Dynamic Business Intelligence Analyst intern with proven expertise at MVP Studio (NZ) in designing data warehouses and optimizing SQL queries. Adept at transforming complex data into actionable insights, enhancing report performance, and mentoring peers. Skilled in Power BI and data integration, with a strong focus on delivering high-quality, data-driven solutions.
I am working on a cloud-based Property Investment and Management Platform, specifically targeting the Data Integration of New Zealand and Australia Property data.
▪ Designing the Data Warehouse solution for
analyzing current market trends of the Australian
and New Zealand housing market.
▪ Creating reporting solutions to share the key
insights with the internal stakeholders.
▪ Designing best data ingestion practices
Achievements:
▪ Designed complex SQL queries for common tasks
for the entire team.
▪ Designed the data warehouse in star schema to
keep it flexible and extensible for any new data
sets.
▪ Discovered and implemented the data cleaning
practice to save the whole team’s time.
▪ Successfully debugged SSIS package.
▪ Helped my mentees with their project tasks to
speed up project delivery as their mentor.
▪ Improved performance of slow-running reports.
▪ Implemented the best industry report
development practices so that it is easily
consumable in different formats e.g., pdf, jpeg,
excel, and word.
Industry Connect is an innovative software training school backed by a global tech incubator. Industry Connect aims to make participants job-ready by the end of the program, therefore meeting both the participants' needs as well as a broader industry need. This online learning program is designed to help aspiring IT specialists in the industry. My specific experience is related to Business
Intelligence Analytics where I developed my skills in SQL Query, SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), Microsoft Power BI, Microsoft Visual Studio, Microsoft Report Builder, Data Warehouse, ETL and Microsoft Excel.
Responsibilities:
▪ Importing data from various sites based on
multiple data sources.
▪ Summarize the relevant data into a table.
▪ Filtering and viewing the imported data.
▪ Cleaning the data.
▪ Constructing data models, building data models.
▪ Describing one-to-many or many-to-many links
between tables.
▪ Building model foundations with snow & star
schema.
▪ Obtaining the desired values through the
algorithm of the measure function as well as DAX,
etc.
▪ Filtering the page or chart levels to obtain higher
standards of visualization via drill-through or
dynamic graphs, etc.
▪ Published my dashboard to the Power BI online
service and shared it with my clients.
▪ Setting up background real-time updates, etc.
▪ Publishing the dashboard to the Power BI online
service.
Common Tech Stack:
Analyze and review client profiles, develop visa application strategies, and resolve various unexpected issues that arise during the application process.
Business Intelligence & Data Visualization
Databases & SQL Development
Programming Languages & OOP
AI & Generative AI