Richard C.

I have a 100% Job Success rating and 5+ years of experience. I am an expert in AI prompting and a seasoned consultant in Python, JavaScript, and Microsoft products. I specialize in leveraging the power of technology to deliver exceptional results for my clients.

In my previous projects, I have demonstrated my expertise in various areas. For instance, I collected information from over 50 websites, gathering data for multiple variables and consolidating it into a spreadsheet with over 10 million rows and 40 columns. Additionally, I have scraped course catalog data from multiple universities, ensuring accurate and reliable information.

Currently, I am finalizing a web scraping project that involves logging into a website, downloading a CSV file, and seamlessly converting it for upload via an API to another platform. The outcomes have been outstanding, showcasing my ability to navigate complex data workflows.

My experience also extends to web scraping projects for renowned websites such as Home Depot, Lowe's, HEB, NBA.com, NFL.com, Walmart, and more. I can extract, clean, and transform data effectively to derive meaningful insights.

Furthermore, I have undertaken custom SKU creation projects, utilizing advanced query techniques to consolidate data from diverse sources. This enables me to provide comprehensive reports on total inventory, shipping costs, and order requirements. I excel in managing complex datasets and generating actionable insights.

My involvement in the Ethereum ecosystem has further honed my skills. I have developed a dashboard using Bootcamp 4 and Django, integrating APIs to gather time-series data for purchases in a metaverse. I have built prediction models for trend analysis by employing statistical learning techniques. I am well-versed in version control with GitHub and have experience with Docker builds for seamless deployment.

I am also engaged in a sports betting project, where I employ API integration to gather data from multiple bookies. I ensure accurate transaction identification and USD conversion through data cleaning, sorting, and transformation. Leveraging AWS and Google Cloud infrastructure, I create robust data pipelines that drive trend prediction models.

With a proven track record of successfully deploying web applications and leveraging Streamlit, FastAPI, and AWS environments, I am adept at developing solutions tailored to specific business needs.