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Peter Graham Email & Phone Number

Deployment Lead at Palantir Technologies
Location: Palo Alto, California, United States 18 work roles 2 schools
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Current company
Role
Deployment Lead
Location
Palo Alto, California, United States
Company size

Who is Peter Graham? Overview

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Peter Graham is listed as Deployment Lead at Palantir Technologies, a with 5119 employees, based in Palo Alto, California, United States. AeroLeads shows a matched LinkedIn profile for Peter Graham.

Peter Graham previously worked as Data Scientist at The Warren Alpert Medical School Of Brown University and Incoming GPS Analyst at Deloitte. Peter Graham holds Bachelor Of Science - Bs, Cognitive Neuroscience & Data Science from Brown University.

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Palantir Technologies

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Profile bio

About Peter Graham

I am an undergraduate researcher and student at Brown University studying Cognitive Neuroscience and Data Science. From founding and contributing to successful tech/fintech startups to tech consulting and quantitative finance at the corporate level, I have in many different industries within tech and finance. One thing that ties my experiences together is working in conjunction with others whilst having an adaptive, engaging, compelling, and high integrity mindset, to bring value to the company, clients, and my peers.

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Peter Graham's current company

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Palantir Technologies
Palantir Technologies
Deployment Lead
United States
Website
Employees
5119
AeroLeads page
18 roles

Peter Graham work experience

A career timeline built from the work history available for this profile.

Data Scientist

Current

- Designing and teaching data science curriculum alongside David Song, Moon Hwan Kim, and Thanujaa Subramaniam MD for Brown Medical Schools’ Clinical Researchers as a 3 day workshop- Connecting Brown University Computer Science & Data Science students with current research opportunities at The Brown Medical School through a tailored website that acts as a portal to let students apply their skills and do research that also benefits current clinical researchers at The Warren Alpert Medical… Show more - Designing and teaching data science curriculum alongside David Song, Moon Hwan Kim, and Thanujaa Subramaniam MD for Brown Medical Schools’ Clinical Researchers as a 3 day workshop- Connecting Brown University Computer Science & Data Science students with current research opportunities at The Brown Medical School through a tailored website that acts as a portal to let students apply their skills and do research that also benefits current clinical researchers at The Warren Alpert Medical School of Brown University Show less

Sep 2024 - Present

Incoming Gps Analyst

Current
Aug 2024 - Present

Gps Summer Scholar

- Worked in the Program Management Office to design strategy in order to effectively create, modify, and present deliverables to the client as well as lead, motivate, and coordinate cross-functional collaboration and implementation of strategy between The Cloud, Cybersecurity, & Data Science Teams using SCRUM Methodology

Jun 2024 - Jul 2024

Computational Neuroscience Honors Researcher

Current

- Machine Learning Honors Research within The Carney Institute for Brain Science focusing on decoding time-series data for prediction of EEG/SEEG Signals through the use of different Machine Learning Frameworks & Neural Computation Models- A voice for the creation of The Computational Neuroscience Undergraduate Concentration so future Brunonians can see the many parallels between the worlds of natural and artificial intelligence

May 2023 - Present

Head Data Science Fellow

Current

- Selected by The Brown Data Science Institute for a leadership position: teacher for data wrangling, statistical analysis, statistical modeling/visualization, machine learning, and predictive analysis to current professors through the application of Python and its Machine Learning/Deep Learning Libraries such as Pandas, Numpy, Matplotlib, and Pytorch in order to help create curriculum at Brown University- Hands-on application of different project management frameworks, such as Agile… Show more - Selected by The Brown Data Science Institute for a leadership position: teacher for data wrangling, statistical analysis, statistical modeling/visualization, machine learning, and predictive analysis to current professors through the application of Python and its Machine Learning/Deep Learning Libraries such as Pandas, Numpy, Matplotlib, and Pytorch in order to help create curriculum at Brown University- Hands-on application of different project management frameworks, such as Agile, SCRUM, Waterfall, & Kanban Show less

Sep 2024 - Present

Member & Investor

Current

- A global network of Brown angel investors who support seed and early stage startups founded by Brown students and alumni

Jul 2024 - Present

Founder

- Tutored high school students on math, science, standardized tests, and helped plan out college applications/essays in person and online adjusting for COVID-19- Scored perfect on the ACT and have had two students achieve the same, with over 50% of clients have been accepted into institutions such as Brown, Stanford, Harvard, Princeton, University of Pennslyvania, UChicago, Duke, and USC

