Kushagra Agarwal
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Kushagra Agarwal Email & Phone Number

Machine Learning Engineer at Galen Health
Location: Pittsburgh, Pennsylvania, United States 15 work roles 3 schools
1 work email found @galenhealth.org LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email k****@galenhealth.org
LinkedIn Profile matched
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Current company
Role
Machine Learning Engineer
Location
Pittsburgh, Pennsylvania, United States
Company size

Who is Kushagra Agarwal? Overview

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Quick answer

Kushagra Agarwal is listed as Machine Learning Engineer at Galen Health, a with 11 employees, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at galenhealth.org and a matched LinkedIn profile for Kushagra Agarwal.

Kushagra Agarwal previously worked as Data Science Intern at Accurkardia and Teaching Assistant at Machine Learning Department At Cmu. Kushagra Agarwal holds Master Of Science - Ms, Computational Data Science, 4.20 from Carnegie Mellon University.

Company email context

Email format at Galen Health

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{first}@galenhealth.org
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Profile bio

About Kushagra Agarwal

MS in Computational Data Science student interested in the application of ML in Healthcare.

Listed skills include Python, Genomics, Bioinformatics, Machine Learning, and 5 others.

Current workplace

Kushagra Agarwal's current company

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Galen Health
Galen Health
Machine Learning Engineer
San Francisco, CA, US
Website
Employees
11
AeroLeads page
15 roles

Kushagra Agarwal work experience

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

Machine Learning Engineer

San Francisco, Ca, Us

Data Science Intern

New York, United States

Developed ECG algorithms to detect Atrial Fibrillation, Torsade Pointes, R peak polarity, and Muscle Artefacts

May 2024 - Aug 2024

Research Intern

Advisor: Dr. Robert Murphy (Computational Biology Department)Optimizing organelle segmentation shape consistency for fluorescence microscope images

Feb 2022 - Jul 2023

Head Teaching Assistant

Hyderabad, Telangana, India

Foundations of Modern Machine Learning course for students from various engineering colleges across India (https://ihub-data.iiit.ac.in/mml2021/)

Aug 2021 - Jul 2023

Undergraduate Researcher

Center For Computational Natural Sciences And Bioinformatics (Ccnsb)

Hyderabad, Telangana, India

Advisor: Dr. Nita ParekhAgarwal, K. & Parekh, N. Demographic Analysis of Mutations in Indian SARS-CoV-2 Isolates. 2021.09.22.461342 https://www.biorxiv.org/content/10.1101/2021.09.22.461342v1 (2021) doi:10.1101/2021.09.22.461342.Poster presented at the joint 29th International Conference on Intelligent Systems for Microbiology, ISMB/ECCB 2021.

May 2020 - May 2023

Research Intern

Advisor: Dr. Jimeng Sun (University of Illinois Urbana-Champaign)Uncertainty quantification in Machine Learning for Healthcare

May 2022 - Dec 2022

Research Intern

Bengaluru, Karnataka, India

Advisor: Prof. Chirag JainGenome graphs, Genome-wide Association Studies, Minimizers, Genome Size Estimation

May 2021 - May 2022

Research Intern

Big Data in Biomedicine Lab Prof. Markus List (Technical University of Munich) and Prof. Michael Scherer (Max Planck Institut für Informatik)

Dec 2021 - Apr 2022

Research Assistant

Data Sciences And Analytics Center (Dsac)

India

RAKSHAK Data Pilot Project, in association with the Government of India, Intel, and the Data Science and Analytics Lab to form a novel Medical Database for India. Worked to build Risk Stratification and Mortality Prediction models on Indian COVID-19 Patients data.

Aug 2020 - Apr 2021

Research Intern

Hyderabad, Telangana, India

Centre for Analytical Finance (CAF), ISB Hyderabad Advisors: Prof Sanjai Bhagat, Leeds School of Business, University of Colorado Boulder and Prof Shashwat Alok, Indian School of Business, Hyderabad Created a Corruption Perception Index (CPI) for India using last 20 years Newspaper archive and ultimately predicted next year's GDP at both National and State Levels. Used Word2Vec Machine Learning Architecture to create Word Embeddings and computed the weighted sum of cosine distances to score the Newspaper articles for the CPI.

Apr 2020 - Jun 2020

Development Intern

Hyderabad, Telangana, India

• Suggested alternative routes using a pgRouting server to minimize Carbon Footprint data due to the truck movement within Logistical Hubs.• Set up pgRouting by deploying Dijkstras and A-star algorithms• Used postGreSQL and Openlayers to manage OpenStreetMap data from London• Using Satellite data found hotspot areas with high carbon emissions

Jan 2020 - Apr 2020
3 education records

Kushagra Agarwal education

School, 97.2% (Icse, Class 10), 96% (Isc, Class 12)

M.C. Kejriwal Vidyapeeth
FAQ

Frequently asked questions about Kushagra Agarwal

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

What company does Kushagra Agarwal work for?

Kushagra Agarwal works for Galen Health.

What is Kushagra Agarwal's role at Galen Health?

Kushagra Agarwal is listed as Machine Learning Engineer at Galen Health.

What is Kushagra Agarwal's email address?

AeroLeads has found 1 work email signal at @galenhealth.org for Kushagra Agarwal at Galen Health.

Where is Kushagra Agarwal based?

Kushagra Agarwal is based in Pittsburgh, Pennsylvania, United States while working with Galen Health.

What companies has Kushagra Agarwal worked for?

Kushagra Agarwal has worked for Galen Health, Accurkardia, Machine Learning Department At Cmu, Carnegie Mellon University, and Ihub-Data, Iiit Hyderabad.

How can I contact Kushagra Agarwal?

You can use AeroLeads to view verified contact signals for Kushagra Agarwal at Galen Health, including work email, phone, and LinkedIn data when available.

What schools did Kushagra Agarwal attend?

Kushagra Agarwal holds Master Of Science - Ms, Computational Data Science, 4.20 from Carnegie Mellon University.

What skills is Kushagra Agarwal known for?

Kushagra Agarwal is listed with skills including Python, Genomics, Bioinformatics, Machine Learning, Data Science, Deep Learning, C++, and Natural Language Processing.

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