Welcome
About Me
Hello and welcome! My name is Vicky and I’ve worked as a data engineer, data scientist, and most recently a data analyst. I started writing to discuss my experiences and provide advice I found lacking during my data analytics journey. If at least one of my articles has helped you, I’ve accomplished my goal.
You can read more about my experience and thoughts on data analytics in my interview with Towards Data Science.
Articles
Below is an index of my articles grouped by category. I’ll update this list as I publish more over time.
Data Analysis / Data Science:
- How Data Scientists Can Reduce Data Wrangling Time with a Data Mart
- How to Make Your Data Science Projects Stand Out
- How Data Scientists Can Develop Business Acumen
- Data Cleaning: The Unsexy Side of Data Science
- How I Used a Machine Learning Model to Generate Actionable Insights
- How to Translate Machine Learning Results Into Business Impact
- How to Troubleshoot an Abnormal KPI Change
- Why Your Dashboards Are Ignored
- How to Create a Dashboard Stakeholders Want To Use
Presenting Data:
- How to Present Machine Learning Results to Non-Technical People
- How to Create a Successful Data Presentation
- How to Deliver a Successful Data Presentation
- How to Become a Successful Data Storyteller
- How to Tell a Story With Data
- My 3-Step Method to Create a Story With Data
- Why Building a Machine Learning Model is Like Cooking
Business:
- What Marketers Should Know About Subscription Models
- Netflix Q1 ’21 Subscriber Growth Miss: Can We Avoid Another One?
My experiences:
- My Experience as a Data Scientist vs. a Data Analyst
- My Unbelievable Move From Data Engineer to Data Scientist Without Any Prior Experience
- My Experience as a Data Engineer vs. a Data Scientist
- What You Should Know Before Starting a Career in Data Analytics
- My Experience Changing Careers to Become a Data Analyst
- What You Should Know Before Becoming a Marketing Data Analyst
- My Experience as a Product Data Analyst
- Behind the Scenes of a Data Analyst Recruiting Process
- 6 Best Practices I Learned as a Data Engineer
Product Analytics:
- What Data Analysts Should Know About Product Analytics
- Lessons Learned From Failed Product Experiments
- Product Analytics for Subscription Businesses
- What Product Analysts Should Know About A/B Testing
- What Product Analysts Should Know About MAU
SQL:
- 4 BigQuery SQL Shortcuts That Can Simplify Your Queries
- 6 BigQuery SQL Functions Every User Should Know
- BigQuery SQL Functions For Data Cleaning
- BigQuery SQL Procedural Language to Simplify Data Engineering
- 4 Useful BigQuery SQL Functions You May Not Know
- Simplify Data Cleaning With BigQuery SQL User-Defined Functions
Career Advice:
- How Data Scientists Can Develop Business Acumen
- How to Get Your First Data Analyst Job Without Experience
- How Do I Become a Data Analyst?
- 7 Little-Known Factors To Consider Before You Accept That Data Analyst Offer
- What to Expect in a Data Analyst Interview
- Advice for New Data Analysts
- How to Onboard New Data Analysts
- Why Data Scientists Should Become Data Analysts First
- Advice to Go From Junior to Senior Data Analyst
- How to Reduce Stress in a Data Analytics Job
- How to Handle a Bad Manager
- How to Become an Amazing Data Analytics Hire
- How to Be a More Productive Data Analyst
- Data Analyst Guide to Stakeholder Management
- 3 Mistakes Data Analysts Should Avoid With Stakeholders
- A 4-Step Process to Answer “How Long Will This Take?”
- Why You Should Learn Data Science as a Data Analyst
- Why Data Analysts Should Apply to Data Scientist Jobs
- How to Become a Data Analyst and a Data Scientist
- 4 Habits of Bad Data Analysts
- What’s Next If You Can’t Get a Data Scientist Job
- 6 Bad Data Engineering Practices You Shouldn’t Apply as a Data Scientist
- Why You’ll Quit Your Data Science Job
Feedback
I’m always looking for new ideas to write about. Leave a comment if you don’t see an article on a topic you’re interested in. If I feel I have something to add to the subject I’ll include it in my writing list.