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Preet Desai Email & Phone Number
Data Scientist
at
Amazon
1 work email found
@amazon.com
1 phone found area 206
LinkedIn matched
✓ Verified May 2026
4 data sources
Profile completeness 100%
Current company
Role
Data Scientist
Location
Seattle, Washington, United States
Company size
Who is Preet Desai? Overview
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Quick answer
Preet Desai is listed as Data Scientist at Amazon, a company with 500669 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 206, and a matched LinkedIn profile for Preet Desai.
Preet Desai previously worked as Data Scientist II at Amazon and Business intelligence engineer II at Amazon. Preet Desai holds Master’S Degree, Industrial Engineering, 3.77 from University At Buffalo.
Company email context
Email format at Amazon
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{first_initial}{last}@amazon.com
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AeroLeads found 1 current-domain work email signal for Preet Desai. Compare company email patterns before reaching out.
Profile bio
About Preet Desai
Highly analytical and strategy oriented individual with 4 years of experience in Research and Developenent environment. Eloquent data storyteller with proven ability of decision making by determining appropriate test to perform hypothesis testing, doing statistical analysis and discovering insights by integrating domain knowledge, data mining, machine learning and decision-making techniques. AREAS OF INTEREST• Enhancing key business insights with effective problem framing, decision making, statistical and predictive modeling• Data gathering from various data sources, data wrangling, and exploratory data analysis• In-depth analysis using machine learning, statistical models and algorithms to unearth high-value insights and predictions• Storytelling and making effective and informative dashboards to communicate with the technical/non-technical audience SOFTWARE SKILLS Key areas : Research and Development, Automated Reporting, Statistics, DOE, Hypothesis testing Programming : Python, R, SQL, SAS, VBA macrosDatabase : PostgreSQL, SQL Server, NoSQL, Redshift, SQL workbench, ETLTools : Tableau, PowerBI, Microsoft Excel, Minitab, Gurobi, Gephi, EC2, Cloudwatch
Listed skills include Customer Service, Microsoft Word, Microsoft Office, Minitab, and 41 others.
Current workplace
Preet Desai's current company
Company context helps verify the profile and gives searchers a useful next step.
Amazon
6 roles
Preet Desai work experience
A career timeline built from the work history available for this profile.
Data Scientist Ii
Business Intelligence Engineer Ii
- Coached and mentored 8+ new BIE members in the team with regular 1:1 meetings and adhoc decision making for directions
- Developed an innovative and rigorous way to calculate utilization, performance and effectiveness of individual and aggregated AGV system
Oct 2021 - Jul 2022
Business Intelligence Engineer I
- Defined new Key Performance Indicators (KPI) for Amazon's new technology that helped the engineers to find the bottleneck of a system
- Developed a new algorithm using Python to simulate real customer orders and reduce manual work that saved 8 to 10 daily labor hours
- Conducted statistical analysis that provided confidence to the program that has estimated savings of $72.4 M across 3 years
- Designed a logic that converted sub-system level state change events to system level state change events which was implemented on a large scale complex system
- Promoted to a Business Intelligence Engineer II role due to high performance and significant contribution to the organization
Mar 2020 - Jul 2022
Innovations Data Analyst
- Provided periodic actionable insights to product owner teams by combining statistical methodologies, rigorous data analysis as well as practical business considerations across 10 different projects by writing more than.
- Submitted unbiased feedback about system capabilities and potential risks by publishing more than 10 comprehensive reports to the director level
- Reduced cost and increased effectiveness of test samples by innovating a complex algorithm that takes multiple attribute distributions of historical data and provides representative sample from the available population.
