📍 Bandung, Indonesia
📧 fxhdmhmmd@gmail.com
🔗 LinkedIn | Portfolio
I am a Data Analyst & Data Scientist passionate about transforming raw data into actionable insights. With expertise in SQL, Python, Power BI, Tableau, and Machine Learning, I thrive on solving complex business problems with data-driven solutions. My experience spans customer segmentation, sentiment analysis, predictive modeling, and ETL pipeline optimization.
🚀 Currently exploring Business Intelligence, Data Engineering, and Advanced Machine Learning.
- Segmented 100,000+ customers using RFM analysis & clustering (K-Means, HDBSCAN) to enhance customer retention strategies.
- Optimized marketing spend and improved customer retention by 20%.
- Tools & Tech: Python, Pandas, Scikit-learn, Power BI, Tableau.
🔗 GitHub Repo | 📊 Tableau Dashboard | Deploy
- Built predictive models to identify at-risk customers using classification models (Logistic Regression, Random Forest, XGBoost).
- Simulated a 91% reduction in customer acquisition costs by improving retention efforts.
- Tools & Tech: Python, SQL, Scikit-learn, Power BI.
🔗 GitHub Repo| Deploy
- Processed & cleaned 50,000+ taxi trip records, ensuring data accuracy for analysis.
- Performed EDA & statistical analysis, identifying trends in fare distribution, trip duration, and tipping behavior.
- Hypothesis Testing: Conducted t-tests to compare tipping behavior between peak and off-peak hours (p < 0.05).
- Correlation Analysis: Found moderate positive correlation (r ≈ 0.65) between trip duration and fare.
- Tools & Tech: Python (Pandas, NumPy, Seaborn, Matplotlib), SQL, Tableau.
🔗 GitHub Repo | 📊 Tableau Dashboard
- Analyzed 100,000+ Tweets reviews to classify sentiments (Positive, Neutral, Negative).
- Implemented NLP techniques (TF-IDF, Word2Vec, LSTM) to improve sentiment accuracy.
- Tools & Tech: Python, NLTK, Scikit-learn, TensorFlow.
🔗 GitHub Repo | Deploy
- Programming & Data Analysis: Python (Pandas, NumPy, Scikit-learn), SQL, Power BI, Tableau.
- Machine Learning & AI: Classification, Clustering, NLP, Sentiment Analysis.
- Data Processing & ETL: Data Cleaning, Web Scraping, Feature Engineering.
- Business Intelligence: Data Visualization, Dashboarding, Google Data Studio.
⭐ If you like my work, consider giving it a star! ⭐
I'm always open to collaboration on data-related projects, research, and consulting. Feel free to reach out! 🚀