Ammar Jawad D.

Ammar Jawad D.

London, England, United Kingdom
6K followers 500+ connections

About

As a Principal Product Manager at Microsoft, I lead product management for Selection &…

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Experience

  • Microsoft Graphic

    Microsoft

    London, England, United Kingdom

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    London Area, United Kingdom

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    London Area, United Kingdom

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    London, England, United Kingdom

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    London, England, United Kingdom

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    London, United Kingdom

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    Royal Leamington Spa, England, United Kingdom

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    Copenhagen, Capital Region, Denmark

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    Copenhagen Area, Denmark

Education

  • Copenhagen Business Academy Graphic

    Copenhagen Business Academy

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    Graduated with a Bachelor's degree in International Sales & Marketing Management, Cphbusiness, specialised in International Business & Strategy.

    ● Finished 2nd at the cross-disciplinary Case Competition in 2012

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    Learn cutting-edge deep reinforcement learning algorithms—from Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients (DDPG). Apply these concepts to train agents to walk, drive, or perform other complex tasks, and build a robust portfolio of deep reinforcement learning projects.

    - Among the top 2% of students awarded a scholarship for this program by Facebook AI Research and Udacity

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    The Deep Learning Nanodegree program offers you a solid introduction to the world of artificial intelligence. In this program, you’ll master fundamentals that will enable you to go further in the field, launch or advance a career, and join the next generation of deep learning talent that will help define a beneficial new AI-powered future for our world. You will study cutting-edge topics such as Neural Networks, Convolutional Networks, Recurrent Neural Networks, Generative Adversarial Networks,…

    The Deep Learning Nanodegree program offers you a solid introduction to the world of artificial intelligence. In this program, you’ll master fundamentals that will enable you to go further in the field, launch or advance a career, and join the next generation of deep learning talent that will help define a beneficial new AI-powered future for our world. You will study cutting-edge topics such as Neural Networks, Convolutional Networks, Recurrent Neural Networks, Generative Adversarial Networks, and build projects in PyTorch. You'll learn from authorities such as Sebastian Thrun, Ian Goodfellow, and Andrew Trask, and participate in our Experts-in-Residence program, where you’ll gain exclusive insights from working professionals in the field. For anyone interested in this transformational technology, this program is an ideal point-of-entry.

    - Among the top 3% of students granted a scholarship by Facebook AI Research. Certificate: https://confirm.udacity.com/JGGJTKEM

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    The Machine Learning Engineer Nanodegree program will equip students with key skills, including data analysis and artificial intelligence, which will prepare them to fill roles with companies seeking machine learning experts (or to introduce machine learning techniques to their organizations). Many experts in this field go on to create new businesses as well, leveraging the vast capabilities of machine learning.

    Progress: 97% completed.

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    Graduated with an AP-Degree in Marketing Management, Niels Brock, specialised in Design and Communication.

Licenses & Certifications

Volunteer Experience

  • Product School Graphic

    Featured Speaker

    Product School

    - Present 6 years 5 months

    Education

    Delivering talks on artificial intelligence, machine learning, applied statistics and product management in London.

    https://www.productschool.com/instructor/ammar-jawad/

  • IAB Tech Lab Graphic

    General Member

    IAB Tech Lab

    - Present 3 years 1 month

    Member of the following IAB Tech Lab groups:
    - Privacy & Rearc Commit Group working on technology standards and guidelines relating to global privacy, identity and regulatory compliance.
    - Privacy Enhancing Techniques working on techniques within data science and cryptography to ensure user privacy.

  • Copenhagen Business Academy Graphic

    Guest Lecturer

    Copenhagen Business Academy

    - Present 4 months

    Education

    Teaching effective use of prompt engineering for LLMs in marketing.

