Arini Arumsari Email & Phone Number

West Jakarta, Jakarta, Indonesia

• Conducted quantitative market research to identify target market segments with 200 respondent, and after that Developed data visualization dashboards to communicate insights to stakeholders.• Gather, analyze, and interpret marketing data from various sources like website analytics (Google Ad Manager, Google Analytic), and social media metrics (Instagram, Tiktok, Youtube, Twitter, Facebook).• Communicate effectively with various teams like marketing, sales, and product development.• Generate monthly reports using CrowdTangle data analysis to measure social media impact.• Translate complex data insights into clear and concise reports and presentations for stakeholders across the organization.

- Data Exploration to get character, patterns, and relationships between variables. Detect outliers,check variable correlations using Python(Pandas, NumPy, & Matplotlib) & perform datapreprocessing tasks.- Preprocessing and Cleaning data by handling missing values, correcting errors, detecting outliers,transforming variables, scaling features, encoding categorical data, integrating diverse sources,feature selection, and ensuring data quality using SQL.- Selecting the right Machine Learning algorithm for credit risk prediction involves consideringLightGBM Models. Evaluating their effectiveness using metrics like accuracy, precision, recall. F1-score, Area Under the ROC Curve (AUC-ROC)

Indonesia

- Demonstrated proficiency in Microsoft Excel and applied end-to-end data processing skills usingSQL to optimize data analysis processes, create clean datasets, and provide valuable insights forinformed business decision-making.- Leveraged data visualization and analysis expertise to generate comprehensive reports and visualrepresentations, enabling Bank Muamalat to gain valuable insights and make informed businessdecisions.- Successfully designed and developed interactive sales dashboards from raw data. Demonstratedthe capability to present complex sales information in a user-friendly manner. Provided valuablesuggestions to maintain and improve sales based on the insights derived from the salesdashboard.

Pasuruan, East Java, Indonesia

Data Science, 88.78/100

Materials: Data Science methodology, SQL, Pyhton Programming, Data Processing (Pandas, Numpy), Data Visualization (Matplotlib, Seaborn.

Engineer'S Degree, Chemical Engineering, 3.34