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Shadi Akiki, Data Scientist and Software Developer in Jacksonville, FL, United States
Shadi Akiki

Data Scientist and Software Developer in Jacksonville, FL, United States

Member since March 8, 2019
Shadi is now available for hire
Shadi Akiki, Data Scientist and Software Developer in Jacksonville, FL, United States
Shadi Akiki

Data Scientist and Software Developer in Jacksonville, FL, United States

Member since March 8, 2019
Since 2013, Shadi has been making a living as a data scientist & software developer. Institutions often hire him as the sole data scientist so he wears many hats to cover the full spectrum of tasks for data-oriented projects. His specialty is data modeling, but he’s also capable of creating databases and data pipelines, automation (data cleaning, model deployment), and building web platforms for end users to interact with the data or models.
Shadi is now available for hire



  • Data Engineering, 10 years
  • Data Pipelines, 10 years
  • Statistical Modeling, 10 years
  • Data Science, 10 years
Jacksonville, FL, United States



Preferred Environment


The most amazing... data science contributions I've made is the example code for Keras stateful LSTM and the Pandas generic correlation function.


  • Senior Data Scientist

    2016 - 2019
    BEMO Securitization
    • Built a core securitization application that organized their main business line.
    • Developed a web scraping application that wrapped a government website for Lebanese commercial registration.
    • Automated calculations in the securitization and integrated it into the core application.
    • Integrated blacklist name-matching software into their existing client database.
    Technologies: Python, Pandas, NumPy, Django, Scrapy
  • Senior Data Scientist

    2013 - 2019
    FFA Private Bank
    • Automated data pipelines.
    • Automated several processes (audit, compliance, treasury, risk management) for calculations and special reports.
    • Built a name-matching application for blacklisted people.
    • Created a trading blotter between the back office and asset management.
    Technologies: Python, Pandas, NumPy, Django
  • Senior Data Scientist

    2018 - 2018
    • Developed the main app for this startup in the field of cosmetics and artificial intelligence.
    • Succeeded in getting into the startup accelerator "Station F" in Paris.
    • Created a similarity algorithm between mascara products.
    • Built a web scraping tool to collect data about mascara from different public websites.
    Technologies: Python, Pandas, NumPy, SciPy, Django
  • Senior Data Scientist

    2016 - 2018
    G2 Capital
    • Created an automated video transcription service using IBM Watson speech recognition.
    • Developed a deep neural network for stock picking based on economic factors.
    Technologies: Keras, TensorFlow, Python


  • Namecheck (Development)

    The is a web application that matches your clients' names with names from UN/OFAC/EU blacklists as well as any lists that you might have yourself.

  • Keras’ Stateful LSTM Example (Development)

    This is the example code of Keras (a deep neural network library) for their LSTM, demonstrating how to use it in stateful or stateless mode.

  • Pandas’ Generalization of a Correlation Function (Development)

    The Pandas (a DataFrame manipulation library in Python)
    provided a correlation function with only predefined methods to use. My contribution was to enable it to support a generic user-provided calculation method, thus generalizing its usage to enable users to use it for histogram intersections.

  • Stack Overflow Reputation ~4,500 Points (Other amazing things)

    Stack Overflow is a public Q&A platform for different subjects such as programming, data science, and so on. I use it a lot for looking up answers to questions I have, for asking new questions, and whenever possible to provide answers to questions that do not have an answer yet.

    Through answering other people's questions, I have received over 4,500 points which demonstrates the value of my answers to others.

  • Blotter (Development)

    This is an electronic trading blotter to organize trading between two entities, e.g., between the back office desk and asset management desk within a bank for over-the-counter contracts.


  • Languages

    Python, R
  • Paradigms

    Data Science
  • Platforms

  • Storage

    Data Pipelines, PostgreSQL, MongoDB
  • Other

    Data Engineering, Statistical Modeling, Neural Networks
  • Frameworks

    Machine Learning, Apache Spark
  • Libraries/APIs

    TensorFlow, Keras


  • Certificate (expected in June 2019) in Artificial Intelligence
    2019 - 2019
    Pi School of Artificial Intelligence - Rome, Italy
  • Master's degree in Financial Engineering
    2009 - 2011
    École Polytechnique Fédérale de Lausanne - Lausanne, Switzerland
  • Bachelor of Engineering degree in Computer and Communications Engineering
    2004 - 2008
    American University of Beirut - Beirut, Lebanon
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