based in Toronto
I assist organizations in utilizing software and services to rapidly convert data into actionable insights that provide guidance for strategic, tactical, and operational decision-making. "What it was, what it is, what it will be."
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I have seen people using Notion to create personal sites, portfolios and resumes and decided to give it a shot**.**
š” cmd/ctrl + shift + l to switch to Dark Mode
Discover how web scraping and data analysis uncover crucial real estate market insights. Learn to extract, process, and visualize data from Real Estate website using Selenium, Beautiful Soup, and Pandas. Gain a competitive edge with actionable intelligence through advanced tools like Matplotlib, Seaborn, and Plotly.
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Exploring Boston Housing Market Trends with Linear Regression
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In the competitive job market, timely and accurate data is crucial for job seekers, recruiters, and businesses. Manual job data collection from platforms like LinkedIn and Indeed can be time-consuming and error-prone. This is where Apache Airflow, a powerful workflow automation tool, comes into play.
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I've spent years harnessing the power of data to drive impactful decisions and solve complex business problems. With expertise in programming languages and visualization technology (SQL and Python, Power BI and Tableau). I've consistently turned raw data into actionable insights. My journey has taken me from ensuring the safety of gas pipelines at Enbridge Gas Inc. and infrastructure projects for the City of Toronto to providing cutting-edge data science consulting at Beam Data. In 2024, I graduated from the Toronto Institute of Data Science and Technology (WeCloudData), further honing my skills and deepening my passion for data science.
