رنا م.

I am a Data Scientist passionate about using data-driven solutions to solve real-world problems. I have hands-on experience in Python, data preprocessing, and building machine learning models such as regression, classification, clustering, and optimization techniques. I am skilled in Pandas, NumPy, and algorithms, with a solid background in programming and software engineering basics. I have also worked with databases including SQL, MySQL, and MongoDB, and I am familiar with deploying models using Streamlit. My knowledge extends to deep learning fundamentals, time series forecasting with LSTM, and basic NLP techniques like text preprocessing and Bag-of-Words. I enjoy analyzing data, improving model performance, and continuously learning new methods in AI and machine learning. My goal is to bridge the gap between research and practical applications while contributing to impactful projects.