I'm Muhammad Fatoni! I'm aspiring to become a data professional, and I'm all about that hustle to keep learning and growing in the data game. I'm diving into the world of data analysis, data science, and data engineering. My formal education in Information Systems has provided a solid foundation, and I'm continuously expanding my knowledge and skills.
- Data Preparation
- Data Analysis
- Statistical Analysis
- Data Visualization
- Machine Learning
- Natural Language Processing
- ETL/ELT
- RDBMS
- Programming Languages: Python, R, SQL
- SQL Databases: MySQL, PostgreSQL
- Big Data Tools: Looker Data Studio, Tableau
- Others: Streamlit
- Increased return rate to 97%.
- Identified significant factors such as regional and social status that impact credit risk.
- Designed an ERD for database structure.
- Conducted Annual Customer Activity Growth Analysis.
- Conducted Annual Product Category Quality Analysis.
- Conducted Analysis of Annual Payment Type Usage.
- Conducted Monthly Hotel Booking Analysis Based on Hotel Type.
- Conducted Impact Analysis of Stay Duration on Hotel Bookings Cancellation Rates.
- Conducted Impact Analysis of Lead Time on Hotel Bookings Cancellation Rate.
- Improved targeting and personalization of marketing campaigns, leading to higher engagement and conversion rates.
- Enhanced campaign performance and customer satisfaction through personalized marketing efforts.
- Conducted detailed segmentation of customers based on demographics, interests, and behavior patterns to identify key groups most likely to engage with ads.
- Analyzed customer behavior data to uncover patterns and trends that influence ad-clicking behavior.
- Developed and trained various machine learning models including Logistic Regression, Decision Trees, Random Forest, Ada Boost, Naive Bayes, SVM, and K-Nearest Neighbors to predict ad clicks.
- Provided data-driven recommendations to optimize ad targeting strategies based on model insights.
- Simulated the impact of different ad targeting strategies to predict potential outcomes and ROI.
- Identify and analyze the key factors contributing to employee attrition.
- Develop a predictive model to identify employees who are likely to leave the organization.
- Conducted detailed analysis to identify the key factors influencing employee attrition, such as job satisfaction, work-life balance, and career development opportunities.
- Analyzed employee behavior data to uncover patterns and trends that contribute to attrition.
- Provided data-driven recommendations to optimize retention strategies based on model insights.
Feel free to connect with me for any collaboration or discussion on data-driven projects!