Ali Naki

I am an aspiring data analyst with a B.Tech in Computer Science & Engineering from Lovely Professional University, focused on transforming data into actionable insights. My academic work emphasized Data Analytics, Database Management Systems, Machine Learning, and Statistics.

I have built end-to-end projects including a diabetes prediction model using Python, Pandas, and Scikit-learn, a Fire Weather Index regression analysis with Matplotlib visualizations, and a Flask web app scraper using BeautifulSoup. These projects demonstrate my skills in data preprocessing, feature selection, model evaluation, and data visualization.

I published a research paper titled “Advances in Sentiment Analysis: A Comprehensive Review of Technique and Application” (ICCMST 2024), showcasing my ability to contribute to academic research and synthesize complex technical literature.

I hold practical certifications in data analytics and SQL, and I bring strong problem-solving, communication, and teamwork skills. I seek opportunities to apply machine learning and analytics skills to real-world business problems and continue growing as a data professional.