Rajvi Mehta, Author at Technical.ly Philly

Rajvi Mehta

Photo of Rajvi Mehta

Rajvi Mehta is an advanced data analyst at Vanguard and the chapter lead of Women in Data — Philadelphia.

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To understand what it takes to be a data engineer, start here software development

Sep. 25, 2020 12:42 pm

To understand what it takes to be a data engineer, start here

Among data scientists and analysts, think of data engineers as the architect. Here's a roundup of free courses and other resources to get you learning about the role.
Data pros: Here’s how to be a better business partner to non-technical stakeholders professional development

Sep. 10, 2020 3:27 pm

Data pros: Here’s how to be a better business partner to non-technical stakeholders

To improve professional communication skills, above all, a good tech or data expert needs to be curious.
Want to learn data visualization skills? Start with these resources and tools software development

Aug. 26, 2020 8:40 pm

Want to learn data visualization skills? Start with these resources and tools

Ahead of its data viz workshop, Women in Data's Rajvi Mehta shares a handful of intro materials for those looking to boost their tech careers.
Searching for a data job during COVID-19? Here’s advice from two hiring managers professional development

Jun. 23, 2020 1:39 pm

Searching for a data job during COVID-19? Here’s advice from two hiring managers

Vanguard's Brian Uff and Seer Interactive's Emily Meekins talk networking, skills building and messaging recruiters during a recent Women in Data — Philadelphia virtual event.
Tech nonprofits: ‘Use this time to create awareness of your cause’ access

May 12, 2020 8:16 am

Tech nonprofits: ‘Use this time to create awareness of your cause’

Women in Data's Philly chapter co-lead, Rajvi Mehta, outlines how the org is staying useful to its community with a pivot to virtual events while strengthening its base.
On building a successful data team software development

Nov. 12, 2019 9:21 am

On building a successful data team

Women in Data's year-end event will focus on both the skill sets necessary for data practitioners and the best practices their broader organization can follow to help the analytics team succeed.

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