Neel Tiruviluamala
Verified Expert in Engineering
Machine Learning Developer
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
Experience
Availability
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
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.
Statistics Consultant
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.
Machine Learning Consultant
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.
Experience
Diabetic Retinopathy Detection
https://github.com/RaymondPaley/DRDSkills
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
Education
PhD Degree in Mathematics
University of California, Los Angeles - Los Angeles, CA, United States
Bachelor of Arts Degree in Mathematics and Physics (Double Major)
Dartmouth College - Hanover, NH, United States
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