Turning raw data into actionable business insights 🚀
- 📊 Data Analyst with 1–2 years of hands-on experience in analytics & reporting
- 🔍 Strong in SQL, Excel, Python, and Power BI
- 🧠 Skilled at data cleaning, EDA, and dashboarding
- 💡 Background in engineering — experienced in real-world problem solving & decision-making
- 🎯 Currently seeking Data Analyst opportunities
Languages & Tools
SQL • Python • Microsoft Excel • Power BI
Libraries
Pandas • NumPy
Core Skills
Data Analysis • Data Cleaning • EDA • Dashboarding • ETL • Data Visualization
- Analyzed 9,904 retail transactions ($2.29M+ sales) to diagnose revenue performance, profit leakage, and discount impact
- Discovered a critical 20% discount threshold beyond which profitability deteriorates sharply, with top loss-making products driving nearly 30% of total losses
- Uncovered actionable insights across customer segments, regional profitability, and category-level performance
- Built a multi-page interactive Power BI dashboard using DAX, drill-through analytics, and custom tooltips for executive decision-making
- Built an end-to-end ETL pipeline processing 3M+ records
- Designed star schema & SQL views (CTEs) for clean data modeling
- Identified 26.3% high-risk readmission cohort
- Developed Power BI dashboard for clinical & financial KPIs
- Analyzed transactional data using SQL & Python
- Performed customer segmentation & revenue trend analysis
- Built interactive dashboards for business insights
- Ability to translate business problems into data solutions
- Strong analytical thinking & attention to detail
- Experience working with real-world datasets
- Clear communication of data insights to stakeholders
- 💼 LinkedIn: https://www.linkedin.com/in/sauryayan/
- 📧 Email: sauryayan15@gmail.com
⭐ If you find my work interesting, feel free to explore my repositories and connect!