Salsabila

About Me

As a passionate data scientist and geospatial analyst, I am dedicated to unlocking the power of data to drive innovation and solve complex problems. With a strong foundation in Python, R, and GIS, I have successfully delivered data-driven solutions for clients in various industries. My expertise lies in conducting spatial analysis, building predictive models, and creating interactive data visualizations to uncover actionable insights

University of Gadjah Mada

Bachelor's of Science

Cartography and Remote Sensing

Experience

Internship at PT Kharisma Inten Mulia

Internship at PT Pupuk Indonesia

Assistant Laboratory at Faculty Geography UGM

Location

Jakarta, Indonesia

Skill

Machine Learning

Skilled in developing and training machine learning models using popular frameworks like (e.g., TensorFlow, PyTorch, scikit-learn)

Data Programming

Strong programming skills in (list languages, e.g., Python, R, SQL, Java Script) with a focus on data manipulation, analysis, and visualization

Cloud Computing

Experienced in utilizing cloud-based services such as (list services, e.g., cloud storage, compute instances, machine learning platforms)

Model Deployment

Experienced in monitoring and maintaining deployed models to ensure optimal performance and accuracy

Data Analytics

Skilled in data cleaning, preprocessing, and feature engineering to prepare data for analysis

Data visualizations & GIS

Skilled in creating informative and visually appealing data visualizations using (list tools, e.g., ArcGIS, QGIS, Matplotlib, Seaborn, Tableau)

My Project

Machine Learning Classification of Agricultural Commodities
(Internship Project)
Developed a CNN-LSTM based model with Python for accurate classification of agricultural commodities, enabling precise fertilizer recommendations tailored to specific crop needs. Achieved 92% accuracy in classifying 5 different crops

Data ScienceRainfall Forecasting
(Freelance Project)
Employed R and the forecast package to construct an ARIMA model for rainfall time series data in the Merawu River Basin, considering factors such as seasonality and autocorrelation

Data Visualization & GISMapping Ocean Carrying Capacity Index
(Internship Project)
Contributed to the Ministry of Environment and Forestry's Marine Carrying Capacity Index project using Quantum GIS, Excel, and SPSS. Performed data cleaning, transformation and statistical analysis to identify key drivers of ocean carrying capacity. Developed interactive maps and visualizations to support decision-making in marine spatial planning.

Data Visualization & GISVisualization Air Pollutant Data
(Educational Project)
Developed data visualization pipeline to handle large volumes of Sentinel-5P data and ensure data quality using Python and Jupyter Notebook to analyze and visualize air pollution data. Created interactive visualizations using Matplotlib to identify spatial and temporal patterns in air pollution and support decision-making for air quality management.

Data VisualizationVisualization Crime Data & Carbon Emission
(Educational Project)
Developed interactive dashboards in Tableau to visualize and analyze carbon emissions and crime data or other data. Leverage data analytics and geospatial analysis techniques to identify data patterns and trends, which provide valuable insights for various applications.

Cloud Computing Classification Random Forest for LULC
(Internship Project)
implemented a cloud-based land cover classification workflow using Google Earth Engine, using the Random Forest algorithm to classify Sentinel 2 imagery. The resulting land cover map is used for several applications.