Key Achievements:

• Designed and implemented Python-based data pipelines integrated with Power BI, creating dynamic reporting systems that reduced operational costs by 15% through optimized budgeting and resource allocation strategies.
• Conducted in-depth tenant behavior analysis using statistical modeling, identifying key retention drivers and increasing tenant retention rates by 18% through data-driven marketing and engagement strategies.
• Developed automated SQL workflows and Tableau dashboards for real-time performance monitoring, streamlining data visualization processes and boosting team productivity by 20% through enhanced decision-making capabilities.
• Leveraged predictive analytics and machine learning techniques to optimize property maintenance schedules, reducing operational downtime by 12% and improving overall facility management efficiency.
• Built advanced data models incorporating time-series analysis to forecast rental market trends, improving revenue projections by 10% and enabling stakeholder collaboration for strategic financial planning.

Skills:

• Python
• SQL
• Tableau
• Power BI
• Statistical Analysis

Key Achievements:

• Enhanced business decision-making by 20% through Python and Tableau-driven exploratory data analysis (EDA), identifying market trends and customer preferences to inform property development strategies.
• Improved team collaboration and productivity by 25% by implementing GitHub, Jira, and Confluence workflows, streamlining project management and ensuring efficient tracking of data analytics tasks.
• Optimized data storage and ETL processes using Google Cloud Suite, reducing data processing time by 30% and enabling faster access to actionable insights for cross-functional teams.
• Designed and deployed integrated data dashboards with Tableau, improving reporting efficiency by 35% and providing stakeholders with real-time visualizations for strategic planning and performance monitoring.
• Increased customer satisfaction by 20% by developing data-driven property recommendation systems, utilizing clustering techniques and customer segmentation to deliver personalized real estate solutions.

Skills:

• R Programming
• Python
• Tableau
• Microsoft Excel
• Power BI
• MySQL

Key Achievements:

• Engineered automated Python and SQL data pipelines, optimizing ETL processes and reducing data processing time by 30%, enabling faster delivery of insights for business intelligence initiatives.
• Developed and deployed machine learning models for predictive analytics, achieving 20% higher accuracy in demand forecasting and supporting data-driven decision-making for operational efficiency.
• Created interactive Tableau visualizations to monitor project KPIs, improving project delivery efficiency by 25% and facilitating stakeholder communication through clear, actionable insights.
• Performed advanced data wrangling and optimization using Python, SQL, and R, ensuring data quality and compliance with data governance standards while supporting strategic business decisions.
• Collaborated with cross-functional teams on cost-saving initiatives, leveraging data analytics to identify inefficiencies and contributing to a 10% increase in revenue growth through process improvements.

Skills:

• SQL
• Data Wrangling
• Python
• Statistical Analysis
• EDA
• Data Visualization

Key Modules:

• An Approachable Introduction to Programming
• Data Visualisation
• Programming & Text Analytics with R
• Database & Data Processing with SQL
• Observational Data
• Artificial Intelligence & Machine Learning with Applications
• Foundational Mathematics for Data Science

Key Modules:

• Python Programming
• VHDL
• Computer Communication
• C Programming