I’m a data analyst with a specialty in Python, SQL, Microsoft Excel, visualization tools like Tableau and Power BI, and I enjoy uncovering the patterns that drive smarter decisions.
Currently, I am interning at Infotact Solutions, where I work on real-world problems and provide data-driven solutions.
When I’m not working with numbers, you’ll probably find me with my guitar in hand, exploring riffs and creating music. For me, data and music are similar — both are about finding patterns, practicing, and bringing a story to life.
⭐Data Visualization
⭐ Business Analytics
⭐ Financial Analysis
⭐ Product Analysis
⭐ Database Engineering
⭐ Analysis Engineering
Excel (Power Query, Data Model, Pivot Tables, Dashboards)
Executed an end-to-end, Excel-only analysis of Ferns & Petals sales data (1,000 orders, 100 customers, 70 products) using Power Query for ETL, the Excel Data Model for relational joins, and Pivot Tables + calculated measures for KPI creation — resulting in Total Revenue of $352,049 and AOV of $352.05. I engineered time and logistics metrics (avg delivery = 5.5 days), identified peak months (February, August), top occasion (Anniversaries), and leading categories (Colors, Soft Toys), and built an interactive dashboard with actionable recommendations to optimize inventory, marketing, and delivery performance.
Python (Pandas), SQL (PostgreSQL), Power BI (Power Query, DAX)
Developed an end-to-end analytics solution analyzing 3,900 customer transactions to identify key purchasing patterns. Leveraged Python for data cleaning, performed deep-dive analysis using SQL, and built an interactive Power BI dashboard to visualize customer segments and revenue drivers, leading to actionable recommendations to enhance marketing strategy and boost customer loyalty.
Python (Pandas, NumPy, Uuid), Power BI (DAX, Power Query)
Built an interactive Power BI dashboard to track clinical trial KPIs in real-time, demonstrating advanced data modeling, DAX analytics, and visualization to provide insights into recruitment velocity and patient adherence.
