Shaip
Prachi Kale has work experience as a Data Annotator at Shaip starting from May 2023. Prior to that, they worked as a Data Analyst at Trainity from March 2023. Prachi also has experience as a Data Scientist at EISystems Technologies starting from March 2023. Prachi's previous work experience is not provided, but they have been identified as a student with no specified dates or role.
Prachi Kale attended Dr. Babasaheb Ambedkar Technological University from 2019 to 2023, where they obtained a Bachelor of Technology (BTech) degree in Electronics and Telecommunication.
Prachi also obtained various additional certifications. In March 2023, they received the "IBM Certification of Python" from IBM, the "Live Project Certificate" from Trainity, and the "Ultimate Beginners Guide to Power BI" from Enterprise DNA. In January 2023, they earned the "SQL Basic by HakerRank" certification from HackerRank. In September 2022, they obtained the "Python Basic by HakerRank" certification, also from HackerRank. Moreover, they completed a course titled "Learning SQL Programming" from LinkedIn in March 2022. Additionally, Prachi Kale received a "Japanease Language N4" certification from The Japan Foundation, although the exact month and year of obtaining this certification were not provided.
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Shaip
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Shaip is a leader and innovator in the structured AI Data solutions category. Our strength is in the ability to bridge the gap between industries with AI initiatives and the high-quality data they require. The ultimate benefit we provide to our clients is the vast amounts of structured data to train their AI models with superior accuracy and the desired outcomes. And it’s all done right the first time to adhere to the most demanding project's specifications. We have the people, processes and human in-the-loop platform to meet these challenging AI projects and we do it within the set timeframes and budgets. This not only enhances an organization’s ability to get ahead in launching their AI products that work as designed, but they can reach their target markets whether they are local, regional, or worldwide. This is the Shaip difference, where better AI data means better results for you.