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{
"heading": "Data Analytics",
"intro": "I specialize in transforming raw data into actionable business insights that drive strategic decision-making. With a strong background in both data analytics and commerce, I bridge the gap between business needs and technical solutions. My approach combines statistical analysis with compelling data visualization to tell stories that solve real-world problems. I've developed expertise in designing dashboards that make complex data accessible and creating end-to-end analysis workflows that uncover hidden patterns and trends.",
"skills": [
{
"category": "Data Visualization",
"items": ["Power BI", "Tableau", "Matplotlib/Seaborn", "Plotly/Dash"]
},
{
"category": "Data Manipulation",
"items": ["SQL", "Pandas", "NumPy", "ETL Pipelines"]
},
{
"category": "Analysis Techniques",
"items": ["Statistical Analysis", "A/B Testing", "Time Series Analysis", "Customer Segmentation"]
},
{
"category": "Business Intelligence",
"items": ["KPI Development", "Executive Reporting", "Data Storytelling", "Process Optimization"]
}
],
"projects": [
{
"title": "Northwind Sales Insight Dashboard",
"url": "https://github.com/Manyue-datascientist/northwind-retail-analysis",
"description": "A business-driven case study where I performed in-depth EDA on the classic Northwind dataset. I uncovered key trends in sales, customer behavior, and product performance, and built a professional dashboard for storytelling using Power BI and SQL.",
"tech_stack": "SQL, Power BI, Pandas"
},
{
"title": "Loan Default Risk Analysis",
"url": "#",
"description": "A feature-driven analytics project where I identified critical drivers of loan defaults. I applied statistical analysis and visual storytelling to assist in better loan disbursement strategies.",
"tech_stack": "Python, Matplotlib, Pandas"
}
]
} |