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Hi there, I'm Anshumaan Phukan! 👋

🎓 Pursuing a Master's in Business Analytics at NUS Business School, National University of Singapore, with a passion for transforming data into actionable insights.

👨‍💻 With a solid background in computer science and a fervent zeal for data analytics, I have honed my skills across a spectrum of domains, including machine learning, deep learning, and data science, to drive strategic decisions and innovation.

🛠 Skills and Technologies

Coding Languages

  • Python Python
  • R R
  • SQL SQL
  • C++ C++
  • HTML/CSS HTML5 CSS3

Frameworks and Libraries

  • Scikit-learn Scikit-learn
  • TensorFlow TensorFlow
  • Keras Keras
  • Pandas Pandas
  • NumPy NumPy
  • Huggingface Huggingface
  • PyTorch PyTorch
  • PySpark PySpark

Tools and Platforms

  • Tableau Tableau
  • SAS Viya SAS
  • Google Cloud's BigQuery BigQuery
  • Git Git

💼 Internships and Research

  • UAV Tech Private Limited: Led a project to develop a prototype autonomous drone, utilizing ROS, achieving a significant reduction in development time and errors.
  • SAS, Bangalore: Spearheaded advanced analytical tasks in the automotive industry, enhancing profit by 10%+ through analytics.
  • Georgia Institute of Technology: Research Intern, focused on detecting insider threats using machine learning and AI, improving detection rates by 15%.

🏆 Achievements

  • International Fintech Competition, Chengdu, China: Runner-Up with NUSights, a fintech solution enhancing decision-making in financial markets through advanced analytics and LLMs.

📚 Education

  • NUS Business School, NUS: M.Sc. in Business Analytics, focusing on Business Analytics, Operations Research, Data Management, and Managerial Economics.
  • Bennett University: B.Tech in Computer Science, specialized in AI & ML, Deep Learning, Data Analytics.

📄 Resume

View my full resume here.

📫 How to reach me

Connect with me on LinkedIn or send me an email at [email protected].

Anshumaan Phukan's Projects

-image-based-nutritional-estimation-for-intake-monitoring- icon -image-based-nutritional-estimation-for-intake-monitoring-

Accurately track caloric intake from both freshly prepared local dishes and packaged foods. The project demonstrated the profound business impact of using advanced AI for precise image classification, providing users with real-time nutritional information and personalized calorie recommendations.

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