• Power BI – Demo Dashboards
  September 2024

  • Developed interactive dashboards to analyze and visualize key metrics in various domains:
    • Global Living Conditions Dashboard
    • Crime Against Women in India Dashboard
    • Makeup and Skincare Dashboard

• Customer Lifetime Value (CLV) Prediction – Machine Learning
  August 2024 | Auto Insurance Sector

  • Developed a predictive model for Customer Lifetime Value (CLV) to enhance segmentation and strategic decision-making.
  • Responsibilities:
    • Analyzed vehicle insurance customer data to extract actionable insights.
    • Built a CLV predictor using machine learning techniques and RFM analysis to prioritize high-value customers.
    • Provided resource allocation strategies to improve customer retention.
    • Created an interactive Auto Insurance Dashboard for real-time CLV monitoring.

• Customer Churn Prediction – Machine Learning
  July 2024 | Telecommunications Company

  • Developed a predictive machine learning model to forecast customer churn in a telecommunications company.
  • Responsibilities:
    • Cleaned and preprocessed data to handle missing values and outliers.
    • Enhanced model performance through advanced feature engineering.
    • Applied machine learning techniques including Logistic Regression, Random Forests, and Gradient Boosting.
    • Achieved notable recall in predicting churn.
    • Conducted model evaluation using cross-validation, and visualized results with Matplotlib and Seaborn.
    • Deployed the model on Google Cloud Platform for real-time predictions and user interaction.

• Amazon SaaS Sales Analysis – Data Analysis
  May 2024

  • Conducted in-depth analysis of SaaS sales data from Amazon to refine pricing strategies and identify growth opportunities.
  • Responsibilities:
    • Analyzed correlations between variables to understand their impact on sales performance.
    • Examined product influence and customer segment impact on sales outcomes.
    • Assessed geographical data to uncover regional trends and opportunities.
    • Created Tableau dashboards to present insights, track performance, and support decision-making.

• Rental Housing Program – Python Development
  March 2024 | Personal Project

  • Developed a robust Python-based authentication system for role-based user login (admin or user).
  • Responsibilities:
    • Implemented secure login functionality with distinct roles and access permissions.
    • Enabled user registration, profile management, and password recovery features.
    • Developed dynamic routing to tailor user experiences based on their roles, improving usability.
    • Facilitated comprehensive data management with CRUD operations for rental records.

• Programming Languages: SQL, Python, DAX
• Data Visualization: Tableau, Power BI, Excel, Matplotlib, Seaborn
• Data Science & Analytics:
  • Machine Learning (Supervised Learning, Model Evaluation, Hyperparameter Tuning)
  • Statistical Analysis (Hypothesis Testing, Regression Analysis, Probability Theory)
  • Data Wrangling
• Cloud Computing: Google Cloud Platform, Amazon Cloud Services
• Languages: Indonesian, English, Russian
• Soft Skills: Analytical Thinking, Problem-Solving, Effective Communication, Team Collaboration, Time Management, Adaptability, Critical Thinking

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