Arif Styawan's Portfolio
I'm a fresh graduate from Mathematics major with a strong interest in pursuing a career in the field of data, focusing on data analysis and machine learning skills. I have proficiency in analytical skills and tools such as Excel/Spreadsheets, Python, SQL, and Tableau. I also have an understanding of machine learning algorithms and frameworks such as TensorFlow, Scikit-learn, Keras, and PyTorch.
I have a strong passion for exploring new things and enjoy tackling complex data-related challenges.
DATA ANALYSIS PROJECT
Sales Dashboard Using Tableau
B A C K G R O U N D
This project aims to build a sales dashboard using Tableau to help stakeholders analyze sales performance.
O B J E C T I V E
Sales dashboard is to present an overview of the sales metrics and trends in order to analyze year-over-year sales performance and understand sales trends.
MACHINE LEARNING PROJECT
Stunting Prediction Using Neural Network
B A C K G R O U N D
Stunting is a serious public health issue that affects millions of children worldwide. Early identification of stunting can help prevent long-term health problems. Therefore, this project aims to develop machine learning algorithms to detect stunting based on various variables, including name, age, gender, weight, and height. The resulting output consists of two categories: stunting or not.
O B J E C T I V E
Developing a machine learning model for stunting prediction with an accuracy above 88% using real data.
T O O L S
Python, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Google Colab
MACHINE LEARNING PROJECT
Sales Forecasting Using ARIMA Model
B A C K G R O U N D
I play role as a Data Scientist at Kalbe Nutritionals and are working on a new project from the inventory team. The goal of this project is to predict the estimated quantity of products that will be sold, allowing the inventory team to maintain sufficient daily stock levels.
O B J E C T I V E
Developing a time series machine learning model using ARIMA.
T O O L S
Python, Pandas, NumPy, Matplotlib, Google Colab
MACHINE LEARNING PROJECT
Customer Segmentation Using K-Means
B A C K G R O U N D
I play role as a Data Scientist at Kalbe Nutritionals and are working on a new project from the marketing team. The goal of this project is creating customer clusters or segments based on several criteria.
O B J E C T I V E
Developing a machine learning model using K-Means for customer segmentation.
DATA ANALYSIS PROJECT
Health Insurance Analysis Using Probability
B A C K G R O U N D
Everyone should care about their health and be willing to spend money on healthcare expenses. In this project, an analysis will be conducted on a dataset of healthcare bills in the United States.
O B J E C T I V E
Analyzing a healthcare billing dataset using probability theory. The analysis steps include: Descriptive Statistic Analysis, Discrete Variable Analysis, Continuous Variable Analysis, Variable Correlation Analysis, and Hypothesis Testing.
DATA ANALYSIS PROJECT
E-Commerce Analysis
B A C K G R O U N D
Olist is an E-commerce platform originating from Brazil. In this project, an analysis will be conducted on sales data from 2016 to 2018.
O B J E C T I V E
- Determining the top 10 most popular / best-selling product categories.
- Examining the sales growth for each year.
- Identifying the cities with the highest number of orders.