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

Verified Expert  in Engineering

Machine Learning Developer

Location
Los Angeles, CA, United States
Toptal Member Since
July 23, 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.

Portfolio

University of Southern California, Department of Mathematics
Amazon Web Services (AWS), Scikit-learn, TensorFlow, Python
SSB Legal Technologies
Microsoft Excel, MATLAB, Pandas, NumPy, Jupyter Notebook
LeadPoint, Inc.
Amazon Web Services (AWS), Pandas, NumPy, Scikit-learn, Python

Experience

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.

Work Experience

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, 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), Pandas, NumPy, Scikit-learn, Python

Diabetic Retinopathy Detection

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.

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, Mathematics, Machine Learning, Statistics, Data Cleaning, Data Analytics, Data Visualization, Statistical Analysis, Quantitative Analysis, Predictive Modeling, Data Analysis, Data Modeling, Physics, Data Engineering, Financial Markets, APIs, Mathematical Finance, Web Scraping, Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT)

Tools

Spyder, MATLAB, Microsoft Excel

2006 - 2012

PhD Degree in Mathematics

University of California, Los Angeles - Los Angeles, CA, United States

2001 - 2005

Bachelor of Arts Degree in Mathematics and Physics (Double Major)

Dartmouth College - Hanover, NH, United States

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