Data Analyst with a Market Research background, focused on turning structured and survey data into clear, decision-ready insights.
I bring 1.3 years of hands-on Market Research Analytics experience in survey data processing, validation, consumer insights and analytical reporting, while building portfolio projects in SQL Server, Power BI, DAX and data modeling.
Current direction: Data Analytics → Business Intelligence → Consumer & Market Insights
| Area | Focus |
|---|---|
| 🔎 Data Analysis | SQL, Excel, data validation, analytical problem solving |
| 📊 Business Intelligence | Power BI, DAX, Power Query, data modeling |
| 🧱 Data Engineering Foundations | SQL Server, ETL concepts, Medallion Architecture |
| 🧠 Consumer Insights | Survey analytics, brand health, consumer preferences |
RAW DATA → CLEAN → TRANSFORM → MODEL → ANALYZE → VISUALIZE → INSIGHT
SQL Server · Medallion Architecture · Advanced SQL · Analytics
A portfolio data warehouse built around a Bronze → Silver → Gold architecture, followed by analytical SQL for business questions.
Pipeline: CSV / Source Data → Bronze → Silver → Gold → Analytics
- Data loading and validation
- Cleaning and standardization across Silver tables
- CTEs, joins, aggregations and window functions
- Customer, product, trend, ranking and segmentation analysis
- KPI-oriented analytical views
Power BI · Power Query · Star Schema · DAX · Survey Analytics
An interactive consumer insights report built from survey-style data, combining data preparation, dimensional modeling and business-focused analysis.
Pipeline: Survey Data → Power Query → Star Schema → DAX → Power BI → Insights
- Survey data preparation and transformation
- Fact and dimension modeling
- DAX measures and Field Parameters
- Consumer preferences and product attributes
- Purchase intent and Price Sensitivity Meter analysis
- Python for Data Analysis — Python, NumPy, Pandas, cleaning, transformation, visualization and EDA
- Advanced SQL & Data Analysis — analytical SQL and SQL Server workflows
- Power BI & DAX — modeling, measures, context and interactive reporting
- Statistics for Data Analysis — practical statistical thinking for business and research data
Data Analyst · BI Analyst · Reporting Analyst · Consumer Insights Analyst · Market Research Analyst
Interested in roles where data preparation + analysis + visualization + business context come together.
