Apple Search Ads (ASA) is a vital tool for app developers to enhance their app’s visibility in the Apple App Store. By effectively managing ASA campaigns, developers can ensure their apps appear at the top of search results, thereby increasing visibility and potential downloads. Traditional campaign management strategies have relied on manual input and fixed rules, limiting flexibility and adaptability in a rapidly changing online market. Powered by Reinforcement Learning, this project marks a significant advancement towards fully automated ASA campaign management, capable of making informed decisions on budget allocation, CPI targets, and keyword bids without manual oversight.

Apple Search Ads (ASA) offers an opportunity for app developers to get their apps noticed by showcasing them at the top of search results in the Apple App Store. When users search for apps, those with relevant keywords can appear first, making them more visible and likely to be downloaded. This project aimed to create a realistic simulation of ASA that app marketers can use to test and evaluate different bidding strategies, set realistic targets, and allocate the appropriate budgets to their campaigns.

Movies have a big impact on our lives. They can influence the way we see the world around us. Diversity on the big screen is extremely important since it allows a much wider audience to see what diversity looks like outside of their own communities and become more familiar and accepting of it. This project was meant to put Hollywood under the lens and analyze gender and race representation in a selection of movies spanning from the 1920s to 2021 using deep learning.

Most sewer networks consist of gravity pipes, which rely on the natural slope of the landscape to convey waste-water, and pressure pipes, which are driven by a pump that pushes waste-water to higher located collection points. Anaerobic retention time (ART) is defined as the amount of time a given volume of waste-water resides in a pressure pipe before being discharged. Long retention times have been linked to an increase in the occurrence of unwanted biological and chemical processes, such as the formation of hydrogen sulfide (H2S) which is associated with odor, corrosion, and health problems.