Mahdi Mamouri

Founder at ManyTongues
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Contact Information
us****@****om
(386) 825-5501
Location
Sydney, New South Wales, Australia, AU
Languages
  • English Full professional proficiency
  • Persian Native or bilingual proficiency
  • Arabic Limited working proficiency

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5.0

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Mark Ghiasy

Mahdi is a great guy, and has a diverse skill set in Full stack, Web & Mobile app dev.. l think he is a great resource on any project..

LinkedIn User

Mahdi is a talented and creative data engineer as well as a great technical advisor. His skill in analyzing and visualizing complex sets of data is a combination that can rarely be found in one individual. He had built the systems to extract the data from multiple sources, aggregate them, and find the interesting patterns in them using data mining. He also has created collections of internal dashboards to facilitate the reporting and analysis of proprietary data source. He's a truly gifted data and technical analyst, self-taught and quite brilliant.

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Experience

    • Australia
    • E-Learning Providers
    • 1 - 100 Employee
    • Founder
      • Sep 2019 - Present

      Don't waste time to find what you would need to do to pass the reading component of the reading test successfully. ManyTongues provides contents, practices, vocabularies, and everything else you need in one place. Don't waste time to find what you would need to do to pass the reading component of the reading test successfully. ManyTongues provides contents, practices, vocabularies, and everything else you need in one place.

    • Software Development
    • Founder
      • Aug 2019 - Present

      No more receipts scattered in shoe boxes, or in phone's photos gallery. Make your life and your accountant's life easier. The shoebox detects all important information from a receipt automatically, and classify them into a different set of expenses account. Everything you need in one place. • Technologies Used: Flutter, ARKit 3, ARCore, TensorFlow, AWS Lambda, AWS API Gateway, AWS Textract No more receipts scattered in shoe boxes, or in phone's photos gallery. Make your life and your accountant's life easier. The shoebox detects all important information from a receipt automatically, and classify them into a different set of expenses account. Everything you need in one place. • Technologies Used: Flutter, ARKit 3, ARCore, TensorFlow, AWS Lambda, AWS API Gateway, AWS Textract

    • Software Development
    • 1 - 100 Employee
    • Principle Machine Learning Engineer
      • Mar 2018 - Feb 2020

      We are a team of data scientist, data visualization creatives, and digital storytellers that excel in using data science, machine learning, and data mining to extract meaningful business insight and data, and specialize in representing them in engaging interactive digital stories to broadcast the organization's visions to their customers, shareholders, and the broader community. We are a team of data scientist, data visualization creatives, and digital storytellers that excel in using data science, machine learning, and data mining to extract meaningful business insight and data, and specialize in representing them in engaging interactive digital stories to broadcast the organization's visions to their customers, shareholders, and the broader community.

    • Australia
    • Computer Games
    • Founder and Creative Director
      • Dec 2018 - May 2019

      We are a team of digital storytellers that love to bring a unique experience for children to help them be entertained, learn something new, and to allow them to grow up to healthier calmer adults. https://www.happyzebra.app/ We are a team of digital storytellers that love to bring a unique experience for children to help them be entertained, learn something new, and to allow them to grow up to healthier calmer adults. https://www.happyzebra.app/

    • United States
    • Telecommunications
    • 1 - 100 Employee
    • Data Scientist
      • Mar 2016 - Mar 2019

      I was proud to work on the development of an award-winning Call Reporting and Call Analytics Software from its early days until it grows into mature software. In a relatively short period of time with a small but focused team, I was able to build pipelines to collect data from various type of telephony systems with an incompatible data model. In addition to collecting and aggregating performance data, our ETL pipelines perform a number of data extraction, report generation, and data optimisation to provide a rich set reporting displays to our valued customers. Our humble front-end grow into a fully-fledged UI with capabilities required by companies in the size of Fortune 500 to small call centres operated in 60+ countries around the world. • Technologies Used: Node.js, Python, Typescript, React, AWS, PostgreSQL, DynamoDB, Redis Show less

    • Iran
    • Software Development
    • 1 - 100 Employee
    • Senior System Developer
      • Jan 2011 - Mar 2016

      In Ganjafzar, I was in charge of building system application to create a complete telephony communication system over VoIP. • Technologies Used: Python, Qt Design, Flask, MySQL, AWS In Ganjafzar, I was in charge of building system application to create a complete telephony communication system over VoIP. • Technologies Used: Python, Qt Design, Flask, MySQL, AWS

Community

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