My Projects
Predicting water potability using machine learning techniques
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Tools: Python, Pandas, Matplotlib, Seaborn, Scikit-learn
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Project Overview:
In this project, I analyzed water quality data to assess the potability of water samples. Using machine learning classification models, I predicted whether water is safe for consumption based on various chemical and physical features.
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Key Highlights:
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Cleaned and preprocessed a comprehensive water quality dataset
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Explored feature importance to understand factors affecting potability
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Built and fine-tuned classification models with Scikit-learn, achieving strong predictive performance
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Created clear visualizations to communicate data insights and model results
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Why This Matters:
Access to safe drinking water is a critical environmental and public health issue worldwide. This project demonstrates how data science can contribute to identifying water safety, supporting better resource management and policy-making.
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Analyzing Bitcoin price trends and market patterns
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Tools: Python, Pandas, Matplotlib, Seaborn, Plotly
Project Overview:
This project investigates Bitcoin price movements and intraday patterns, analyzing correlations with major events in the cryptocurrency space. I used time-series analysis and visualization techniques to uncover trends and market behavior.
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Key Highlights:
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Processed and cleaned large financial datasets
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Created interactive visualizations with Plotly for deeper insights
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Examined the impact of external events on Bitcoin price volatility
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Delivered actionable insights into cryptocurrency market dynamics
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Why This Matters:
Cryptocurrency markets are highly volatile and influenced by various factors. Understanding these patterns helps investors and analysts make informed decisions.
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Interactive dashboard providing insights on sales data
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Tools: Looker, Google Sheets
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Project Overview:
I developed a sales dashboard to analyze data from January to March 2019, tracking key metrics such as total sales, average unit price, and quantity sold. This tool aids businesses in monitoring performance and identifying sales trends.
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Key Highlights:
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Designed an intuitive, interactive dashboard for data exploration
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Analyzed sales patterns and key performance indicators
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Automated data updates with Google Sheets integration
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Enabled data-driven decision-making through visual insights
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Why This Matters:
Dashboards are essential for businesses to quickly assess performance and strategize based on real-time data.
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