Preet Desai

Preet Desai Email and Phone Number

Data Scientist at Amazon @ Amazon
seattle, washington, united states
Preet Desai's Location
Seattle, Washington, United States, United States
Preet Desai's Contact Details

Preet Desai work email

Preet Desai personal email

n/a

Preet Desai phone numbers

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

Preet Desai's Current Company Details
Amazon

Amazon

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Data Scientist at Amazon
seattle, washington, united states
Website:
amazon.com
Employees:
500669
Preet Desai Work Experience Details
  • Amazon
    Data Scientist Ii
    Amazon Jul 2022 - Present
    Seattle, Washington, United States
  • Amazon
    Business Intelligence Engineer Ii
    Amazon Oct 2021 - Jul 2022
    • 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
  • Amazon
    Business Intelligence Engineer I
    Amazon Mar 2020 - Jul 2022
    Sumner, Washington, United States
    • 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
  • Amazon
    Innovations Data Analyst
    Amazon Jul 2018 - Mar 2020
    Greater Seattle Area
    • 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 170 weekly reports• 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 replicating all historical distributions• 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
  • Tapecon, Inc.
    Data Analyst Project Intern
    Tapecon, Inc. Feb 2017 - May 2017
    Buffalo/Niagara, New York Area
    • 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

Preet Desai Skills

Customer Service Microsoft Word Microsoft Office Minitab Microsoft Excel Leadership Project Management Optimization Linear Programming Python Regression Analysis Sas Programming Sql Cluster Analysis Neural Networks Decision Trees Gurobi Data Sas E Miner Sas Studio Data Analysis Data Analytics Big Data Analytics Matlab Hadoop Spark Mapreduce Support Vector Machine Neuro Linguistic Programming Machine Learning Artificial Intelligence Natural Language Processing Management Microsoft Powerpoint Programming R Data Mining Tableau Sas Analytics Databases Predictive Analytics Algorithms Statistics Data Visualization

Preet Desai Education Details

Frequently Asked Questions about Preet Desai

What company does Preet Desai work for?

Preet Desai works for Amazon

What is Preet Desai's role at the current company?

Preet Desai's current role is Data Scientist at Amazon.

What is Preet Desai's email address?

Preet Desai's email address is pd****@****zon.com

What is Preet Desai's direct phone number?

Preet Desai's direct phone number is (206)-266*****

What schools did Preet Desai attend?

Preet Desai attended University At Buffalo, Gujarat Technological University, Ahmedbabd.

What skills is Preet Desai known for?

Preet Desai has skills like Customer Service, Microsoft Word, Microsoft Office, Minitab, Microsoft Excel, Leadership, Project Management, Optimization, Linear Programming, Python, Regression Analysis, Sas Programming.

Who are Preet Desai's colleagues?

Preet Desai's colleagues are Dodo Kaka, Luong Cuong, Kunjan Suryavanshi, Parjanya Yerabati, Jomon Joseph, Domenica Berardi, Ibrahim Essam.

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