Development of an interpreter application which leverages computer vision to detect and track hand signs captured by a camera, while utilizing machine learning techniques to accurately classify the letter.
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Methodology to explore the food insecurity problem in NYC by leveraging Apache Spark and Google Cloud Dataproc to quickly and efficiently parse through ~10 GB (9.2 million rows) of data in less than 2 minutes.
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Creation of a search engine that compiles the results from other major search engines, such that it enables refined secondary searches, reduces the bias of search results by introducing a keywork ranking algorithm, and removes ad results.
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Dashboard to explore the effect of different vaccine efficacies on Covid-19 breakthrough and protection rates in various countries.
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Classification models, which uses data obtained from patients admitted to the ICU for Heart Failure, to predict whether a patient will experience in-hospital mortality.
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Statistical analysis (confidence intervals, central limit theorem, distribution modeling, hypothesis testing, etc.) of Spotify All Time Top 2000 Songs list.
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Explore my GitHub page to discover the repositories of the projects I have been involved in. Additionally, you can review my resume and delve into my journey and accomplishments on the About Me page.
Connect with me through LinkedIn, or reach out to me via email or phone number.