Shiva Raisinghani
About Shiva Raisinghani
Shiva Raisinghani is a Senior Machine Learning Engineer currently employed at Apollo.io. With a background in applied mathematics from the University of California, Berkeley, she has held various roles in machine learning and data science across notable companies.
Current Role at Apollo.io
Shiva Raisinghani serves as a Senior Machine Learning Engineer at Apollo.io, a position held since 2023. In this role, he applies his expertise in machine learning to develop innovative solutions that enhance the company's offerings. His work contributes to the advancement of Apollo.io's technology and supports its mission in the industry.
Previous Experience at Dropbox
Prior to his current role, Shiva worked at Dropbox as a Machine Learning Engineer from 2021 to 2023. During his tenure, he focused on implementing machine learning algorithms and models to improve product functionality and user experience. His contributions were part of Dropbox's efforts to leverage data for better service delivery.
Educational Background in Applied Mathematics
Shiva Raisinghani studied at the University of California, Berkeley, where he earned a Bachelor of Arts (B.A.) in Applied Mathematics. His academic background provided a strong foundation in quantitative analysis and problem-solving, essential skills for his career in machine learning and data science.
Experience at SunPower Corporation
Shiva worked as a Software Engineer at SunPower Corporation from 2019 to 2021. In this role, he contributed to software development projects, focusing on enhancing the company's technological capabilities in the renewable energy sector. His experience at SunPower further solidified his skills in software engineering and data analysis.
Internship at Stem, Inc.
In 2018, Shiva completed a Data Science Internship at Stem, Inc. for three months. This role involved working on data-driven projects, allowing him to gain practical experience in data science methodologies and tools. The internship was an important step in his career development, providing insights into the application of data science in real-world scenarios.