Shweta Mandhare

Shweta Mandhare has a diverse work experience spanning multiple companies and roles. Shweta started their career as a Project Intern at Persistent Systems in 2015. Shweta then moved on to iNautix Technologies where they worked as a Software Developer, focusing on integrating the wash sale process into the tax lot posting process for various asset types. After that, they joined Botminds AI Technologies as a Machine Learning Intern, where they specialized in dealing with financial documents and developing AI-based table comprehension capabilities. Currently, Shweta is employed at Intangles Lab Pvt. Ltd. In this company, they have taken on roles such as Applied Machine Learning Engineer, Senior Machine Learning Engineer, and is currently serving as the Engineering Manager - Machine Learning Engineer. With a strong background in machine learning and software development, Shweta's work experience showcases their expertise in both technical and managerial roles.

Shweta Mandhare has a diverse education history. Shweta started their academic journey at Sinhgad Spring Dale School, where they completed their primary and secondary education from 2002 to 2010. After completing high school, they went on to pursue a High School Diploma in Computer Science at Cusrow Wadia Institute Of Technology from 2010 to 2013.

Motivated to further their education, Shweta joined Pune Institute of Computer Technology and pursued a Bachelor of Engineering (BE) degree in Computer Science from 2013 to 2016. Building upon their undergraduate studies, they then enrolled in Vellore Institute of Technology, where they obtained a Master of Technology (MTech) degree in Big Data Analytics between 2017 and 2019.

In addition to their formal education, Shweta Mandhare has also obtained additional certifications to enhance their skillset. In December 2021, they completed the "AI in Fintech Essential Training" certification offered by LinkedIn.

Overall, Shweta's education history showcases their commitment to learning and building expertise in the fields of computer science, big data analytics, and artificial intelligence.