Having completed my Bachelor of Science in Computer Science, I am now advancing my expertise through a Master's program in Artificial Intelligence and Data Science. This academic path has ignited my passion for data analysis and machine learning. I am driven by the challenge of interpreting complex data sets and leveraging this information to solve real-world problems.
My career vision extends beyond traditional data roles—I am deeply enthusiastic about motorsports and aspire to integrate cutting-edge technology and data science within the racing industry. My goal is to be at the forefront of racing teams, where I can apply my skills in AI and analytics to enhance performance and strategy, bridging the gap between technology and high-speed competition.
Expert in SQL-based database systems including MySQL, PostgreSQL, and Microsoft SQL Server. Skilled in designing, implementing, and maintaining relational databases with a focus on performance optimization and data integrity.
Proficient with NoSQL databases such as MongoDB, Cassandra, and Redis. Experienced in utilizing NoSQL technology for high-velocity, large-scale data operations requiring flexibility and scalability.
Knowledgeable in data warehousing solutions with tools like Amazon Redshift, Google BigQuery, and Snowflake. Capable of constructing and managing data warehouses to support business intelligence and data analytics initiatives.
Skilled in optimizing and tuning database performances through indexing, query optimization, and cost-based analysis to ensure efficient data retrieval and processing.