A results-driven Data Analyst and prospective Computer Engineering graduate, merging academic excellence with hands-on experience in transforming complex data into actionable insights.Technical Proficiencies:- Advanced Python programming with data science libraries: Pandas for data manipulation, Matplotlib and Seaborn for statistical visualization- Expertise in creating interactive dashboards and reports with Power BI, focusing on data-driven storytelling- Machine learning specialization in neural networks and tree-based models (decision trees, random forests, gradient boosting)- Proficient in developing efficient data pipelines for collection, cleaning, and transformation- Database management and SQL query optimization- Full-stack web development capabilities, demonstrating software engineering versatilityKey Projects:- Genetic Algorithm Class Scheduler: Engineered an automated scheduling system achieving 85% optimization rate for complex university timetabling- Titanic Survival Analysis: Developed predictive models using ML algorithms, incorporating feature engineering and statistical analysis- Web Analytics Pipeline: Created automated scraping systems to transform unstructured web data into strategic insights- Full-Stack Applications: Implemented responsive web solutions showcasing end-to-end development expertiseI possess an unwavering enthusiasm for leveraging data science and machine learning to address complex challenges. My approach integrates theoretical frameworks with practical applications, focusing on neural network architectures and tree-based methodologies. Currently seeking opportunities to expand my expertise in data analytics and machine learning while contributing to meaningful projects.Open to connecting with professionals and enthusiasts in data science and technology for knowledge exchange and collaboration.