- Developed accurate metrics formulation specific to Overall Equipment Effectiveness (OEE) and Overall Process Effectiveness (OPE) which was approved by core formulation team and implemented across various projects
- Promoted to a Business Intelligence Engineer I role due to high performance and significant contribution to the organization
Jul 2018 - Mar 2020
Data Analyst Project Intern
- Reduced inventory cost $20000/yr. by implementing mathematical modeling and predictive analytics utilizing Python
- Designed an algorithm that automatically finds the best forecasting model to predict demand, in addition to calculating EOQ
- Integrated the developed model with the existing tools working with a team of engineers in multiple departments
Feb 2017 - May 2017
Team & coworkers
Colleagues at Amazon
Other employees you can reach at amazon.com. View company contacts for 500669 employees →
CT
Camellia Thompson, Mba
Colleague at AmazonGreater Chicago Area, United States
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YA
Yuvaraj Ak
Colleague at AmazonBengaluru, Karnataka, India, India
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CM
Cia Mburwana
Colleague at AmazonEast London, Eastern Cape, South Africa, South Africa
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AA
Anonym Anonym
Colleague at AmazonRuhr Region, Germany
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VT
Văn Thông Trần
Colleague at AmazonHanoi Capital Region, Viet Nam
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عع
عبدالرحمن عامر
Colleague at AmazonRiyadh, Riyadh, Saudi Arabia, Saudi Arabia
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GB
Gloria Bianchi
Colleague at AmazonGreater Bergamo Metropolitan Area, Italy
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PC
Prince Chinemerem
Colleague at AmazonHarlingen, Texas, United States, United States
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NG
Ntm Gaming
Colleague at AmazonDharapuram, Tamil Nadu, India, India
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CS
Chaundra Spain
Colleague at AmazonUnited States, United States
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Camellia Thompson, Mba
Colleague at AmazonGreater Chicago Area, United States
View →
YA
Yuvaraj Ak
Colleague at AmazonBengaluru, Karnataka, India, India
View →
CM
Cia Mburwana
Colleague at AmazonEast London, Eastern Cape, South Africa, South Africa
View →
AA
Anonym Anonym
Colleague at AmazonRuhr Region, Germany
View →
VT
Văn Thông Trần
Colleague at AmazonHanoi Capital Region, Viet Nam
View →
عع
عبدالرحمن عامر
Colleague at AmazonRiyadh, Riyadh, Saudi Arabia, Saudi Arabia
View →
GB
Gloria Bianchi
Colleague at AmazonGreater Bergamo Metropolitan Area, Italy
View →
PC
Prince Chinemerem
Colleague at AmazonHarlingen, Texas, United States, United States
View →
NG
Ntm Gaming
Colleague at AmazonDharapuram, Tamil Nadu, India, India
View →
CS
Chaundra Spain
Colleague at AmazonUnited States, United States
View →
2 education records
Preet Desai education
Master’S Degree, Industrial Engineering, 3.77
Bachelor’S Degree, Mechanical Engineering, 8.32
FAQ
Frequently asked questions about Preet Desai
Quick answers generated from the profile data available on this page.
What company does Preet Desai work for?
Preet Desai works for Amazon.
What is Preet Desai's role at Amazon?
Preet Desai is listed as Data Scientist at Amazon.
What is Preet Desai's email address?
AeroLeads has found 1 work email signal at @amazon.com for Preet Desai at Amazon.
What is Preet Desai's phone number?
AeroLeads has found 1 phone signal(s) with area code 206 for Preet Desai at Amazon.
Where is Preet Desai based?
Preet Desai is based in Seattle, Washington, United States while working with Amazon.
What companies has Preet Desai worked for?
Preet Desai has worked for Amazon and Tapecon, Inc..
Who are Preet Desai's colleagues at Amazon?
Preet Desai's colleagues at Amazon include Camellia Thompson, Mba, Yuvaraj Ak, Cia Mburwana, Anonym Anonym, and Văn Thông Trần.
How can I contact Preet Desai?
You can use AeroLeads to view verified contact signals for Preet Desai at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Preet Desai attend?
Preet Desai holds Master’S Degree, Industrial Engineering, 3.77 from University At Buffalo.
What skills is Preet Desai known for?
Preet Desai is listed with skills including Customer Service, Microsoft Word, Microsoft Office, Minitab, Microsoft Excel, Leadership, Project Management, and Optimization.
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