Pixalate is on a hiring spree across data science, engineering, product, customer success, and sales. In a new series of blogs, we will introduce our prominent new team members who are pushing Pixalate forward every day with their unique backgrounds, skills, and experience.
Let’s find out more about Ahmad Sardar, Data Scientist, in his own words:
Pixalate: Where do you come from?
Ahmad Sardar: Previously, I was working on developing and researching machine learning algorithms. Before that, I completed my master’s in Data Analytics and bachelor’s degree in Electrical Engineering.
As of now, I am working on developing and researching ad fraud algorithms. A major part of my responsibility is to keep our algorithms robust and bring innovative ideas for development. I also help the analyst team in supporting marketing and customer support teams.
Pixalate: Why did you join us?
Ahmad: I joined Pixalate because, firstly, I believe they’re working towards a noble cause by actively helping the ad industry protect itself against fraud. Secondly, the team I interviewed with was amazing, and I was highly impressed by their leadership.
Pixalate: What do you see as the future of Pixalate?
Ahmad: I see Pixalate growing rapidly and expanding its customer base around the globe. With an exceptional team and great cause, we’re only bound to go higher and higher.
About Pixalate
Pixalate is the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising. We work 24/7 to guard your reputation and grow your media value. Pixalate offers the only system of coordinated solutions across display, app, video, and OTT/CTV for better detection and elimination of ad fraud. Pixalate is an MRC-accredited service for the detection and filtration of sophisticated invalid traffic (SIVT) across desktop and mobile web, mobile in-app, and OTT/CTV advertising. www.pixalate.com
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Disclaimer: The content of this page reflects Pixalate’s opinions with respect to the factors that Pixalate believes can be useful to the digital media industry. Any proprietary data shared is grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. Any references to outside sources should not be construed as endorsements. Pixalate’s opinions are just that - opinion, not facts or guarantees.
Per the MRC, “'Fraud' is not intended to represent fraud as defined in various laws, statutes and ordinances or as conventionally used in U.S. Court or other legal proceedings, but rather a custom definition strictly for advertising measurement purposes. Also per the MRC, “‘Invalid Traffic’ is defined generally as traffic that does not meet certain ad serving quality or completeness criteria, or otherwise does not represent legitimate ad traffic that should be included in measurement counts. Among the reasons why ad traffic may be deemed invalid is it is a result of non-human traffic (spiders, bots, etc.), or activity designed to produce fraudulent traffic.”