Published in Ml Ops by Mikiko Bazeley·Pinned👩🏻💻 Miki’s 🔥Hot-Takes🔥 on MLE Interviews: Top Advice & Resources (Part 2/2)The second part of a loquacious guide to resources, tips, & lessons learned interviewing for Machine Learning Engineer roles. Thanks for joining me for part 2 of the series! We left off in Part 1 (👩🏻💻 Miki’s 🔥Hot-Takes🔥 on MLE Interviews: Types of Roles & Interview Prep (Part 1/2)) on…Machine Learning Engineer19 min readMachine Learning Engineer19 min read
Published in Ml Ops by Mikiko Bazeley·Pinned👩🏻💻 Miki’s 🔥Hot-Takes🔥 on MLE Interviews: Types of Roles & Interview Prep (Part 1/2)The first part of a loquacious guide to resources, tips, & lessons learned interviewing for Machine Learning Engineer roles. My goals for this blog series are to demystify the interview process for Machine Learning Engineer roles and avail readers of my personal experiences as a useful guide post. Over a…Mlops16 min readMlops16 min read
Published in Ml Ops by Mikiko Bazeley·Pinned✂️Breaking into Data Science — Getting the DS Offer & Next Steps (Ch.4)🔍Tl:dr 💁️ ➡️ 👩🔬; How I went from working the front desk of a hair salon to working as a data scientist without a Master’s, PhD, or quantitative college degree. A few words before diving in… Life comes at you fast. Since I published Part 3 (and started writing the first draft of Part 4), I’ve: taught at two data…Machine Learning19 min readMachine Learning19 min read
Published in Ml Ops by Mikiko Bazeley·Pinned✂️Breaking into Data Science- From Hair Salon to Data Scientist (Ch.1)🔍Tl:dr 💁️ ➡️ 👩🔬; How I went from hair salon girl to data scientist working for an innovative digital health company with no Master’s, PhD, or background in a quantitative college degree. “Work is love made visible.” — Kahlil Gibran “The written word is all that stands between memory and oblivion. Without books as…Data Science14 min readData Science14 min read
Published in Ml Ops by Mikiko Bazeley·Pinned💈 Breaking into Data Science — Upskilling & Bootcamps (Ch.2)- 📊Tl:dr 💁️ ➡️ 👩💻; How I went from hair salon girl to data scientist working for an innovative digital health company with no Master’s, PhD, or quantitative college degree. This section covers my attempts at hacking the learning process, choosing a boot camp, and building up my portfolio. Hi everyone! So I’m assuming you’re joining me…Data Science11 min readData Science11 min read
Mar 9A Discussion: Top Challenges of Moving Data Science to Production.We know MLOps and Production ML are hard. But what are the common challenges that plague teams and practitioners (regardless of industry or background) when it comes to deploying data science models to production? Sabrina Aquino from Shakudo organized a Twitter space called “ MLOps: Solving the Complexity of Moving…Data Science8 min readData Science8 min read
Published in Ml Ops by Mikiko Bazeley·Mar 9🤖 What An MLOps Engineer Does 💻📆 And What The Week Can Look Like Sec 1: Introduction — Who am I and why this blog post? Hey there! My name is Mikiko and (at the time of writing) I lead MLOps at Featureform.Mlops13 min readMlops13 min read
Published in Ml Ops by Mikiko Bazeley·Mar 6Data Science Bootcamps: How To Not Get Screwed & What To Look For To Get The Highest ROI PossibleA system of education is not one thing, nor does it have a single definite object, nor is it a mere matter of schools. Education is that whole system of human training within and without the school house walls, which molds and develops men. — W. E. B. Du Bois …Data Science12 min readData Science12 min read
Published in Ml Ops by Mikiko Bazeley·Feb 235 Opportunities After Data Science: What To Do If Data Science Isn’t A Fit (Part 1/2)Life isn’t over, it just gets more interesting. #recoveringdatascientist Officially, I worked as a data scientist for a grand total of 2-ish years. Quite short but I learned a lot about myself and what I wanted for my professional career.Data Science8 min readData Science8 min read
Published in Ml Ops by Mikiko Bazeley·Feb 235 Opportunities After Data Science: What To Do If Data Science Isn’t A Fit (Part 2/2)Career Capital is meant to be deployed & as a data scientist you have plenty of it. #recoveringdatascientist In Part 1 of this two-part series, we answered the following questions: ✅ Why Would Data Scientists Leave Data Science? (Or Even Data Entirely?); ✅ Some of the traits that make data…Data Science8 min readData Science8 min read
