Resume – Adityo Wicaksono
📍 Location: Jakarta, Indonesia
📧 Email:-| 🔗 LinkedIn: http://linkedin.com/in/adityowicaksono |
💻 GitHub/Portfolio: http://github.com/adityoAJA
Professional Summary
Data Analyst & Web Developer with strong experience in data analysis, machine learning,
and web application development. Skilled in Python, SQL, and data visualization to generate
actionable insights, and proficient in building scalable, efficient, and user-friendly digital
solutions. Experienced in remote, collaborative projects with a focus on delivering results on
time.
Core Skills
- Programming & Data Analysis: Python (Pandas, NumPy, Scikit-learn, TensorFlow)
- Data Visualization: Matplotlib, Seaborn, Plotly
- Machine Learning: Regression, Classification, Forecasting, Neural Networks
- Web Development: Streamlit
- Databases & Cloud: Huggingface, GitHub, Streamlit Cloud
Professional Experience
Freelance Data Analyst & Web Developer | Remote | 2021 – Present
• Conducted data analysis projects using Python and visualization tools to identify trends
and generate actionable insights.
• Developed predictive models using machine learning (regression, classification, and time
series forecasting, neural networks).
• Built interactive Streamlit dashboards and web applications to visualize climate, business,
and customer datasets for real-time analytics.
• Collaborated with international clients, ensuring timely delivery and transparent
communication.
• Cleaned and preprocessed large datasets (CSV, Excel, NetCDF).
• Assisted in developing statistical and predictive models for environmental and business
applications.
• Created visual reports and presentations to communicate findings to non-technical
stakeholders.
Education
Bachelor’s Degree in [Applied Climatology] | [University of Meteorology, Climatology, and
Geophysics] | [2013]
Projects
- Climate Data Dashboard: Developed a web-based application in Streamlit for visualizing
CMIP6 climate projection datasets.
- Machine Learning for Forecasting: Implemented regression and time series models to
predict demand trends.
- Deep Learning for processing climate data: Implemented bias correction or downscaling
method to process a large dataset of climate data.
Languages
English – Intermediate english
Indonesian – Native
Availability
Open to Remote Part-Time / Freelance Projects in Data Analysis, Data Science, and Web
Development.
