Junior Data Analyst turning raw data into clear, actionable insights. Specialized in SQL, Power BI, Tableau, Python, and Excel — with a focus on dashboards, data cleaning, and storytelling through data.
Real-time Amazon price tracker monitoring product fluctuations and sending automated email alerts via smtplib when prices drop below a target threshold. Data stored in CSV via Pandas.
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Four interactive dashboards analyzing ER patient volume, wait times, satisfaction scores, and referral patterns — built with advanced DAX and data modeling for operational decision-making.
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Dual-view Power BI dashboard tracking 5 KPIs and 6 analytical charts, plus a Grid view for detailed drill-downs and data export — all built with advanced DAX measures.
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Cleaned and explored 2,000+ global tech layoffs in MySQL using deduplication, null handling, and standardization — with CTEs and window functions to uncover industry trends.
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Interactive Excel dashboard with slicers analyzing bike sales trends by customer demographics, income level, and commute distance — with full data cleaning pipeline included.
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Visualizes global survey responses from data professionals — covering salary by role and country, language preferences, work-life balance ratings, and barriers to entering the data field.
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Interactive Tableau dashboard exploring Airbnb pricing by neighborhood, average revenue by bedroom count, and seasonal booking patterns — designed to identify high-value market opportunities.
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Cleaned survey data in Excel, then built a Power BI dashboard visualizing key engagement drivers, department satisfaction scores, turnover risk indicators, and manager feedback trends.
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Power BI dashboard exploring the prevalence of Heart Attack, Diabetes, Stroke, and Kidney Disease in relation to lifestyle factors. Data cleaned and standardized in both Excel and Power BI.
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Global COVID-19 data analysis using MySQL — cleaned and standardized data to extract insights on cases, deaths, and recoveries. Compared country-level performance and identified critical pandemic inflection points.
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Explored restaurant order data using MySQL multi-table joins. Uncovered top-selling items, category revenue, peak ordering hours, and average order value to support business decisions.
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I am currently open to junior data analyst roles, internships, and freelance projects. Feel free to reach out — I would love to connect.