Sneha Subramanian

Experience

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  National University of Singapore

  Jun 2022 - Jul 2022

  Data Analytics using Deep Learning

  - Engaged in a high-impact internship with Hewlett-Packard Enterprise Education Services, ACE@NUS, and Corporate Gurukul, specializing in data analytics with an emphasis on deep learning, enhancing the team's analytical capabilities and technological advancements.- Played a key role in data collection, cleaning, and preprocessing, setting the foundation for sophisticated deep learning models and ensuring high-quality data for accurate analysis.- Developed and implemented advanced deep learning models using neural networks and convolutional neural networks (CNNs), driving significant improvements in data analysis outcomes. Collaborated effectively with a diverse team to extract actionable insights from complex datasets, addressing critical business challenges and contributing to informed decision-making. Show less

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  Crescent Petroleum

  Oct 2022 - Mar 2023

  Data Science Intern

  - Led data gathering and cleansing initiatives in collaboration with a cross-functional team, significantly enhancing data quality and reliability for critical analyses.- Performed detailed exploratory data analysis, uncovering key patterns and insights that informed strategic decision-making and drove improved business outcomes.- Developed and deployed advanced machine learning models that optimized decision-making processes, complemented by the creation of intuitive PowerBI dashboards that enabled stakeholders to leverage data-driven insights effectively. Show less

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  Tata Institute of Fundamental Research (TIFR)

  Oct 2022 - Mar 2023

  Project Intern

  - Collaborated with the Department of Astronomy and Astrophysics, enhancing research on Exoplanets, Protoplanetary discs, and Astronomy Instrumentation by integrating advanced computational techniques.- Utilized Python to conduct detailed data analysis of observational data, successfully identifying critical patterns and anomalies within the RM effect that contributed to novel astronomical insights.- Engineered and fine-tuned statistical models and algorithms using Python to extract precise information about exoplanetary orbits from RM effect data, significantly improving the accuracy and reliability of research findings through rigorous validation with leading researchers. Show less

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  World Salon

  Jun 2024 - now

  Marketing Analyst

  - Conducted market research to support strategic planning, providing data-driven insights for effective decision-making.- Assisted in creating and optimizing email marketing campaigns, including sending automated, user-specific emails through HubSpot and Python.