Highly motivated individual with expertise in programming languages such as C, C++, and Java, adept at data mining and machine learning. Skilled in Python, R, SQL, Tableau, and Power BI, with a solid foundation in design…
Highly motivated individual with expertise in programming languages such as C, C++, and Java, adept at data mining and machine learning. Skilled in Python, R, SQL, Tableau, and Power BI, with a solid foundation in designing visual depictions of data. Showcased abilities in analyzing and comprehending data, identifying patterns and trends, and accomplishing notable projects, such as designing a machine learning model to anticipate customer turnover.
Implemented Comprehensive Exploratory Data Analysis processes, identifying and addressing outliers using the IQR and winsorization methods, resulting in a cleaner dataset and improved data integrity.
Utilized machine learning techniques to partition data into train and test datasets, allocating 70% of the data for training and 30% for testing purposes, ensuring accurate model evaluation.
Deployed advanced machine learning models such as random forest and neural networks, achieving an impressive 78% accuracy with random forest and a remarkable 98% accuracy with neural networks, leading to more precise predictions.
Conducted through preprocessing steps, including Exploratory Data Analysis(EDA) to understand data characteristics and detect outliers.
Generated statistical values to assess data distribution, facilitating comprehensive insights into the overall data distribution.
Developed an interactive dashboard using Power BI, delivering a valuable report showcasing key findings and insights derived from the data analysis process.
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