Johor Bahru, Johore, Malaysia
Aspiring Data Analyst with hands-on experience in data visualization, sentiment analysis, and business research. Skilled in Python, SQL, Power BI, and Tableau, with a strong foundation in data cleaning, dashboard creation, and stakeholder reporting. Eager to apply analytical skills to solve real-world problems and support data-driven decision-making.
Consultant Assistant for the Feasibility Study Project of the Development of the Integrated Data Warehouse for Higher Education under the Ministry of Higher Education (KPT). - Conducted research and analysis on current data requirements and proposed suitable, up-to-date technologies for the development of a centralized data warehouse. - Assisted in the preparation of key documentation, including the User Requirement System (URS) and System Requirement Specification (SRS) for the proposed data warehouse system.
- Conducted a comprehensive literature review on heritage preservation techniques, traditional maintenance methods, and challenges posed by environmental factors such as temperature, humidity, wind speed, andprecipitation. - Gathered and analyzed historical climate data from the Copernicus Climate Data Store. - Utilized Python in Jupyter Notebook for data preprocessing and machine learning model development. - Created detailed flowcharts for process design using Draw.io. - Employed Power BI for visualizing predictive results to support monitoring and assessment of heritage building conditions.
- System monitoring using Grafana - Scrape data from Twitter using Snscrape - Using Python Jupyter Notebook for data pre-processing - Using Oracle SQL Developer to store data - Using Power BI for data visualization
- Website to read excel in PHP form and convert into Word document - Help staffs from different unit make a google form