Data Scientist with comprehensive experience in data SQL development, and data engineering using Python, Microsoft Azure, and machine learning techniques. Adept at evaluating AI-generated solutions, optimizing SQL queries, and analyzing large datasets to drive actionable insights. Contributed to high-impact projects such as sentiment analysis for British and agricultural data visualization for ineuron.ai, improving operational efficiency and decision-making processes. Proficient in building ETL/ELT pipelines and leveraging big data tools like Apache Spark to enhance performance.