Hadi Sharifi

AI Enthusiast and Researcher

As an enthusiastic AI researcher and practitioner, my journey of exploration and experimentation in the field spans nearly seven years. Driven by an insatiable appetite for learning, I have embarked on a continuous quest to deepen my knowledge and skills in artificial intelligence. My academic background, backed by a master's degree in data analytics/AI, has laid a strong foundation for my endeavors. Fueling my passion further, I have pursued personal projects, conducted research, and engaged in hands-on experimentation with AI technologies. Eager to share my experiences and insights, I have started an informative blog, offering a glimpse into my journey and discoveries.

Skills

• Proficient in conducting AI research and staying up-to-date with the latest developments.
• Skilled in performing thorough data analysis to extract meaningful insights for AI models.
• Curiosity and commitment to continuous learning, exploring new AI advancements and incorporating them into projects.
• Proficient in handling and preprocessing large datasets for AI model training.

Data Analytics Master Degree Project

The Feature Level Forecasting Tool (FLFT) is a cutting-edge project leveraging machine and deep learning algorithms to forecast Average Selling Price (ASP). This project involves meticulous data collection, cleaning, and statistical analysis to identify the most relevant and independent data set. The use of linear regression analysis confirmed the data's readiness, with a coefficient of determination of 0.92. Subsequently, 22 regression models were built and tested, with 12 selected algorithms demonstrating an R-squared of more than 0.92, signifying their ability to describe 92% of the data. FLFT also provides a user-friendly Jupyter notebook-based interface, facilitating easy financial forecasting for future products, and benefiting the financial team with its efficiency and accuracy.