Antonio Ishac Email & Phone Number

Mount Lebanon Governorate, Lebanon

Lebanon

Bots Development:Design and develop bots that imitate human behavior to automate the collection of data forApplication-to-Person (A2P) messaging models.Implemented and trained Random Forest models for live detection, KNN, ensuring accurateand real-time analysis of the collected data. Optimized the models for performance andscalability.Develop and implement.

Beirut, Beirut Governorate, Lebanon

Software Development and Maintenance:Assist in the development of software applications using C# and Python.Write, test, and maintain code to ensure it meets quality standards and performs effectively.Participate in integrating software components and third-party libraries.Identify and resolve bugs and issues in existing code.Perform unit testing and.

Hazmiyya, Mount Lebanon Governorate, Lebanon

Design and Development:Design, develop and maintenance of high-performance C++ and Python applications.Develop and optimize algorithms and data structures to meet high-performance andscalability requirements.Collaborate with cross-functional teams to understand requirements and translate theminto technical specifications.Define success criteria such as.

Dora

• International Paints Fair is a comprehensive hub store for construction needs, offering an extensive selection of materials and tools.Catering to both professional builders and DIY enthusiasts, its expert staff is.
• Data Science Integration and Digitalization: Integrated data science into the business by digitalizing stock and daily sales data. Implemented algorithms on Python using libraries such as Pandas, NumPy, Scikit-learn.
• Machine Learning and Data Preprocessing: Worked with Python to preprocess data, extracting relevant features for machine learning algorithms.Developed models to determine the optimal number of items to add to the daily.
• Business Insights and Analysis: Utilized analytical and technical expertise to provide actionable insights and proposals for business improvements.Actively engaged in analyzing multiple models to address specific.

Beirut, Lebanon

• Subject: “Fake news detection, using Machine Learning and Deep Learning”
• Worked on multiple and large datasets containing tweets from Twitter and news from other platforms
• Implemented algorithms in Python using Pandas, NumPy and scikit-learn to create a file of the features used in the process. I extracted 5 features: Sentiment of each tweet which is a number between -1 and 1, Text.
• Trained and tested machine learning algorithms like Support Vector Machines (SVM), Naïve Bayes and K-nearest neighbors(KNN). Naïve Bayes got a precision score of 96% and KNN got a precision score of 80%
• Trained and tested a deep learning algorithm called Long-short term memory(LSTM) and got a precision score of 99.8%

Master'S Degree, Data Science

Nano Degree, Artificial Intelligence For Trading

Bachelor Of Science - Bs, Mathematics