I am passionate about uncovering insights and solving complex problems, transitioning into the field of data analysis. With a strong foundation in Python programming and a deep interest in data-driven decision-making, I have been self-teaching techniques in data cleaning, manipulation, and visualization.
I specialize in tools such as Pandas, Polars, NumPy, Matplotlib, Seaborn, and Plotly to analyze and visualize data effectively. I am also proficient in creating interactive dashboards using Apache Superset to enable actionable insights and support data-driven strategies. My adaptability, attention to detail, and commitment to mastering new tools and techniques make me an asset in analytics and business intelligence roles.
As I build my portfolio, I aim to contribute to meaningful projects where data drives innovation and success.
🔭 I’m currently working on Data Science and Machine Learning Projects
🌱 I’m currently learning Advanced Machine Learning Techniques
👯 I’m looking to collaborate on Open-source Data Science Projects
💬 Ask me about Python, Data Analysis, and Backend Development
📫 How to reach me: LinkedIn
⚡ Fun fact: I enjoy exploring new data science tools and frameworks!
| ID | Project Name | Description | Repository Link |
|---|---|---|---|
| 01 | Data Science and Machine Learning Learning | A repository containing learning materials and projects related to data science and ML. | GitHub |
| 02 | Data analysis, vizualization with Polars | A repository containing learning materials and data analysis with library Polars. | GitHub |
| 03 | Code Wars | A repository containing solutions from CodeWars. | GitHub |
Python |
Django |
Seaborn |
NumPy |
Pandas |
Scikit-learn |
PySpark |
Matplotlib |
Flask |
Docker |
SQLAlchemy |
SQLite |
MySQL |
Kibana |
Apache Superset |
Metabase |
Linux |
VMware |
VirtualBox |
Git |
VSCode |
PyCharm |
DataGrip |
DataSpell |
Jupyter Notebook |
GitLab |
Postman |
Bootstrap |
Windows |
Ubuntu |
DuckDB |
PostgreSQL |
ArchLinux |
ElasticSearch |
Debian |
Raspberry Pi |
MAC OS |
Ploty |
GitHub |
Regex |
- Backend Development: Python, Django, Flask, SQLAlchemy, SQL, SQLite, MySQL
- Data Analysis: NumPy, Pandas, Polars, PySpark
- Machine Learning: Scikit-learn, Seaborn, Matplotlib
- DevOps: Docker, VMware, VirtualBox
- IDEs and Tools: VSCode, PyCharm, DataGrip, DataSpell, Jupyter Notebook, Postman
- Data Visualization: Apache Superset, Kibana, Metabase
- Web Development: HTML5, CSS3, Bootstrap
- Version Control: GitLab, GitHub
- Operating Systems: Ubuntu, Windows
mindmap
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Backend Development
Python
Django
Flask
SQLAlchemy
SQLite
MySQL
Data Analysis
NumPy
Pandas
Polars
PySpark
Machine Learning
Scikit-learn
Seaborn
Matplotlib
DevOps
Docker
VMware
VirtualBox
IDEs and Tools
VSCode
PyCharm
DataGrip
DataSpell
Jupyter Notebook
Postman
Data Visualization
Apache Superset
Kibana
Metabase
Web Development
HTML5
CSS3
Bootstrap
Version Control
GitLab
GitHub
Operating Systems
Ubuntu
Windows