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Gunes Kayacik's Email & Phone Number

Staff Data Scientist at Okta, Inc.

Gunes Kayacik's Email Addresses

k****[email protected] Personal Email

Gunes Kayacik's Phone Numbers

(**) *** *** 186 Phone number

Gunes Kayacik's Work Experience

Okta, Inc.

Staff Data Scientist

January 2021 to Present

Dalhousie University

Adjunct Faculty

July 2015 to Present

Aruba, a Hewlett Packard Enterprise company

Data Scientist

November 2017 to January 2021

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Gunes Kayacik's Education

Dalhousie University

Doctor of Philosophy (Ph.D.), Computer Science

December 2022 to December 2022

Dalhousie University

Master's Degree, Computer Science

December 2022 to December 2022

Ege ├ťniversitesi

Bachelor's Degree, Computer Engineering

December 1997 to December 2022

Gunes Kayacik's Professional Skills Radar Chart

Based on our findings, Gunes Kayacik is ...

Inspirational
Structured
Quiet

What's on Gunes Kayacik's mind?

Based on our findings, Gunes Kayacik is ...

56% Left Brained
44% Right Brained

Gunes Kayacik's Estimated Salary Range

About Gunes Kayacik's Current Company

Okta, Inc.

Frequently Asked Questions about Gunes Kayacik

What company does Gunes Kayacik work for?

Gunes Kayacik works for Okta, Inc.


What is Gunes Kayacik's role at Okta, Inc.?

Gunes Kayacik is Staff Data Scientist


What is Gunes Kayacik's personal email address?

Gunes Kayacik's personal email address is k****[email protected]


What is Gunes Kayacik's business email address?

Gunes Kayacik's business email address is [email protected]***.***


What is Gunes Kayacik's Phone Number?

Gunes Kayacik's phone (**) *** *** 186


What industry does Gunes Kayacik work in?

Gunes Kayacik works in the Research industry.


About Gunes Kayacik

­čĺ╝ Past Experience

Gunes Kayacik's experience as a Machine Learning Researcher at FICO (1 year 8 months) in San Francisco Bay Area, has beenalidatinghd.com that Gunes Kayacik "has more experience working in the field of machine learning than most people." Gunes Kayacik has worked on building user models from mobile device data, building driver behavior models to detect risky drivers and sudden changes in driver behavior, analyzing data from mobile devices to improve fraud detection, and building semi-supervised (micro) models on time series datasets containing location, speed, acceleration and gyroscope readings. In his previous roles, Gunes has also worked on projects involving the analysis of cloud access patterns in large-scale datasets for detecting abnormal behavior and getting mobile devices to recognize their users, based on user behavior that is captured from various device sensors. He has also worked on getting mobile devices to recognize their users, based on user behavior that is captured from various device sensors and on developing prototypes for scalable algorithms that work on streaming data and provide low false positive guarantees.


­čÄô Education

Gunes Kayacik has a Doctor of Philosophy (Ph.D.) from Dalhousie University in 2003. Gunes Kayacik also has a Master's Degree from Dalhousie University in 2001 and a Bachelor's Degree from Ege ├ťniversitesi in 1997. Gunes Kayacik has spent most of his professional life at Dalhousie University. He has been a professor at Dalhousie University since 2003 and also holds an appointment as the chair of the computer science department. kayacik has also been a visiting professor at ETH Z├╝rich, ETH Berlin, and S├╝dkurier University in Vienna.


­čĺí Technical & Interpersonal Skills

Gunes Kayacik has over 10 years of experience working in the field of machine learning. During that time, Gunes Kayacik has focused on the development and use ofANNUAL REPORT DATA SHARING SECURITY HARNESS GAMES THAT PROTECT YOUR INFORMATION FROM MALICIOUS THIRD PARTY ACTIVITY. In August 2014, Gunes Kayacik was a Lead Scientist for FICO in the San Francisco Bay Area. In thisrole, Gunes Kayacik made research on building user models from mobile device data. This work involved building driver behavior models to detect risky drivers and sudden changes in driver behavior. Additionally, they analyzed data from mobile devices to improve fraud detection.From 2012 to 2013, Gunes Kayacik was a Consulting Data Scientist at Skyhigh Networks in San Francisco Bay Area. Their consulting work involved the analysis of cloud access patterns in large-scale datasets for detecting abnormal behavior. Additionally, they worked on getting mobile devices to recognize their users, based on user behavior that is captured from various device sensors. Additionally, Gunes Kayacik worked on a project highlighted by BBC news and the Evening Times newspaper in the U.K., which was to answer the infamous "what is wrong with my WiFi connection?" on large-scale campus deployments.In March 2016, Gunes Kayacik was hired as a Staff Engineer at Qualcomm Research in San Francisco Bay Area. Their research on applying machine learning to Web and IoT security focus their work on developing prototype algorithms that work on streaming data (no training loops) and provide low false positive guarantees.From September 2012 to August 2014, Gunes Kayacik was a Marie Curie Postdoctoral Fellow at Glasgow Caledonian University. Their research involved the use of Statistical Modeling for Outlier Detection. Additionally, they worked on GetMobileDeviceToRecognizeUser, which is a method used to help mobile devices recognize their users. Their research was implemented in the Aruba NetInsight Analytics Platform.In March 2017, Gunes Kayacik was hired as a Staff Engineer at Qualcomm Research in San Francisco Bay Area. Their research on applying machine learning to Web and IoT security focus their work on developing prototypes for scalable algorithms that work on streaming data (no training loops) and provide low false positive guarantees.


Gunes KayacikÔÇÖs Personal Email Address, Business Email, and Phone Number

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In a nutshell

Gunes Kayacik's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 0 month(s)

Gunes Kayacik's Willingness to Change Jobs

Unlikely

Likely

Open to opportunity?

There's 86% chance that Gunes Kayacik is seeking for new opportunities

Gunes Kayacik's Social Media Links

/in/kayacik
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