Breaking Into AI: Sahar Nasiri on Acing the Data Science Job Interview
Sahar Nasiri talks about her early interview struggles, finding her first job, and the value of understanding statistics.
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Breaking into AI: How Jagriti Went From Zero AI Knowledge to Coding NASA Robots
Jagriti Agrawal helped design autonomous systems for NASA's Perseverance rover. Now she is the co-founder of her own company, Kira Learning.
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2022 Pie & AI Ambassador Spotlight: Adam Hulman
I have always been active in organizing research seminars and events in my local setting, but I wanted to extend these activities to a global audience to achieve more diversity. Pie & AI events in a hybrid setting (local + virtual) seemed like the perfect way to do so.
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2022 Pie & AI Ambassador Spotlight: Rodrigo Beceiro
I am the CTO and co-founder of Marvik, a software development firm specialized in machine learning. We help companies identify opportunities to leverage their data. I love the challenge of solving problems that no one else has solved before.
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Pie & AI Event Ambassador Spotlight 2022: Meet the Leaders Building a Network of Global AI Hubs
Since 2019, Pie & AI ambassadors have hosted over 700 events. Each year we celebrate their efforts.
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Working AI: How a Passionate Engineer Went From Writing Code to Running a Company
Dr. Benjamin Harvey, CEO of AI Squaredhas used machine learning to investigate environmental problems, aid cancer research, and probe the damage caused by national security leaks
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Working AI: How a Former Academic Helped Launch a Company That Makes Cities Healthier
Jared Webb, chief data scientist at BlueConduit, discusses his transition from academia to business, how he navigates the challenges of working with government data, and what he looks for in new hires.
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Working AI: How an Accomplished Data Scientist Found Job Satisfaction
Kulsoom Abdullah pivoted from network security into a data science role after taking Andrew Ng’s original Introduction to Machine Learning course from Stanford in 2013. A self-described learning addict, she has taken more than 10 online courses, most recently the Deep Learning Specialization. Outside of work, she’s a fitness fanatic, and was the first competitive weightlifter to compete professionally for Pakistan — after winning a fight to change the dress code to allow religious head coverings. On top of all that, she’s a travel
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Breaking Into AI: How a Machine Learning Engineer Turns Ideas Into Products
Lorenzo Ostano first encountered machine learning and data science as a business analyst shortly after graduating from college. He dove into learning, and soon landed work as a machine learning engineer. After working several years for a variety of consulting companies, he recently took a job as a software engineer. He spoke to us about why he believes traditional computing skills are important to deploying enterprise machine learning applications.
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Working AI: How a Determined Entrepreneur Used Deep Learning to Grow His Business
Kai Saksela is the CEO of NL Acoustics, a Finnish technology startup that designs and manufactures AI products to analyze sounds. He took the Deep Learning Specialization primarily because he loves learning new skills and has been fascinated by the field for a long time. He also had a hunch that neural networks would help his company solve a core problem: providing customers guidance on what they should do when their equipment starts making strange noises. He spoke with us about how his hunch paid off and why AI plays a central role in his company’s growth.
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A Career in AI Felt Impossible. Then He Took the Course That Changed Everything
Matt Struble is an engineer at a sportswear company, where he currently leads a team that’s developing a deep learning system for predicting shoe trends a year or two into the future. Before taking the Deep Learning Specialization, he was a computer programmer who watched data scientists from afar.
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Working AI: Stoking GPU Clusters With Swetha Mandava
Title: Senior Deep Learning Engineer, Nvidia Location: Santa Clara, California Education: Bachelor of Technology, Electronics and Communication Engineering, Manipal University; MS, Electrical and Computer Engineering, Carnegie Mellon University Favorite areas: Natural language processing, autoML, and interpretable AI Favorite researchers: Christopher...
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Breaking Into AI: Juggling Work, Projects, and Personal Life With Kennedy Wangari
Kennedy Kamande Wangari got his first taste of AI just two years ago in Kenya. Since then, he has been sprinting towards a top-tier career by taking numerous online courses, working entry-level jobs, volunteering to grow his local AI community, and considering a startup. Next step: Earning a graduate degree. Kennedy shares lessons he learned from starting out at a breakneck pace and explains how he balances professional obligations with personal life.
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Working AI: Building Bespoke Models With Jade Abbott
Jade Abbott turned a childhood desire for a robotic best friend into a career training computers to understand human language. Having studied AI in school, she got her first job coding conventional software, but she found ways to apply machine learning to her work until that became central to her role. In the meantime, she founded an open source project to train NLP models on African languages. She spoke with us about her fascination with language, the importance of community, and how to incorporate wine into your learning practice.
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Event Ambassador Spotlight: Adrián Munguía
Adrián Munguía spent almost two decades working to create AI-powered products in key science and engineering roles at Silicon Valley startups and Fortune 500 corporations globally. In 2019, he founded AI MEXICO with an aim to educate AI professionals and create AI solutions for companies.
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Event Ambassador Spotlight: Steffen Konrath
Steffen Konrath studied business administration with a focus on marketing and computer science. He’s worked on numerous digital products and also created an AI community in Zurich called AI Suisse.He is fascinated with trying to find the truth beneath the surface and uses data for this purpose.
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Event Ambassador Spotlight: Yan Xu
Yan Xu completed her PhD in electrical engineering and currently works as a senior scientist at PROS Inc in Houston to develop innovative machine learning algorithms for pricing and sales effectiveness in e-commerce. She creates machine learning applications to drive business growth across industries and spends her spare time speaking on AI and ML-related topics in public.
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Event Ambassador Spotlight: Mo Rebaie
Hailing from Lebanon, Mo Rebaie completed his Bachelor’s in Math and Computer Science. He works as a deep learning engineer at Rebaie Analytics Group developing algorithms and creating prototypes for AI research labs and as an AI instructor at Coursera. He believes that providing opportunities via events, meetups, and panels can help foster a sense of community.
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Event Ambassador Spotlight: Ghaith Sankari
Ghaith Sankari graduated with a Bachelor’s Degree in AI and NLP from the University of Aleppo, Syria and now works in Dubai. Apart from being a DeepLearning.AI Event Ambassador, he’s also a mentor for our AI for Medicine Specialization. He believes in bringing people together to achieve collective excellence and make the world better.
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AI Event Ambassador Spotlight: Ayyüce Kızrak
A year ago, we started our Pie & AI Event Ambassador Program. Since then, 100+ highly accomplished Event Ambassadors have organized more than 200 Pie & AI events - attended by 40K+ learners from 45 countries! This week, Ayyüce Kızrak is an AI researcher at the Digital Transformation Office (The Presidency of The Republic of Turkey) and at the Department of AI Engineering at Bahçeşehir University. She believes that it’s her social responsibility to use AI for environmental good.
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