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Data Queries
data queries
7 episodes
2 days ago
We discuss everything about a career in data science, with individuals from unorthodox backgrounds about their journey into becoming a data science. The gap between academia and data science and how to prepare yourself to make that career transition from your current role into a Data science, must know frameworks and tools, debunking complex statically and machine learning concepts into everyday life examples to make data science less of a theoretical concept but more like your favorite movie.
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Technology
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We discuss everything about a career in data science, with individuals from unorthodox backgrounds about their journey into becoming a data science. The gap between academia and data science and how to prepare yourself to make that career transition from your current role into a Data science, must know frameworks and tools, debunking complex statically and machine learning concepts into everyday life examples to make data science less of a theoretical concept but more like your favorite movie.
Show more...
Technology
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Meet Tambe a Data Analyst at Social Finance, who builds Data tools to solve some of core social problems, an OpenSource contributor and builder at heart. Part 1.
Data Queries
46 minutes 11 seconds
2 years ago
Meet Tambe a Data Analyst at Social Finance, who builds Data tools to solve some of core social problems, an OpenSource contributor and builder at heart. Part 1.

In today’s episode, it was a pleasure to sit down with the Talented Tambe Tabitha who is a Data Analyst at Social Finance in their London-based office. Our conversation is divided into two parts. 

First, we talk about her journey into the field of Data Science and we explore a highly impactful project that Tabitha worked on - building a validator tool for looked-after children. She shares her experience working in multifunctional teams and the rewards of working as a consultant with so many things to learn and explore, some of her favorite technologies and tech stacks.  

In the second part of the episode, we shift gear and focus on the invaluable lesson that Tabitha has learned from her short but impressive career thus far. As always, thank you for joining us. Now let’s query on!



Reach out to Tambe Tabitha

Tambe’s talk at PyData London: https://rb.gy/eey0hk

Twitter: https://twitter.com/TambeAchere

LinkedIn: https://www.linkedin.com/in/tambe-tabitha-achere/

Vacancies at Social Finance: https://www.socialfinance.org.uk/careers


Stream or Share on other platforms:

Spotify: https://rb.gy/eey0hk

Google Podcast: https://rb.gy/eey0hk

Apple podcast: https://rb.gy/h0mz3x

Data Queries
We discuss everything about a career in data science, with individuals from unorthodox backgrounds about their journey into becoming a data science. The gap between academia and data science and how to prepare yourself to make that career transition from your current role into a Data science, must know frameworks and tools, debunking complex statically and machine learning concepts into everyday life examples to make data science less of a theoretical concept but more like your favorite movie.