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nalikapalayoor/README.md

Hi, I'm Nalika Palayoor! ๐Ÿ‘‹

๐ŸŽ“ Third-Year Data Science & Behavioral Neuroscience Student in the Honors Program at Northeastern University.
๐ŸŒฑ Passionate about exploring the intersection of data science and life sciences.
๐Ÿ”ฌ Focused on machine learning, and natural language processing.


๐ŸŒฑ About Me

  • ๐Ÿง  Recently completed a computational biology co op at Precede Biosciences.
  • โš™๏ธ Interested in designing end-to-end data systems that turn messy, real-world data into usable tools
  • ๐Ÿ”ฌ Experienced in using python for data analysis in many contexts, especilly with scientific data.
  • โœˆ๏ธ Studied abroad in Belgium, developing a global perspective on government and politics while building data-driven ML applications.
  • ๐Ÿƒ Fostering community through the Alpha Phi Omega service fraternity, Northeastern's Presidential Ambassador Program, The National Marrow Donor Program, and NU Club Running.

๐Ÿ›  Skills

  • Programming: Python, R, SQL, MATLAB, C++
  • Python libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Flask, BeautifulSoup
  • Developer tools: Git, Streamlit, Docker, Visual Studio Code, Jupyter Notebook, PyCharm, Data Grip, RStudio, CLI
  • Specializations: Biostatistics, NLP, Data Visualization

๐ŸŒŸ Featured Projects

  • Built an NLP-based system to map messy clinical trial spreadsheets to a standardized schema
  • Trained and evaluated models using TF-IDF and contextual embeddings to handle ambiguous column names
  • Designed a flexible pipeline to process inconsistent formats, missing values, and noisy real-world data
  • Developed a streamlit based UI to review and correct model predictions
  • Contributed to an open-source database by reviewing publications and curating ontologies.
  • Improved database accessibility by aligning Bioregistry records with external databases.
  • Developed scalable workflows for data integration, enhancing collaboration in scientific research.
  • See lab website here
  • Built a Flask-based API with a regression-based ML model for personalized travel recommendations.
  • Collaborated with a multidisciplinary team during Belgium study abroad.

๐Ÿš€ Goals

  • Gain co-op experience in data science.
  • Interested in roles where I can build and deploy data-driven systems, work with real-world data, and collaborate across technical and non-technical teams.
  • Collaborate on open-source projects and contribute to the developer community.

๐Ÿ“ซ Connect with Me

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