Perkasa M.

As enthusiastic data professional working in manufacturing, utilizing data to analyze material management, production planning, and production progress. As a planner, I have successfully analyzed the material requirements for exports from Japan using Excel, predicting when materials will be depleted three months in advance. -Prediction of Churn in Telco Companies. [[login to view URL]] Successfully utilized machine learning to increase retention and acquisition costs by 20%, analyzed churn across various customer segments, and developed a model with an 82% machine learning performance metric, emphasizing acquisition costs. Keywords : Machine Learning, Unsupervised Learning, Recall, Logistic Regression -Analyze the sales performance of SaaS services on AWS. [[login to view URL]] Conducted comprehensive data understanding of SaaS services sales dataset on AWS, including sales dates, unit quantities sold, and pricing; performed outlier analysis to uncover patterns and trends in anomalies; and analyzed sales growth by examining customer purchasing patterns, product performance, and industry trends. Keywords : Statistics, Data Visualization, Analysis, Python, Matplotlib, Descriptive Statistics, Hyopethesis Testing,