Episode 28: Excelling in Data Analytics with Vincent Tatan

Show Notes:

(2:25) Vincent talked about his educational background, in which he studied Information Systems at the Singapore Management University. (4:20) Vincent talked about the capstone project on Data Analytics Practicuum that he completed for his degree. (5:47) Vincent went over his Software Development and Business Intelligence internship experience with VISA.(9:30) Vincent landed a Data Science internship at Lazada Group, an international e-commerce company based in Singapore.(11:09) Vincent decided to come back to VISA for a full-time software engineering role after college.(12:32) Vicent worked on a variety of projects from designing micro-services to developing data dictionary management system during his 2-year stint at VISA(15:30) Vincent shared Nigel Poulton's resources on Kubernetes and Docker.(16:38) Vincent discussed his career move to become a Data Analyst at Google Singapore, focusing on Trust and Safety.(20:16) Vincent went over the unique challenges of fighting abuse at Google’s scale.(22:55) In the project "Stock Analysis with Pandas and Scikit-Learn," Vincent walked through an application that retrieves and displays the right financial insights quickly about a certain company stocks price.(25:11) In the project “Build Your Own Data Dashboard,” Vincent showed a tutorial on how to work with Dash, an open-source Python library to build web apps which are optimized for data visualization.(29:13) In the project “Deploy Your First Analytics Project,” Vincent showed a tutorial on how to deploy a dashboard web app with Heroku.(31:48) Vincent shared tips on how to ace the data analysis and data science interviews from big companies in his article “Ace Your Data Analytics Interviews.”(36:15) Vincent unpacked his article “Data Analytics Is Hard… Here’s How To Excel."(43:52) Vincent unpacked his article "How I Overcome Imposter Syndrome in Data Analytics.”(51:11) Vincent shared his thoughts regarding the tech and data community in Singapore.(53:42) Closing Segment.
 

His Contact Info:

LinkedInTwitterGitHubMediumYouTube

His Recommended Resources:

Nigel Poulton on KubernetesSebastian ThrunHans RoslingDJ Patil“Deep Work” by Cal Newport

About the show

Datacast features long-form, in-depth conversations with practitioners and researchers in the data community to walk through their professional journeys and unpack the lessons learned along the way. I invite guests coming from a wide range of career paths — from scientists and analysts to founders and investors — to analyze the case for using data in the real world and extract their mental models (“the WHY and the HOW”) behind their pursuits. Hopefully, these conversations can serve as valuable tools for early-stage data professionals as they navigate their own careers in the exciting data universe.

Datacast is produced and edited by James Le. For inquiries about sponsoring the podcast, email [email protected].

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