I am a Computer Science undergraduate with a strong interest in Data Analytics.
I work with structured datasets using Python, Excel, Tableau, Power BI and SQL and enjoy exploring trends, patterns and extracting insights from data.
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Traffic Accident Data Analysis
- Analyzed national-scale accident datasets to identify patterns based on time, weather, and road conditions
- Performed data cleaning, feature engineering and exploratory analysis
- Discovered key risk factors influencing accident severity and frequency
- Created visualizations to highlight high risks to enable better decision-making
- Tools: Python (Pandas, NumPy, Matplotlib), Excel
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Vehicle Sales Analysis
- Explored vehicle sales data to identify trends in revenue, customer preferences etc. over time
- Performed data cleaning and exploratory analysis to derive actionable business insights
- Built graphs to visualize sales performance
- Tools: Python (Pandas, NumPy, Matplotlib), Excel
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Student Performance Dashboard
- Designed an interactive dashboard to analyze student performance across subjects and demographics
- Identified factors affecting academic outcomes using filters and KPIs
- Showed easy comparison of student metrics for better insights
- Tools: Power BI, Excel
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Seattle Airbnb Data Dashboard
- Analyzed Airbnb listings to find pricing trends, availability patterns and location based insights
- Built an interactive Tableau dashboard for exploration of listings
- Highlighted key factors influencing pricing and occupancy
- Tools: Tableau, Excel
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- View Dashboard
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Retail Store Sales Analysis
- Analysed data to identify top-performing products, seasonal trends and revenue patterns
- Used Excel for data cleaning, pivot tables and dashboard creation
- Generated insights to support inventory and sales strategy decisions
- Tools: Excel
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- Languages: Python, C, C++, Java
- Data Analysis: Pandas, NumPy, Matplotlib
- Visualization: Power BI, Tableau
- Databases: MySQL (Joins, CTEs, Subqueries)
- Tools: Excel, Git, GitHub
- Applying Machine Learning models to real-world datasets
- Improving data storytelling through interactive dashboards (Power BI and Tableau)
- Strengthening SQL for data querying and optimization
- Learn and implement Natural Language Processing (NLP) on datasets
- Strengthen analytical thinking
- Contribute to open-source data projects