I am a Computer Science Engineering graduate intending to leverage my academic and project experiences to tackle real-world, data-driven challenges. Given my academic background in data and cloud computing, I have gained proficiency in designing scalable data pipelines using Apache Spark, Hive, and SQL, and in transforming data into actionable insights with Power BI.
E-commerce big data analysis
In November 2024, I developed a scalable big data pipeline using Apache Spark, Hive, and Scala to clean, transform, and store large-scale e-commerce transactional data, implemented custom schemas and partitioning for optimized performance, and created interactive Power BI dashboards to uncover actionable insights such as regional sales performance, customer behavior patterns, and product demand trends, showcasing real-world analytical applications.
Noted Cinema
crafted a responsive movie review website featuring comprehensive reviews, categorized sorting of films, and personalized recommendations, helping users select movies according to their preferences
Streamlined movie reviews, reducing time by optimizing user interactions, and handling requests efficiently through an intuitive interface and real-time updates, utilized HTML, CSS, JavaScript, and MySQL for seamless development and data management