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: Toronto Real Estate Data Automation
Role: Lead Python Developer
Description:
"I built a custom Python scrapper to monitor real estate trends in the Greater Toronto Area. This tool automates data collection from multiple sources, providing real-time insights into market pricing. It helps investors make data-driven decisions faster by 70%.
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Title: RecoveryOps — AI Revenue Recovery Agent
Stock Market Analysis & Insights Dashboard
An interactive stock market analysis platform for exploring market data, trends, and investment insights.
I developed an interactive stock market analysis web application that transforms financial market data into understandable insights through data analysis and visualization.
The platform enables users to explore stock performance, historical trends, market movements, and analytical indicators through an intuitive dashboard.
Key highlights:
Historical stock price analysis
Interactive charts and visualizations
Market trend analysis
Performance comparison
Data-driven insights
User-friendly dashboard experience
Automated data analysis workflow
Tech Stack: Python, Pandas, NumPy, Matplotlib/Plotly, Data Analysis, HTML, CSS, JavaScript
My role. Python Data Extraction & Automation Developer
Project description. Developed a Python automation workflow to extract company information from a large trade exhibition directory and build a structured business contact database. The solution automated company data collection, website discovery, business email extraction from publicly available sources, data validation, duplicate removal, and Excel export. The final dataset was organized, searchable, and ready for lead generation and business research.
