science at Stanford University (with coursework in Statistics, Computer Science, and Computational and Mathematical Engineering). Before Stanford, I graduated summa cum laude with a B.S. in Statistics from the University of California, Los Angeles (UCLA). Next summer (2023), I will join Apple as a Data Science and Visualization Intern within the Hardware Engineering team.
This past summer (2022), I was a Data Science Intern with Bridg working on data querying, natural language processing (NLP), and machine learning with Python, SQL, and Snowflake on terabytes of data (over 100 billion observations) to improve insights on product descriptions and feature standardization across various sources. During my senior year at UCLA, I was a Data Analyst Intern with SCAN Health Plan performing NLP and unsupervised learning (agglomerative clustering) in Python to analyze call center data while also creating Tableau dashboards. I also was a Data Science Consultant with UCLA’s Data Science Center, working as a consultant to meet ad-hoc and long-term requests from clients in varied fields. Additionally, I was the president of Bruin Sports Analytics, combining sports and analytics by guiding our data journalism, research, and consulting teams to produce deliverables for sports fans and UCLA’s intercollegiate teams.
I am always willing to discuss potential work opportunities or my path with prospective undergraduate or graduate students or data science enthusiasts. Feel free to contact me via email, LinkedIn, or my personal website.
