Nandhana Suresh

Nandhana Suresh

Data Science Intern @ BarRaiser

About Nandhana Suresh

Nandhana Suresh is a Data Science Intern currently working at BarRaiser in Menlo Park, California. She has a background in Mathematics and Data Science, with experience in various internships and has achieved Kaggle Master status twice.

Current Role at BarRaiser

Nandhana Suresh is currently employed as a Data Science Intern at BarRaiser, a position she has held since 2024. In this role, she is involved in hands-on projects that enhance her practical data science skills. The internship is based in Menlo Park, California, United States, where she contributes to various data-driven initiatives.

Previous Internship Experience

Prior to her current role, Nandhana Suresh completed internships at Oasis Infobyte and The Sparks Foundation in 2023. At Oasis Infobyte, she worked as a Data Science Intern for one month in South West New Delhi, India. She also served as a Data Science & Business Analytics Intern at The Sparks Foundation in Singapore for one month, gaining valuable experience in the field.

Education and Academic Background

Nandhana Suresh studied Mathematics at Govt. College for Women, Thiruvananthapuram, where she earned her Bachelor of Science (BSc) degree from 2019 to 2022. She is currently pursuing a Master of Science (MSc) in Data Science at the University of Kerala, a program she began in 2022. Earlier, she completed her secondary education at Nirmala Bhavan Higher Secondary School, focusing on Biology Science.

Achievements in Data Science Competitions

Nandhana Suresh has achieved the status of Kaggle Master twice, indicating her advanced proficiency in data science competitions. This accomplishment reflects her skills and dedication to the field, showcasing her ability to tackle complex data challenges effectively.

Research Collaboration Opportunities

Nandhana Suresh is open to research collaborations aimed at further developing her expertise in data science. This openness to collaboration indicates her commitment to continuous learning and professional growth within the data science community.

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