About Me
I’m a results driven Data Analyst with a passion for extracting meaningful patterns from complex datasets. My technical toolkit includes machine learning techniques, SQL/Oracle for efficient data querying, and Python for data manipulation, analysis, and automation. I also have extensive experience in Excel for dashboards and reporting, and a solid understanding of DBMS concepts for effective data storage and retrieval.
I have worked on projects involving predictive analytics, performance reporting, business intelligence, and data visualization, using tools like pandas, NumPy, matplotlib, seaborn, and scikit learn. Whether its cleaning messy data or building end to end analytical solutions, I enjoy every part of the data pipeline.
I thrive in collaborative environments, love problem solving, and am always eager to learn new tools and techniques in the evolving field of data science and analytics.
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