Michael Rantisi Email & Phone Number

Vilnius, Lt

Vilniaus, Lithuania

• Redesigned the optimizer algorithm, enhancing the reliability and accuracy of machine learning models.• Developed scripts for data aggregation and preprocessing to optimize training datasets, which achieved a 15% performance increase. • Enabled efficient parallel processing to improve the speed and scalability of model training, contributing to projects .• Implemented API endpoints for seamless data integration, conducted code refactoring for maintainability, and created a real-time performance monitoring dashboard. • Improved forecasting accuracy using advanced machine learning techniques such as Gradient Boosting Machines (GBMs)

as an Intern at Oeson my projects and contributions include:Enhanced Diagnostic Capabilities for Skin Diseases: Led machine learning and data visualization projects, improving diagnostic capabilities for various skin diseases. Developed robust models for image processing and recognition using a comprehensive toolkit including Scikit-Learn, Pandas, PyTorch, TensorFlow, and NumPy, facilitating data-driven decision-making and predictive modeling.Financial Fraud Detection: Utilizing a loan dataset from the World Bank, Michael executed a complete data analysis to develop a machine learning model identifying potential defaulters. This project aims to enable the bank to formulate cautious strategies for managing default risks, significantly contributing to financial security and risk management.E-Commerce Consumer Purchase Forecasting: In this project, Michael focused on predicting e-commerce customer purchases through exploratory data analysis, data preprocessing, model development, and evaluation. The Decision Tree model was identified as the most effective, providing actionable insights for strategic business implementations.Stock Performance Analysis: Analyzed stock performances of major tech companies over a five-year period, employing regression models and descriptive statistics. This project offered valuable insights into market correlations, investment strategies, and the volatility of tech stocks, aiding in informed decision-making for investors.Global Job Market Analysis: Analyzed job portal data to extract insights on data-related job roles, including job designations, salary trends, and employment types across the globe. This analysis aids recruiters in understanding job requirements and salary expectations, enhancing recruitment strategies for data-related roles.

Birzeit, Westbank

as an intern at SinaLab in the University of birzeit i did the following:Assist in the development of open-source lexicographic databases, datasets, annotated corpora, and NLP tools.• Conduct research and experimentation to enhance Arabic Natural Language Processing and Understanding techniques.• Collaborate with the team to design and implement machine learning models and algorithms.• Contribute to the creation and maintenance of knowledge graphs and ontologies.• Participate in data engineering tasks, including data acquisition, cleaning, and preprocessing.

Ramallah, West Bank

learned knowledge of server operating systems.learned java in order to build android applicationsServed as a dedicated and supportive Intern in a fast-paced environment.Worked well independently and on a team to solve problems.

Master'S Degree, Artificial Intelligence Systems

Bachelor Of Engineering - Be, Computer Engineering, 3.5/4

Data Science And Machine Learning: Making Data-Driven Decisions

Data Science and Machine Learning: Making Data-Driven Decisions

Artificial Intelligence

in this course i have learned about Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs) Predict Stock Returns Time Series.

Data Science

intensive course linked with the company of IBM regarding data science and machine learning