https://michaelaj.me/projects 2025-05-02T17:40:35+00:00 always 0.5 https://michaelaj.me/machine-learning-1 2025-07-22T18:11:25+00:00 always 0.5 https://michaelaj.me/good-reads,-bad-ratings 2025-05-05T06:53:30+00:00 always 0.5 https://freight.cargo.site/t/original/i/Y2336073948693251037400559660235/mozrest-how-to-reply-to-bad-reviews-20230401-1000px.png https://michaelaj.me/scraping,-structuring,-and-storing-data-1 2025-07-22T18:11:25+00:00 always 0.5 https://michaelaj.me/sqldatabase 2025-10-06T02:55:34+00:00 always 0.5 https://freight.cargo.site/t/original/i/P2336606827149559170628202147019/crave-final.jpg https://freight.cargo.site/t/original/i/R2336663404881606484088320306379/Screenshot-2025-05-02-at-10.19.23PM.png Figure 1: Conceptual ER Diagram for Crave & Cork (technology-agnostic data abstraction) https://freight.cargo.site/t/original/i/M2336665181874909848603137027275/Logical-Model.jpg Figure 2: Logical schema of the Crave & Cork database https://freight.cargo.site/t/original/i/Q2336683879365575752088688143563/Screenshot-2025-05-02-at-10.33.28PM.png This query identifies ideal wine pairings for Italian cuisine. By joining Dish, CuisineGenre, and Wine through Pairing, users can receive culturally-aligned suggestions—key to delivering an intuitive and context-aware experience. https://freight.cargo.site/t/original/i/E2336683879402469240236107246795/Screenshot-2025-05-02-at-10.30.53PM.png A quick preview of the Dish table structure, showing how each entry links to a cuisine genre. This table acts as a foundation for pairing logic, connecting food items to wine recommendations through multiple intermediate tables. https://freight.cargo.site/t/original/i/Y2336683879439362728383526350027/Screenshot-2025-05-02-at-10.27.47PM.png This image shows the foundational setup for the Crave & Cork database. I created the CraveCork schema and defined base tables such as Country, Region, WineImporter, and WineType, each with appropriate primary and foreign key constraints. These early schema decisions established the normalized, scalable structure needed to support complex queries and maintain data integrity throughout the system. https://freight.cargo.site/t/original/i/G2336683879476256216530945453259/Screenshot-2025-05-02-at-10.28.45PM.png I created and inserted synthetic data into the system to simulate user interactions and pairing logic. These seed values—for countries, cuisines, wine types, and flavor notes—allowed me to validate relationships and test query functionality across the schema. https://freight.cargo.site/t/original/i/R2336683879457809472457235901643/Screenshot-2025-05-02-at-10.28.29PM.png To simulate real-world backend behavior, I implemented two SQL triggers. One updates the user’s last order date after a new order is placed, and the other logs wine price changes to a separate audit table, ensuring data integrity and supporting future analytics. https://freight.cargo.site/t/original/i/Q2336683879384022496162397695179/Screenshot-2025-05-02-at-10.32.29PM.png Here, I pull data about wines from the Bordeaux region, including production year, alcohol content, and typical price. This supports power users or professionals looking to compare wines by origin and quality benchmarks. https://freight.cargo.site/t/original/i/E2336683879420915984309816798411/Screenshot-2025-05-02-at-10.29.42PM.png This snippet shows simulated user input, capturing wine ratings and written reviews. These fields were used to support the BestPairings view and future machine learning applications, allowing the system to learn from user preferences. https://michaelaj.me/decoding-trans-legislation 2025-08-27T20:57:06+00:00 always 0.5 https://freight.cargo.site/t/original/i/I2522768839403503924399604903115/wordcloud_phrases.png https://freight.cargo.site/t/original/i/U2522768839421950668473314454731/wordcloud.png https://freight.cargo.site/t/original/i/Y2522778488120565630770254064843/Screenshot-2025-08-27-at-4.54.52PM.png https://michaelaj.me/user-research-1 