Good morning from a very cold NYC. In this productive day in my life, I’m taking you through a typical work-from-home day as a senior data scientist while doing grad school part-time (aka: I’m finally finding a rhythm at my new job… and stats class is humbling me). I start with my simple morning routine—skincare, a little makeup because I’m filming, and my newest habit: making Chinese herbal tea while I ease into creative work. Since my team is mostly on the west coast, I use that extra morning hour to plan outfits for my 30-day work outfit challenge (Pinterest + a Figma wardrobe mix-and-match situation), then I catch up on emails and sponsor follow-ups. Once I log on, I show how I manage work like an actual adult: I update my Notion task tracker to stay on top of cross-functional requests, create visibility for stakeholders, and keep a clean record for performance reviews. My day includes pulling user lists for research, upgrading a dashboard, and wrapping an experiment analysis—plus a PM meeting where we talk practical significance, power, and making decisions with “just enough” information (startup life). After a light lunch (fig jam + brie + apple is elite), I brave the freezing weather to stick to my workout goals, cook a cozy dinner, study Korean for an upcoming Korea trip, and then spend way too long on stats homework before I force myself to clean the dishes (NYC roaches are ruthless).