Aditya Bhatt
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Aditya Bhatt Email & Phone Number

Software Engineer II (MTS), Data Cloud at Salesforce
Location: San Francisco Bay Area, United States 11 work roles 3 schools
1 work email found @prudential.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Current company
Role
Software Engineer II (MTS), Data Cloud
Location
San Francisco Bay Area, United States
Company size

Who is Aditya Bhatt? Overview

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Quick answer

Aditya Bhatt is listed as Software Engineer II (MTS), Data Cloud at Salesforce, a with 83776 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at prudential.com and a matched LinkedIn profile for Aditya Bhatt.

Aditya Bhatt previously worked as MTS Software Engineer at Salesforce and AMTS Software Engineer at Salesforce. Aditya Bhatt holds Master Of Science - Ms, Applied And Computational Mathematics from Johns Hopkins Whiting School Of Engineering.

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{first}.{last}@prudential.com
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Profile bio

About Aditya Bhatt

I am a software engineer working at Salesforce. I am also pursuing a Masters degree in Applied and Computational Mathematics from Johns Hopkins University. As an undergraduate, I studied computer science at the University of Michigan, College of Engineering to learn how to engineer various software applications and analyze data using these applications. Checkout my personal portfolio at https://bhattadi.github.io/ !

Listed skills include C++, Statistical Data Analysis, Public Speaking, Java, and 16 others.

Current workplace

Aditya Bhatt's current company

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Salesforce
Salesforce
Software Engineer II (MTS), Data Cloud
New York, NY, US
Website
Employees
83776
AeroLeads page
11 roles

Aditya Bhatt work experience

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

Software Engineer Ii (Mts), Data Cloud

New York, Ny, Us

Mts Software Engineer

Current

San Francisco, California, United States

Feb 2024 - Present

Amts Software Engineer

San Francisco, California, United States

Developing new technologies within CRM Revenue Cloud

Jan 2022 - Feb 2024

Software Development Engineering Intern

Arlington, Virginia, United States

At Amazon Web Services, I have been building a tool to efficiently compare different data sources independent of their storage format. I developed a CLI in Java that allows users to quickly find all the differences between any CSV files, JSON files, and DynamoDB tables. This tool uses PartiQL and AWS Java SDK to query large datasets so that data independence is preserved, and the tool can be easily scaled to adopt new data formats.

May 2021 - Aug 2021

Machine Learning Researcher

Ann Arbor, Michigan, United States

Working with Department of Radiology to implement a Deep Neural Network that will extract out respiratory motion signals from raw MRI (Magnetic Resonance Imaging) data to significantly improve Electrocardiogram Gating (ECG) procedures.

May 2020 - Dec 2020

Software Development Engineering Intern

Herndon, Virginia, United States

At Amazon, I have been building an internal web service to automate data transfer requests across multiple teams within AWS EC2. I used Java Server Pages (JSP) and CSS to build the front-end of a UI form and transmits this information to internal Java-based APIs I built. Once these APIs are triggered, information from the form is processed and saved into DynamoDB tables.

Jun 2020 - Aug 2020

Data Science Team Member

Ann Arbor, Michigan

As a member of the Michigan Data Science Team, I have been learning machine learning and natural language processing techniques through online resources such as Kaggle and DataCamp. Recently, I have been working on a project to analyze the relationship between drug reviews and accuracy of patient treatment from a large data set.

Sep 2018 - May 2020

Applications And Systems Development Intern

Newark, New Jersey

I interned at Prudential Financial within the Global Business Technology Solutions department alongside Kenneth Cook, Vice President of Information Technology Architecture and Chief Information Officer of Long-Term Care Insurance. We conducted large-scale data analysis on insurance claims to detect instances of fraud using statistical tools such as SQL, Hadoop, and Denodo as well as data visualization tools such as Tableau and Power BI. When developing software to detect fraudulent instances, we built various models in Python and R to catch any suspicious activity among claim holders. Throughout the summer, I gained exposure to the Software Development Life Cycle and various project management tools such as Agile Software Development Methodology and JIRA.

Jun 2019 - Aug 2019

Sensors And Systems Team Member

Ann Arbor, Michigan

As a member of the systems and sensors core team of UMIGV, I learned various Linux commands and an overview of ROS (Robotics Operating System). I helped install an LED touchscreen panel to the robot to allow users to wirelessly modify settings.

Sep 2018 - Dec 2018

Data Science Intern

Randolph, New Jersey

Interning at the County College of Morris’s Mathematics Department in Randolph, New Jersey taught me how to apply fundamental data science concepts to solve real problems. Working under Professor Kelly Fitzpatrick, I performed hypothesis testing to analyze academic performance for the mathematics department across 14 semesters ranging from Spring 2011 to Fall 2018. Professor Fitzpatrick and I imported data for over 1000 students across 70 different mathematics classes from Microsoft Excel into the statistical programming language R to construct a graphical representation of the statistical data. After that, we compiled all of our research findings into a technical report to present to the entire mathematics department at the following Board of Education Meeting.

Aug 2017 - Mar 2018

Chemical Analyst Intern

Fairfield, New Jersey

As a chemical analyst intern, I worked closely with senior chemists and data analysts to conduct various chemical experiments at the microbiology laboratory. I learned the standard operating procedures (SOP) of the laboratory as well as how to extract data from various instruments and quantitatively compare the experimental data with the theoretical yield.

Jun 2017 - Aug 2017
Team & coworkers

Colleagues at Salesforce

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3 education records

Aditya Bhatt education

Bachelor Of Science In Engineering - Bse, Computer Science

Activities and Societies: Michigan Data Science Team (MDST), INFORMS at UM, Michigan Undergraduate Students of Statistics (MUGS), Michigan.

FAQ

Frequently asked questions about Aditya Bhatt

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

What company does Aditya Bhatt work for?

Aditya Bhatt works for Salesforce.

What is Aditya Bhatt's role at Salesforce?

Aditya Bhatt is listed as Software Engineer II (MTS), Data Cloud at Salesforce.

What is Aditya Bhatt's email address?

AeroLeads has found 1 work email signal at @prudential.com for Aditya Bhatt at Salesforce.

Where is Aditya Bhatt based?

Aditya Bhatt is based in San Francisco Bay Area, United States while working with Salesforce.

What companies has Aditya Bhatt worked for?

Aditya Bhatt has worked for Salesforce, Amazon Web Services (Aws), Michigan Medicine, Amazon, and Michigan Data Science Team.

Who are Aditya Bhatt's colleagues at Salesforce?

Aditya Bhatt's colleagues at Salesforce include Tim Lawrence, Akhilesh Chunduri, Brandon Mcgill, Zion Washington, and Melissa Bennett.

How can I contact Aditya Bhatt?

You can use AeroLeads to view verified contact signals for Aditya Bhatt at Salesforce, including work email, phone, and LinkedIn data when available.

What schools did Aditya Bhatt attend?

Aditya Bhatt holds Master Of Science - Ms, Applied And Computational Mathematics from Johns Hopkins Whiting School Of Engineering.

What skills is Aditya Bhatt known for?

Aditya Bhatt is listed with skills including C++, Statistical Data Analysis, Public Speaking, Java, Communication, Microsoft Office, R, and Python.

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