Executive Leader for Cloud Engineering and Data Science organizations focused on the use of Connected Vehicle Data for Predictive Maintenance, Privacy, & AI.
@jessfraz That is too funny. My kids love when I come to a stoplight and nobody is in front of me because they know what happens when it turns green! I have a Mach e Rally but I love the Rivian R1S as well.
If you are looking to improve your #DataScience skills, this is for you. Here's a list of 200+ Data Science projects based on real-time business problems, solved & explained with #Python. Includes projects like:
1. Stock Market Portfolio Optimization
2. Election Ad Spending Analysis
3. IPL 2024 RCB vs DC Analysis
4. Metro Operations Optimization
5. Electric Vehicles Market Size Analysis
6. Music Recommendation System using Spotify API
and many more...
Find this list of Data Science projects here: https://t.co/2Wg7u0QrIs
@ABigDataSurfer
Data ScienceIsms (#DSIsms) #2:
Most Dashboard Requests Are Just One-Off Questions in Disguise
Let’s get real—most people don’t need a full-fledged dashboard. What they actually want is a quick, one-time answer to a burning question. New clients usually start by describing their dream dashboard, but more often than not, what they’re really after is clarity on a single issue. Don’t over-engineer a sprawling tool for what’s really a one-off request. It’s all about recognizing when simplicity and speed are the keys to delivering value.
@ABigDataSurfer Data ScienceIsms (#DSIsms) #1:
Don’t Just Answer Questions, Solve Problems
You were not made to be a human SQL terminal. When your stakeholders asks for a specific data point, what they really need is a solution to a problem. Don't just be reactive - be the strategic partner who excavates the underlying business challenge Instead of racing off to pull the numbers they ask for, hit pause. Ask them, “What’s the real challenge here?” Work with them to identify the problem first, and then use data to deliver an insight that drives action. Level up from data janitor to insights orchestrator.
What is #DataOps and why is it crucial for scaling data operations? Read on to find out more and learn how DataOps bridges data teams and delivers faster insights for smarter decisions: https://t.co/D6OXd25uHq
Finished reading Eliyahu Goldratt's "It's not Luck." Reminded me of the work I did years ago on Infinite Segmentation. Read "The Goal" first but this one is worth a read as well.
https://t.co/D2d6bAqRie