Aprajita Srivastava
About Aprajita Srivastava
Aprajita Srivastava is a Software Engineer Intern currently working at Unadat in New York. She has a background in computer science and artificial intelligence, having completed her studies at Cornell Tech and The City College of New York.
Work at Unadat
Aprajita Srivastava is currently employed as a Software Engineer Intern at Unadat, where she has been working since 2024. Her role involves contributing to software development projects, applying her knowledge in data science and machine learning. This position allows her to gain practical experience in the tech industry while furthering her skills in software engineering.
Previous Experience
Prior to her current role, Aprajita worked at the Advanced Science Research Center, GC/CUNY as an ASRC Undergraduate Research Fellow for two months in 2023. She also served as a College Assistant STEM Tutor at The City College of New York in 2022. Additionally, she was a Break Through Tech AI Fellow at Operartis for four months in 2023. These experiences have provided her with a solid foundation in research and tutoring within STEM fields.
Education and Expertise
Aprajita studied at Cornell Tech, where she focused on AI/ML and Data Science, earning a Break Through Tech AI/ML Certificate in 2023. She also holds a Bachelor of Science degree in Computer Science from The City College of New York, where she studied from 2021 to 2024. Her educational background equips her with a strong understanding of data-driven insights and machine learning applications.
Academic Background
Aprajita completed her high school education at John Bowne High School, graduating with a High School Diploma in 2021. She then pursued her undergraduate studies at The City College of New York, where she earned her Bachelor of Science in Computer Science. Her academic journey reflects a commitment to learning and growth in the field of technology.
Professional Interests
Aprajita has a keen interest in data-driven insights and the transformative potential of machine learning across various industries. She actively seeks to connect with others to discuss the latest trends in data science and technology, demonstrating her engagement with the professional community and her dedication to staying informed about advancements in her field.