About Me
About Me
I am a passionate and results driven Data Scientist with a strong background in data analysis, machine learning, and statistical modeling. With hands on experience in SQL, Python, and deep learning, I excel at uncovering insights from complex datasets and building predictive models that drive business decisions.
I have worked on projects such as handwritten digit recognition using deep neural networks and analyzing Netflix datasets using SQL, which have strengthened my skills in data wrangling, feature engineering, and model optimization. My expertise spans across data visualization, exploratory data analysis EDA, and deploying machine learning models to solve real world problems.
I am always eager to explore innovative ways to leverage data for actionable insights and business growth. Whether it’s optimizing a recommendation system, forecasting trends, or automating workflows.
Let’s connect and explore how data can drive meaningful decisions!
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