Mock Live Technical SQL Interview with

SQL technical interviews are commonly used to assess candidates for Data Analyst positions. In this session, we would go through a typical SQL technical interview, going through a series of SQL problems.

5-10 mins: Setup
30-45 mins: SQL Challenge
10-20 mins: Review & Feedback (written & verbal)

If you are interested, I encourage you to practice SQL code on your own first before booking this session. Potential SQL topics that would be covered:
- Basic SQL syntax
- Aggregation Functions
- Window Functions
- Joins
- Subqueries
- Code efficiency
... & others!

If you need more details, drop me a message on my profile (click 'Apply Now', no payment taken) and mention that you are interested in this session, so that we can discuss further before you book.

Hi! I'm Kelman, I'm a Data professional with 6+ years of experience, working in a range of companies & industries. Currently Data @ Rippling, was previously at Uber, Postmates (food delivery), Neuron Mobility (electric scooters) & Urban Planning (Singapore Government). I'd love to mentor your learning journey, helping you cover the key concepts & skills needed to be successful in your job search and career in the field of data & analytics.

I minimize the numbers of mentees I have at a single time, to focus my energy and time. I only accept mentees where I believe I will add value to. Feel free to drop a message to say hi!

More about me:

I enjoy mentoring, enabling others to get into a career of Data. I have been a mentor on Springboard over the past year and have helped 20+ students graduate and successfully find data related jobs. I am also a Teaching Assistant for the Data Visualization Bootcamp @ UC Berkeley Extension. I am more than happy to design a study plan, review resumes, practice technical & non technical interviews or even work on a data project together.

My background is in information systems & earth systems, where I am passionate about translating complex datasets to inform key business decisions and solving technical problems. My work experience spans the intersection of strategy, urban mobility, marketplace apps and the sharing economy. Always keen to chat about data, SaaS, food delivery, electric scooters, the environment and new opportunities.

Fluent in dbt, Python, SQL & Tableau for data analysis & visualization
DBT - Championed the use of dbt within my team to standardize data and metrics org-wide
Python - Experience in data cleaning, ETL pipelines, analysis and visualization.
SQL - Working experience in building complex queries (MySQL, BigQuery, Postgresql), building data flows for real time dashboards, extracting data for subsequent deep dive analytics.
Tableau - Hands-on experience in setting up Tableau Server and Dashboards