https://www.rachelehlers.com/blog daily 1.0 2020-09-27 https://www.rachelehlers.com/blog/fbs-coach-salaries monthly 0.5 2020-07-28 https://www.rachelehlers.com/blog/demographics-of-rating-subreddits monthly 0.5 2020-09-27 https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f1fb86b59387977ae70e19b/1595914543138/Screen+Shot+2020-07-27+at+10.30.45+PM.png Blog - Demographics of attractiveness subreddits - Posters who said they were female received, on average, far more comments than males. With the subreddit (and Reddit overall) being more male, this might not come as a surprise, as users may be inclined to rate the opposite sex. The disparity in comments was slightly less drastic on r/AmIUgly; it’s possible that people are more sympathetic there due to the almost pleading nature of the subreddit’s prompting question. Or perhaps males are more willing to answer the question “am I ugly” than they are to rate the same gender. https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f1fad42d512832417b971a3/1595912118964/Screen+Shot+2020-07-27+at+9.44.24+PM.png Blog - Demographics of attractiveness subreddits - They’re young. The average ages of r/rateme and r/amiugly posters were 22.2 and 20.6 years old, respectively. On both subreddits, over 90% of posts came from those under the age of 30. By far, the most common stated age on r/Rateme was 18, indicating that younger teens likely lie to meet the minimum. https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f1fb8d5e82515434e413b9d/1595914480794/Screen+Shot+2020-07-27+at+10.33.49+PM.png Blog - Demographics of attractiveness subreddits - They’re mostly male. Both subreddit samples leaned heavily male, r/amiugly slightly more so). While Reddit as a whole is predominantly male, these subreddits do lean 10+ points more male than estimates. https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f1fa56e98fe6764e83fb5fe/1595910741389/Screen+Shot+2020-07-27+at+9.09.41+PM.png Blog - Demographics of attractiveness subreddits - Rating mechanisms r/Rateme posters ask to be rated on a 10 point scale, while r/amiugly posters ask people to answer the question: "Am I ugly?”. Age minimums Subreddit rules state the minimum ages for posting. On r/Rateme, the minimum is 18. For r/amiugly, it’s 16. https://www.rachelehlers.com/about daily 0.75 2021-08-05 https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f11259a3ab5324738e9e72b/1594959269523/40CA7BA8-BE91-4923-9384-39E627DD1325.jpg About https://www.rachelehlers.com/work daily 0.75 2020-09-08 https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f56c437020c314b1f042f56/1599522148240/pg4.jpg Work - Gatorade Swift Agency, Portland Led social analysis around Gatorade’s PG4 collaboration with Nike (Paul George’s signature shoe). Communicated learnings to clients and internal creative and strategy teams to inform the timing, visual language, and copy of colorway announcements. Set new channel highs for engagement on Instagram. Led monthly @gatorade owned social content reports, making recommendations based in data to drive increases in engagement. https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f56c5286699dc5f7ffedbfc/1599522171988/Screen%2BShot%2B2020-09-07%2Bat%2B4.40.31%2BPM.jpg Work - IBM Swift Agency, Portland Data visualization and story creation for IBM Data’s social accounts. Scraped, cleaned, and visualized data for an audience of data scientists. Advised designers on charting best practices. Through social listening and owned content analysis, surfaced insights to inform IBM’s master brand strategy. https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f56bc235ff56448e9af35e0/1599517101549/pixel3launchig.jpg Work - Google Pixel Swift Agency, Portland Led monthly Google Pixel and Pixelbook social listening reports, providing internal and client marketing teams with actionable recommendations based on consumer perception. Informed launch strategy for Pixel 3 and 3a product lines, leveraging insights gained from social listening and sentiment analysis around Google and competitors. Performed ad-hoc analysis for campaigns, competitor product launches, and crisis reporting. https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f56be6c35cfcb0f5c1f9cfd/1599522890807/Screen+Shot+2020-09-07+at+3.45.50+PM.png Work - Google Social Lab Swift Agency, Portland Spearheaded creative project aimed at making Google’s Twitter more humorous and socially savvy. Wrote various posts for @Google, including its most-shared, most engaged tweet to date. Delivered monthly Google Assistant social listening reports, identifying trends in the digital assistant landscape as a whole. Performed various ad-hoc analyses, including (but not limited to): custom sentiment analyses, celebrity partner selection, and models for image analysis, using AutoML in its alpha stages. https://static1.squarespace.com/static/5f1101bcb7716703db786c9c/t/5f56c9eaf2eba344a92bd055/1599523351870/Screen+Shot+2020-09-07+at+5.01.27+PM.png Work - MUS Research and Economic Development Initiative University of Montana As part of a senior capstone project, collaborated with two fellow Montana mathematics students to search for a biomarker to predict post-traumatic epilepsy, using samples from massive sets of raw electroencephalogram data collected from 48 patients. Classified control and test groups using a random forest algorithm, fine-tuning based on sensitivity/specificity to reach 79% prediction accuracy. Report (pg. 14-18)