Head of Undergraduate Research
2012 - 2020University 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, PythonStatistics Consultant
2017 - 2019SSB 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 NotebookMachine Learning Consultant
2016 - 2019LeadPoint, 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
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
- University of Southern California, Department of MathematicsAmazon Web Services (AWS), Scikit-learn, TensorFlow, AWS, Python
- SSB Legal TechnologiesMicrosoft Excel, MATLAB, Pandas, NumPy, Jupyter Notebook
- LeadPoint, Inc.Amazon Web Services (AWS), AWS, Pandas, NumPy, Scikit-learn, Python
Experience
- Quantitative Research 15 years
- Algorithms 15 years
- Mathematical Modeling 15 years
- Quantitative Analysis 15 years
- Pandas 8 years
- Python 8 years
- Data Science 8 years
- Machine Learning 8 years
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
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, RLibraries/APIs
Pandas, Scikit-learn, NumPy, TensorFlowParadigms
Data Science, Quantitative ResearchPlatforms
Jupyter Notebook, Amazon Web Services (AWS), AnacondaStorage
Data ValidationOther
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
PhysicsTools
Spyder, MATLAB, Microsoft Excel
Education
- PhD degree in Mathematics2006 - 2012University of California, Los Angeles - Los Angeles, CA, United States
- Bachelor of Arts degree in Mathematics and Physics (Double Major)2001 - 2005Dartmouth College - Hanover, NH, United States