Aug 2018 - Sep 2024

Tutor

- Tutored curious students about the inner-workings of neuroscience, cognitive science, neurobiology, mathematics, and statistics in person as well as through virtual sessions for students who wanted to learn outside of school hours

Jan 2022 - Jun 2024

Quantitative Researcher

- Developing and applying alpha ML models & calibrating risk models for a fund with $25,000 AUM

Sep 2023 - May 2024

Mentor

- Mentor with experience founding two companies, working in two early-stage tech startups, along with being part of a Brown led startup backed by Y Combinator (Bloom)

Sep 2021 - May 2024

Strategy Consulting Summer Analyst

- Worked in a cross-functional team to develop large-scale financial wellness programs alongside Morgan Stanley's Strategy & Operations team to enhance client relationships through market research and predictive analysis to support sustainable growth of client wealth

Jun 2023 - Aug 2023

Founder

- Analyzed inventory/selling history and conducted research via data analysis to identify products with high demand and low supply, managed income statement and balance sheet; achieved breakeven in 10 days and maintained a 67% margin, $3,050 in sales / $1,000 COGS, achieved by consistently generating $240-320 in sales each operating day

Jan 2021 - May 2023

Quantitative Investment Summer Analyst

- Worked in the Global Technology Group where I delivered pitch books, built financial & statistical models, and ran predictive analyses on market data

Jun 2022 - Jul 2022

Marketing Finance Intern

- Managed marketing and finances of this Brown based SaaS Fintech Startup backed by Y Combinator (W21) that helps young adults learn how to invest- Helped achieve $3M+ ARR & 1M users

Oct 2021 - May 2022

Technical Development Intern

- Prepared rudimentary parts for radiative cooling panel testing, trials involve the use of different epoxies and their compatibility with measured, cut, and installed insulation and base parts for radiative cooling panel piping- Conducted techno-economic analysis in regards to times of day, regions, types of utilities in said regions, and states to create tariff structures for all of our customers

Apr 2021 - Jul 2021

Cashier

- Worked at front of house managing payments, orders, deliveries, and pickups while aligning with current COVID-19 Protocols- Was elected as employee of the month my second month working there for work ethic and customer service

Aug 2020 - Dec 2020

Circuitry Engineering Intern

- Worked on the supply line manufacturing components of circuits and processing them in clean room environments with a focus on conducting experimental design on slugging machines through Solidworks models and the coding of Servo Motors as the OEM for large EV companies, such as Tesla- Compiled and presented data to management of solo experimentation on 150+ testing strips using varying heat, adhesive bindings, and alloys to observe which circuits had the optimal ratio of adhesiveness:… Show more - Worked on the supply line manufacturing components of circuits and processing them in clean room environments with a focus on conducting experimental design on slugging machines through Solidworks models and the coding of Servo Motors as the OEM for large EV companies, such as Tesla- Compiled and presented data to management of solo experimentation on 150+ testing strips using varying heat, adhesive bindings, and alloys to observe which circuits had the optimal ratio of adhesiveness: subsequently modeled optimal circuits in CAD Software for future use Show less

May 2020 - Aug 2020
Team & coworkers

Colleagues at Palantir Technologies

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2 education records

Peter Graham education

Bachelor Of Science - Bs, Cognitive Neuroscience & Data Science

Activities and Societies: Brown Entrepreneurship Program, Quantitative Trading at Brown, Brown Angel Group, Data Science Institute.

4.65

Activities and Societies: Varsity Wrestling Team Captain, Varsity Cross Country, Varsity Track, Political Club Founder & President, Sports.

FAQ

Frequently asked questions about Peter Graham

Quick answers generated from the profile data available on this page.

What company does Peter Graham work for?

Peter Graham works for Palantir Technologies.

What is Peter Graham's role at Palantir Technologies?

Peter Graham is listed as Deployment Lead at Palantir Technologies.

Where is Peter Graham based?

Peter Graham is based in Palo Alto, California, United States while working with Palantir Technologies.

What companies has Peter Graham worked for?

Peter Graham has worked for Palantir Technologies, The Warren Alpert Medical School Of Brown University, Deloitte, Brown University, and Brown Angel Group.

Who are Peter Graham's colleagues at Palantir Technologies?

Peter Graham's colleagues at Palantir Technologies include Erin Hostetler, Evan B., Steve T., Austin Chevlin, and Flaviu Miron.

How can I contact Peter Graham?

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What schools did Peter Graham attend?

Peter Graham holds Bachelor Of Science - Bs, Cognitive Neuroscience & Data Science from Brown University.

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