Deeksha S
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Deeksha S Email & Phone Number

Data Scientist and Gen AI Engineer at Verizon
Location: Greater Tampa Bay Area, United States, United States 2 work roles 1 school
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Current company
Verizon
Role
Data Scientist and Gen AI Engineer
Location
Greater Tampa Bay Area, United States, United States
Company size
97920 employees

Who is Deeksha S? Overview

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Quick answer

Deeksha S is listed as Data Scientist and Gen AI Engineer at Verizon, a company with 97920 employees, based in Greater Tampa Bay Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Deeksha S.

Deeksha S previously worked as Data Scientist at Verizon. Deeksha S holds Master'S Degree, Computer Science from Marist College.

Company email context

Email format at Verizon

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Verizon

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Profile bio

About Deeksha S

Experienced Data Scientist with a demonstrated history of working in the telecommunications and financial industry. Skilled in Python, Apache Spark, Hadoop, Machine Learning, Deep Learning, and SQL. Strong engineering professional with a Master's degree in Computer Science from Marist College.

Listed skills include Amazon Web Services, Deep Neural Networks, Classification, Mongodb, and 27 others.

Current workplace

Deeksha S's current company

Company context helps verify the profile and gives searchers a useful next step.

Verizon
Verizon
Data Scientist and Gen AI Engineer
Florida, United States
Website
verizon.com
Employees
97920
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Company profile
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2 roles

Deeksha S work experience

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

Data Scientist And Gen Ai Engineer

Verizon

Florida, United States

Data Scientist

Current
Verizon

Alpharetta, Georgia, United States

Sep 2019 - Present
Team & coworkers

Colleagues at Verizon

Other employees you can reach at verizon.com. View company contacts for 97920 employees →

GR Geraldine Robben Geraldine Robben Colleague at VerizonSeattle, Washington, United States, United States View → TH Toni Hasha Toni Hasha Colleague at VerizonFair Oaks, California, United States, United States View → DR Denise Robinson Denise Robinson Colleague at VerizonQueens County, New York, United States, United States View → KR Kala Ragan Kala Ragan Colleague at VerizonHazleton, Pennsylvania, United States, United States View → AA Anderson Antoine Anderson Antoine Colleague at VerizonNew York City Metropolitan Area, United States View → LC Leslie Corey Leslie Corey Colleague at VerizonOcala, Florida, United States, United States View → JH Jerry Hancock Jerry Hancock Colleague at VerizonBrooklyn, New York, United States, United States View → YR Yvan Royon Yvan Royon Colleague at VerizonOrange County, California, United States, United States View → CA Charity Adeyeye Charity Adeyeye Colleague at VerizonGreater Houston, United States View → GS Gary Smith, Mba Gary Smith, Mba Colleague at VerizonGreater Philadelphia, United States View →
1 education record

Deeksha S education

FAQ

Frequently asked questions about Deeksha S

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

What company does Deeksha S work for?

Deeksha S works for Verizon.

What is Deeksha S's role at Verizon?

Deeksha S is listed as Data Scientist and Gen AI Engineer at Verizon.

Where is Deeksha S based?

Deeksha S is based in Greater Tampa Bay Area, United States, United States while working with Verizon.

What companies has Deeksha S worked for?

Deeksha S has worked for Verizon.

Who are Deeksha S's colleagues at Verizon?

Deeksha S's colleagues at Verizon include Geraldine Robben, Toni Hasha, Denise Robinson, Kala Ragan, and Anderson Antoine.

How can I contact Deeksha S?

You can use AeroLeads to view verified contact signals for Deeksha S at Verizon, including work email, phone, and LinkedIn data when available.

What schools did Deeksha S attend?

Deeksha S holds Master'S Degree, Computer Science from Marist College.

What skills is Deeksha S known for?

Deeksha S is listed with skills including Amazon Web Services, Deep Neural Networks, Classification, Mongodb, Microsoft Azure, Data Analysis, Recurrent Neural Networks, and Clustering.

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