Neel Tiruviluamala, Machine Learning Developer in Los Angeles, CA, United States
Neel Tiruviluamala

Machine Learning Developer in Los Angeles, CA, United States

Member since June 12, 2020
Neel Tiruviluamala double majored in mathematics and physics at Dartmouth College and completed his PhD at UCLA in pure mathematics. His broad research interests include partial differential equations and machine learning. Neel is currently an associate professor in the mathematics department at the University of Southern California. Neel loves teaching and working on problems that involve mathematics, statistics, Python programming, and data science.
Neel is now available for hire

Portfolio

Experience

Location

Los Angeles, CA, United States

Availability

Part-time

Preferred Environment

Anaconda, Spyder, Jupyter Notebook

The most amazing...

...thing that I've ever developed is an algorithm that used EEG data to make predictions concerning the onset times of epileptic seizures.

Employment

  • Head of Undergraduate Research

    2012 - 2020
    University of Southern California, Department of Mathematics
    • Led a team that developed an algorithm to perform image segmentation effectively to aid in cancer detection.
    • Managed and led a team that developed an algorithm to measure ocean health by classifying plankton in images.
    • Led a data science team that developed an algorithm to predict seizures from EEG data.
    Technologies: Amazon Web Services (AWS), Scikit-learn, TensorFlow, AWS, Python
  • Statistics Consultant

    2017 - 2019
    SSB Legal Technologies
    • Defined data accuracy standards/metrics for different regions.
    • Improved the methodology behind various scoring mechanisms.
    • Interfaced with the database team to help the implement and perform quality verification checks on relevant formulas.
    Technologies: Microsoft Excel, MATLAB, Pandas, NumPy, Jupyter Notebook
  • Machine Learning Consultant

    2016 - 2019
    LeadPoint, Inc.
    • Introduced machine learning techniques into an existing mortgage lead pricing algorithm that provided the company with substantial ROI.
    • Measured the value of various third-party test data in improving the lead pricing algorithm.
    • Created pipelines to help the data science team package and explain feature importances to company clients.
    Technologies: Amazon Web Services (AWS), AWS, Pandas, NumPy, Scikit-learn, Python

Experience

  • Diabetic Retinopathy Detection (Development)
    https://github.com/RaymondPaley/DRD

    The goal of this project was to use images of eyes to detect the level of diabetic retinopathy in patients. I have included the code involved in the algorithm but can provide more details upon request.

Skills

  • Languages

    Python 3, Python 2, Python, R
  • Libraries/APIs

    Pandas, Scikit-learn, NumPy, TensorFlow
  • Paradigms

    Data Science, Quantitative Research
  • Platforms

    Jupyter Notebook, Amazon Web Services (AWS), Anaconda
  • Storage

    Data Validation
  • Other

    Mathematical Modeling, Algorithms, Mathematical Analysis, Math, Machine Learning, Statistics, Data Cleaning, Data Analytics, Data Visualization, Statistical Analysis, Quantitative Analysis, Predictive Modeling, Data Analysis, Data Modeling, Data Engineering, Financial Markets, APIs, Mathematical Finance, AWS, Web Scraping, Natural Language Processing (NLP)
  • Industry Expertise

    Physics
  • Tools

    Spyder, MATLAB, Microsoft Excel

Education

  • PhD degree in Mathematics
    2006 - 2012
    University of California, Los Angeles - Los Angeles, CA, United States
  • Bachelor of Arts degree in Mathematics and Physics (Double Major)
    2001 - 2005
    Dartmouth College - Hanover, NH, United States

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