2025-12-17T23:21:55+00:00 always 0.5 https://michaelaj.me/pit-un-user-research 2025-05-03T06:20:02+00:00 always 0.5 https://freight.cargo.site/t/original/i/E2336608011319848238339158584523/soon-final.jpg https://michaelaj.me/kazani-beauty-seo-audit 2025-12-17T23:23:28+00:00 always 0.5 https://freight.cargo.site/t/original/i/B2701432331375606413834840321227/Cover.png https://freight.cargo.site/t/original/i/L2701434472286276864491691322571/Frame-58.png https://michaelaj.me/nga-audit 2026-03-14T04:49:30+00:00 always 0.5 https://freight.cargo.site/t/original/i/O2335314539349777315419751066827/og-image.png https://freight.cargo.site/t/original/i/O2335326785276170879726720003275/Artle---process.png Figure: Usability Testing Workflow A six-step process used during the Artle study, beginning with participant recruitment and ending in post-session analysis. This structure ensured ethical transparency, consistent data collection, and robust evaluation across all user sessions. https://freight.cargo.site/t/original/i/P2336767850623252988675213372619/Artle--graph1.png Participant responses to the question: ‘How often do you visit museums/art galleries?’ A majority (9 out of 15) reported visiting frequently, confirming a high baseline interest in art institutions. https://freight.cargo.site/t/original/i/P2336781143107224830819883691211/Screenshot-2025-05-02-at-11.57.52PM.png Participants’ professional and academic ties to the arts. Most were connected as artists, students, or museum professionals, offering expert-informed feedback on cultural tools like Artle. https://freight.cargo.site/t/original/i/J2336781143144118318967302794443/Screenshot-2025-05-02-at-11.57.18PM.png When asked about recent gameplay, most participants had played Crosswords or Wordle—two puzzle formats directly comparable to Artle’s structure. https://freight.cargo.site/t/original/i/H2336788399816535755199265254603/Artle-tasks.png Each task was designed to simulate a realistic interaction with Artle—from discovering the game for the first time to exploring its archive and connecting game content with the museum’s physical collection. These tasks helped uncover navigation issues and gaps in user understanding. https://freight.cargo.site/t/original/i/T2336795576872805769300802940107/Screenshot-2025-05-03-at-12.15.06AM.png This table quantifies common interaction challenges and successes, helping prioritize which features needed redesign or clarification. https://freight.cargo.site/t/original/i/I2336811453874749546669621521611/Screenshot-2025-05-03-at-12.29.38AM.png This version offers a brief explanation paired with a link to “More details,” giving users immediate orientation while preserving flow. https://freight.cargo.site/t/original/i/N2336811453837856058522202418379/Screenshot-2025-05-03-at-12.29.52AM.png Visual redesign example showing the evolution from text-only instructions to an annotated, interactive layout. https://freight.cargo.site/t/original/i/M2336822125556003860603455548619/Screenshot-2025-05-03-at-12.40.45AM.png https://freight.cargo.site/t/original/i/B2336830361455383705633255992523/Screenshot-2025-05-03-at-12.47.24AM.png https://freight.cargo.site/t/original/i/O2336835436357592567941710621899/Screenshot-2025-05-03-at-12.52.57AM.png https://freight.cargo.site/t/original/i/H2336842385338318854698352127179/Screenshot-2025-05-03-at-12.56.24AM.png This mockup showcases a Wordle-style input interface with visual tiles and a built-in keyboard—making the gameplay feel more familiar, intuitive, and accessible. https://freight.cargo.site/t/original/i/P2336842385319872110624642575563/Screenshot-2025-05-03-at-12.56.40AM.png A redesigned “How to Play” guide introduces letter-based color feedback to help users understand how guesses function within the new interactive mode. https://freight.cargo.site/t/original/i/M2336842385356765598772061678795/Screenshot-2025-05-03-at-12.56.08AM.png <ol><li>End-of-game feedback is enhanced with a “Learn More” option that links to artist bios and artwork descriptions—supporting educational exploration without disrupting the game flow.