I work at the intersection of consumer data & tech to help customers via machine learning systems. I write about effective data science, learning, and career to help readers.
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Jupyter, Papermill, MLflow09 Jul 2020 · 3 min · [ misc productivity ]
I thought giving it my all led to maximum outcomes; then I learnt about the 85% rule.
05 Jul 2020 · 13 min · [ datascience machinelearning spark production ]
Part II of the previous write-up, this time on applications and frameworks of Spark in production
28 Jun 2020 · 10 min · [ datascience machinelearning spark production ]
Sharing my notes & practical knowledge from the conference for people who don't have the time.
21 Jun 2020 · 17 min · [ engineering productivity production python ]
After this article, we'll have a workflow of tests and checks that run automatically with each git push.
17 Jun 2020 · 3 min · [ datascience engineering production misc ]
A curious discussion made me realize my expert blind spot. And no, Airflow is not late.
21 Jun 2020 · 17 min · [ engineering productivity production python ]
After this article, we'll have a workflow of tests and checks that run automatically with each git push.
07 Jun 2020 · 9 min · [ agile business datascience productivity ]
Initially, I didn't like it. But over time, it grew on me. Here's why.
25 May 2020 · 15 min · [ machinelearning engineering production ]
Can maintaining machine learning in production be easier? I go through some practical tips.
05 Apr 2020 · 6 min · [ learning reading notetaking writing productivity ]
Using a Zettelkasten helps you make connections between notes, improving learning and memory.
13 Jan 2020 · 15 min · [ recsys project learning machinelearning ]
Beating the baseline using Graph & NLP techniques on PyTorch, AUC improvement of ~21% (Part 2 of 2).
26 Jan 2019 · 12 min · [ agile datascience productivity business ]
A deeper look into the strengths and weaknesses of Agile in Data Science projects (Part 1 of 2).