About Me
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.
Experience
Implemented ML model for wind turbine failure detection
<p>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.<br>
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.<br>
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.</p>
Conducted comprehensive analysis on Walmart dataset
<p>Conducted through preprocessing steps, including Exploratory Data Analysis(EDA) to understand data characteristics and detect outliers.<br>
Generated statistical values to assess data distribution, facilitating comprehensive insights into the overall data distribution.<br>
Developed an interactive dashboard using Power BI, delivering a valuable report showcasing key findings and insights derived from the data analysis process.</p>