I am a data analyst with 2.9 years of hands-on experience in managing and analyzing data sets to address complex business challenges. My expertise spans data cleaning, transformation, and ensuring high data quality, which I leverage to extract actionable insights that drive informed decision-making. I am skilled in using visualization tools like Tableau and Power BI to effectively communicate these insights to stakeholders.Additionally, I have a solid understanding of cloud concepts and am proficient in AWS services, including S3, QuickSight, EC2, and Redshift, which I utilize for efficient data storage, processing, and analysis. My technical proficiency extends to machine learning, where I have experience building predictive models, performing classification, and using algorithms to solve data-related problems. I regularly employ tools like Scikit-learn and tensorflow in these efforts.My analytical approach, combined with machine learning expertise, allows me to contribute meaningfully to data-driven strategies that support organizational objectives..
During the lockdown period, I played a pivotal role in the successful launch of approximately 110 Amazon delivery stations. This involved coordinating with multiple stakeholders to ensure all necessary configurations were completed efficiently and on time. Additionally, I developed a Quick Sight dashboard that provided comprehensive visibility into team metrics, enabling real-time performance monitoring and data-driven decision-making. This initiative not only demonstrated my strong project management and collaboration skills but also ensured that delivery operations could effectively scale to meet the increased demand during a challenging period.