I am a Data Analyst with a deep-seated passion for transforming raw, complex data into strategic assets that drive business decisions. My foundation in Computer Science Engineering, combined with hands-on experience in the end-to-end data lifecycle, has equipped me with a robust analytical mindset. I thrive on the challenge of dissecting intricate business problems, structuring data, and building compelling narratives that empower stakeholders to act with confidence.
My technical expertise is centered around the modern data stack, ensuring a comprehensive approach to data analysis. I am highly proficient in SQL (including Google BigQuery and MySQL) for sophisticated data querying, cleaning, and transformation (ETL). My skills in Python allow me to further augment my analytical capabilities. For translating findings into actionable insights, I leverage a suite of BI and visualization tools, including Looker Studio, Tableau, and Microsoft Power BI, to build dynamic, interactive dashboards and reports.
Beyond the technical tools, my core data competencies include ensuring Data Quality and Validation, performing Data Modeling, and conducting Statistical Analysis. I am a strong believer that the most powerful insights are born from a combination of technical rigor and crucial soft skills. I pride myself on my Analytical Thinking, meticulous Attention to Detail, and clear Communication, which enable me to effectively gather requirements and collaborate with teams to solve meaningful, real-world problems. I am currently seeking an apprenticeship where I can apply my skills to make a tangible impact and continue my growth within a data-driven organization.