About Me
I'm an early-career data analyst with experience in SQL, Python, and Tableau. I enjoy turning messy data into clear, actionable insights and building clean, informative dashboards. Currently open to data analyst roles, particularly those focused on business insights and process improvement.
Certifications
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CIS 303: Scripting Languages (v.3) - Year Up
Issued: July 2022
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CIS 103: Introduction to Databases - Year Up
Issued: July 2022
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Google Data Analytics Professional Certificate – Google
Issued: Sep 2022
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Microsoft Excel (Microsoft 365 & Office 2019) – Microsoft
Issued: Feb 2022
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Professional Scrum Master™ I (PSM I) – Scrum.org
Issued: Feb 2022
View Credential
Featured Projects
📊 Airbnb Pricing Analysis (Python & Pandas)
Problem: Explored NYC Airbnb listings to understand what drives price differences
Tools: Python (Pandas, Matplotlib, Seaborn), Jupyter Notebook
Process: Cleaned and filtered data, visualized price distribution by neighborhood and room type using bar charts and box plots
Result: Identified key drivers of price variation
🐍 Music Streaming Data Analysis(PostgreSQL & Python)
Problem: Analyze user listening behavior to uncover trends in music consumption and popular songs.
Tools: PostgreSQL, Python (pyodbc, pandas, matplotlib, and seaborn)
Process: Connect to the database, extract and clean tables, merge datasets, perform exploratory analysis, and create visualizations.
Result: Identified top songs, artists, and genres, revealed listening trends, and generated actionable insights for recommendations and marketing.
📈 Business KPI Dashboard
Problem: Built a Tableau dashboard to track sales KPIs over time.
Tools: Tableau, Excel
Process: Cleaned and joined data in Excel, then built an interactive dashboard in Tableau Public.
Result: Delivered a sleek dashboard that helps managers monitor sales, conversion rates, and regional performance.