Jayashree Raja

Sr. Business Intelligence Engineer at Amazon

Nominated in the categories:
AI & Data Science Leader of the Year Award

Celebrate 100 000 Women in Tech
Fostering Innovation with Purpose and Impact.
>> December 04 - Virtual <<

Vote by Sharing

Help raise awareness. Nominees with the most votes are eligible for the WomenTech Community Award.

Here are the instructions on promoting your nomination for the Women in Tech Global Awards:

Utilize Social Media: Leverage platforms such as LinkedIn, Twitter, Instagram, and Facebook to announce your nomination and share your story. Explain what this recognition means to you and highlight your contributions to the tech community. Use the sharing buttons above / this page url relevant hashtags like #WTGA2023 #WomenTech, #WomenInTech, and #TechAwards. Encourage your followers to vote and share your posts.
Reach Out via Email: Send an email to your contacts informing them about your nomination. Explain the importance of the Women in Tech Global Awards, and provide them with information on how they can support you by voting. Don't forget to ask them to pass the information to their own networks, this will extend your reach.
Engage with Online Communities: Share your nomination news in relevant online forums and groups. This could include tech forums, ERG groups, professional networking sites, and communities focused on women's empowerment. Be sure to provide information about how to vote.
Virtual Meet-ups/Webinars: If you have the means to host a virtual event or webinar, consider sharing your experience in the tech field and discussing your nomination. This could also be a great opportunity to highlight the significance of women's role in technology.
Workplace Announcements: If your workplace has an intranet or internal communication channels, share your nomination news there. Your colleagues would likely be interested and proud to support you.

Always bear in mind that while getting votes is a part of this process, the key objective is raising awareness about the critical impact of women in technology. Remember to keep your messages respectful, inclusive, and inspiring. Good luck!

Here are the instructions on how to vote for a nominee in the Women in Tech Global Awards:

Visit the profile page of the nominee you want to support on the official Women in Tech Global Awards website. (this page)
On the profile page, you'll find social media sharing buttons. Click on these buttons to share the nominee's profile on your chosen social media platform(s). This could be LinkedIn, Twitter, Facebook, Instagram, or any other platform provided.
By sharing the nominee's profile using these buttons, your action counts as a vote for the nominee.

Please note the following important information:

Repeated clicks from the same user are tracked internally, so multiple clicks without real shares by the same user will not result in multiple votes, even if it shows multiple clicks on the front end. The system is designed internally to count unique shares only, to ensure a fair voting process.
It's completely acceptable to share multiple times, across different days and platforms, as long as you genuinely share the information and engage with your network.
Please remember that any misuse or manipulation of the voting system, such as using bots, fake accounts, or any other deceptive practices to increase vote counts, may result in disqualification. It's important to uphold the integrity and respect the process to ensure the Women in Tech Global Awards remain fair and meaningful. Always follow the rules and guidelines laid out by the awards committee. Thank you for supporting and maintaining the integrity of these awards.
There might be a delay before your vote is reflected, due to the time it takes to process the information.
Voting requires you to share information publicly, so make sure you are comfortable with this before proceeding.

Thank you for participating in the Women in Tech Global Awards and supporting women in tech. Your vote helps to recognize and celebrate their significant contributions to the field.

Jayashree Raja Bio (LinkedIn)

I'm a seasoned data scientist with close to 10 years of industry experience. Currently working as a Sr. Business Intelligence Engineer at Amazon based out of Houston, Texas. Over the course of my professional journey, I have cultivated a deep expertise in data analytics, blending data-driven insights with strategic acumen to drive business growth. My work aims to revolutionize supply chain operations by leveraging cutting-edge retail analytics and innovative inventory management techniques / tools. This initiative holds the potential to significantly impact various sectors of the economy, including retail, manufacturing, logistics, and beyond, thereby contributing to national economic growth and competitiveness.
In addition to my professional endeavors, I’m actively involved in exploring diverse topics ranging from general equality to social justice, finding inspiration for my work in unexpected places. As an advocate for diversity and inclusion in STEM fields, I'm also an Ambassador at Women in Data Science (WiDS) for 2024, Co-director of Women in Big Data (WiBD) organization's Online chapter and published my articles on the need for diversity in data science in Society of Women Engineers (SWE) - All Together blog. I’m always striving to push the boundaries of data science and contributing to meaningful projects that have a positive impact on businesses and society as a whole.

Jayashree Raja

Sr. Business Intelligence Engineer at Amazon

Nominated in the categories:
AI & Data Science Leader of the Year Award

Vote by Sharing

Jayashree Raja Bio (LinkedIn)

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Jayashree Raja

Sr. Business Intelligence Engineer at Amazon

Nominated in the categories:AI & Data Science Leader of the Year Award

Vote by Sharing

Promote your Nomination

How to Vote

Jayashree Raja Bio (LinkedIn)

Don't miss out on the latest Women in Tech events, updates and news!

Powered By​​​​​​​

Women in Tech Network

Women in Tech Conference

Tech Women Impact Globally

Follow us

Nominated in the categories:
AI & Data Science Leader of the Year Award

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