Publications

Courses

  • Advanced Excel

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  • Business Law

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  • Design

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  • Economics

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  • Financial Management

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  • German

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  • Global Communication

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  • Global economics

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  • International Business & Strategy

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  • International Business Development

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  • International Business Law

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  • International Marketing

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  • Introduction to Business Analysis

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  • Introduction to BusinessObjects

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  • Introduction to ExtTracked

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  • Introduction to PeopleSoft

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  • Introduction to SharePoint

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  • Logistics

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  • Market communication

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  • Methodology and theory of science

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  • Organisation and Logistics

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  • Organisational Leadership

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  • Sales and Marketing

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Projects

  • Sentiment Analysis on IMDB reviews using RNNs deployed via AWS SageMaker

    In this project you will construct a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. You will create this model using Amazon's SageMaker service. In addition, you will deploy your model and construct a simple web app which will interact with the deployed model.

    See project
  • Generate celebrity faces using GANs

    In this project, you'll define and train a DCGAN on a dataset of faces. Your goal is to get a generator network to generate new images of faces that look as realistic as possible!

    The project will be broken down into a series of tasks from loading in data to defining and training adversarial networks. At the end of the notebook, you'll be able to visualize the results of your trained Generator to see how it performs; your generated samples should look like fairly realistic faces with…

    In this project, you'll define and train a DCGAN on a dataset of faces. Your goal is to get a generator network to generate new images of faces that look as realistic as possible!

    The project will be broken down into a series of tasks from loading in data to defining and training adversarial networks. At the end of the notebook, you'll be able to visualize the results of your trained Generator to see how it performs; your generated samples should look like fairly realistic faces with small amounts of noise.

    See project
  • Generate a Seinfeld TV script using RNNs

    In this project, you'll generate your own Seinfeld TV scripts using RNNs. You'll be using part of the Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new, "fake" TV script, based on patterns it recognizes in this training data.

    See project
  • Dog-Breed Classifier using CNNs

    Welcome to the Convolutional Neural Networks (CNN) project! In this project, you will learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human face, the code will identify the resembling dog breed.

    Along with exploring state-of-the-art CNN models for classification, you will make important design decisions about the user experience for your app. By…

    Welcome to the Convolutional Neural Networks (CNN) project! In this project, you will learn how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, your algorithm will identify an estimate of the canine’s breed. If supplied an image of a human face, the code will identify the resembling dog breed.

    Along with exploring state-of-the-art CNN models for classification, you will make important design decisions about the user experience for your app. By completing this lab, you demonstrate your understanding of the challenges involved in piecing together a series of models designed to perform various tasks in a data processing pipeline.

    See project
  • Tryg Case Competition: Cphbusiness

    ● Finished 2nd at the annual cross-disciplinary Case Competition 2012.

    Other creators
    See project
  • Kaggle: Medical Appointment No Shows

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    Why do 30% of patients miss their scheduled appointments?
    This dataset contains 300k medical appointments of the public healthcare of the capital city of Espirito Santo State, Vitoria, Brazil and 15 features (characteristics) for each record.

    See project
  • Udacity: Identify Fraud from Enron Email

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    In this project, I applied my machine learning skills by building a model to identify Enron Employees who may have committed fraud based on the public Enron financial and email dataset. Click "See project" to see my analysis.

    See project
  • Kaggle: Porto Seguro’s Safe Driver Prediction

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    Finished in the top 11% of the Porto Seguro Kaggle competition to predict the probability that a driver will initiate an auto insurance claim in the next year.

    The team's participation in the Kaggle competition was primarily for Justina to mentor Ammar and Matthew in applying machine learning to solve practical business problems.

    Other creators
    See project

Honors & Awards

  • Awarded for 'Innovative solutions and Problemsolving skills'

    The Danish Ministry of Social Affairs, Children and Integration

    Awarded in Denmark by the Ministry of Integration in 2010 for my team's unique ability to provide practical and innovative solutions helping to increase the acquisition and retention of immigrants for universities in Denmark. Our project was one out of three that won and was funded and implemented by the Ministry of Integration out of several hundred projects designed by 200 experts, mentors and role models at a bootcamp in Svendborg, Denmark.

Languages

  • English

    Native or bilingual proficiency

  • Swedish

    Limited working proficiency

  • Danish

    Native or bilingual proficiency

  • Norwegian

    Limited working proficiency

  • Arabic

    Native or bilingual proficiency

  • German

    Limited working proficiency

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