</li></ol> 2. This final screen confirms the correct answer, displays key artworks, and offers contextual details about the artist—reinforcing learning and curiosity through design. https://michaelaj.me/data-analytics-and-visualization-1 2025-12-17T23:21:56+00:00 always 0.5 https://michaelaj.me/meta-oversight 2026-03-14T04:49:30+00:00 always 0.5 https://freight.cargo.site/t/original/i/K2336075175254157986496065711307/annotated-INFO641_02_mk_SP24_MichaelaJackson_ch5_Meta_OversightBoard-1_Page_01.jpg https://freight.cargo.site/t/original/i/G2336890908410246847325014469835/annotated-INFO641_02_mk_SP24_MichaelaJackson_ch5_Meta_OversightBoard-1_Page_05.jpg https://freight.cargo.site/t/original/i/G2336890908373353359177595366603/annotated-INFO641_02_mk_SP24_MichaelaJackson_ch5_Meta_OversightBoard-1_Page_07.jpg https://freight.cargo.site/t/original/i/T2336890908447140335472433573067/annotated-INFO641_02_mk_SP24_MichaelaJackson_ch5_Meta_OversightBoard-1_Page_03.jpg https://freight.cargo.site/t/original/i/K2336890908391800103251304918219/annotated-INFO641_02_mk_SP24_MichaelaJackson_ch5_Meta_OversightBoard-1_Page_06.jpg https://freight.cargo.site/t/original/i/O2465129928999240268831709867211/Base-Layer-12.jpg https://freight.cargo.site/t/original/i/M2465129928777879339947195247819/Base-Layer-2.jpg https://freight.cargo.site/t/original/i/G2465129928870113060315743005899/Base-Layer-5.jpg https://freight.cargo.site/t/original/i/I2465129928851666316242033454283/Base-Layer-4.jpg https://freight.cargo.site/t/original/i/T2465129928980793524758000315595/Base-Layer-11.jpg https://freight.cargo.site/t/original/i/L2465129929036133756979128970443/Base-Layer-14.jpg https://freight.cargo.site/t/original/i/H2465129928907006548463162109131/Base-Layer-7.jpg https://freight.cargo.site/t/original/i/G2465129928962346780684290763979/Base-Layer-10.jpg https://freight.cargo.site/t/original/i/W2465129928925453292536871660747/Base-Layer-8.jpg https://freight.cargo.site/t/original/i/I2465129929017687012905419418827/Base-Layer-13.jpg https://freight.cargo.site/t/original/i/L2465129928943900036610581212363/Base-Layer-9.jpg https://freight.cargo.site/t/original/i/D2465129928833219572168323902667/Base-Layer-3.jpg https://michaelaj.me/social-media-user-migration 2025-12-17T23:21:56+00:00 always 0.5 https://freight.cargo.site/t/original/i/E2336608011319848238339158584523/soon-final.jpg https://michaelaj.me/critical-perspectives-in-technology 2025-12-17T23:21:55+00:00 always 0.5 https://michaelaj.me/critical-review 2026-03-14T04:49:30+00:00 always 0.5 https://freight.cargo.site/t/original/i/C2336048647083739305158434499787/dbf.jpg https://michaelaj.me/skills-tags 2025-12-17T23:21:56+00:00 always 0.5 https://michaelaj.me/data-science 2026-03-14T04:49:31+00:00 always 0.5 https://freight.cargo.site/t/original/i/A2336602882737614121535908752587/Stat-final.jpg https://michaelaj.me/engineering 2026-03-14T04:49:31+00:00 always 0.5 https://freight.cargo.site/t/original/i/D2336603544145622884391881944267/engineering-final.jpg https://michaelaj.me/ux-research 2026-03-14T04:49:31+00:00 always 0.5 https://freight.cargo.site/t/original/i/V2336604087328448878843338829003/research-final.jpg https://michaelaj.me/data-visualization 2026-03-14T04:49:31+00:00 always 0.5 https://freight.cargo.site/t/original/i/Q2336602312087586201330929511627/Data-final.jpg https://michaelaj.me/critical-thinking 2026-03-14T04:49:31+00:00 always 0.5 https://freight.cargo.site/t/original/i/S2336600083536434656479998782667/persceptive-final.jpg https://michaelaj.me/all 2025-12-17T23:23:28+00:00 always 0.5 https://freight.cargo.site/t/original/i/A2336601266950407217168863603915/All-final.jpg https://michaelaj.me 2025-12-17T23:21:55+00:00 always 0.5 https://freight.cargo.site/t/original/i/M1610983298397109941434634903219/vertical_dark.svg https://michaelaj.me/resume 2025-12-17T23:21:56+00:00 always 0.5