Morgan Lee Sandler
Applied Research and Data Scientist
428 S. Shaw Lane, Rm 3115
East Lansing, Michigan, USA
I am a master’s student in the Integrated Pattern Recognition and Biometrics Laboratory (iPRoBe) located at Michigan State University. I am under the supervision of Dr. Arun Ross. My latest resume can be downloaded here. Feel free to contact me via email.
Emotion Analysis in Speech, Machine Translation, Astrophysics, Severe Weather Analysis
Python (5 years exp.), SQL (2 years exp.), TensorFlow (1 year exp.), PyTorch (1 year exp.), C++ (3 years exp.), Research, Scientific Writing
- Presenting latest research at 2nd Data Science Student Conference (To Appear), November 2022
- Poster presentation @ MSU Graduate Engineering Research Symposium, August 2022
- Poster presentation @ MID-SURE Undergraduate Research Symposium, July 2021
Highlighted Experiences (Full Resume)
Raytheon Technologies, Data Scientist Internship, Summer 2022
- Established a 185,000-node graph based upon employee-management hierarchy in Python, pandas, and NetworkX to model the spatial relations of employee behaviors and attitudes for visualization of company-wide (post-merger) user adoption of Office 365 (O365) tools.
Pratt & Whitney, Software Engineering Internship, Summer 2021
- Built a data entry system in ASP.NET, EF Core, and C# to allow secure access to critical SQL data used by 100+ senior managers in vital business decisions.
United Airlines, Machine Learning Capstone Project, Spring 2021
- Built a Computer Vision software with Python, YOLOv3, and template matching to identify aircraft maintenance tasks for auditing safety risks during aircraft turns at Chicago O’Hare airport.
Quicken Loans, Software Engineering Internship, Summer 2020
- Identified non-match errors in loan document processing software which affects 3% of documents. Built a solution that implements distance and cosine similarity algorithms in OpenEdge ABL to tolerate small input discrepancies.
Honors & Awards
- Awarded the Christopher J. Jackson Endowed Scholar of Computer Science, 2021
Is style all you need? Dependencies between emotion and GST-based speaker recognition