Alyssa Batula
Data Scientist
Indianapolis, Indiana, United States
Summary
👤
Senior🎓
Top SchoolAlyssa Batula is a data scientist with 12 years of experience applying signal processing, machine learning, and full-stack engineering to real-world problems, currently building production analytics at Cox Automotive. Her PhD work developed a brain-computer interface using fNIRS to control an assistive robot, combining IRB-approved human-subject experiments, real-time Python systems, and comparisons of neural network architectures. She moved from research into industry software engineering, then refocused on automating tedious manual processes like data entry through algorithmic solutions. An active open-source contributor, she has contributed tests and docs to scikit-learn and full-stack improvements to the popular Habitica project, evidencing both ML rigor and practical product sense. Based in Indianapolis, she blends deep academic training with hands-on engineering to turn complex data into usable, automated systems.
13 years of coding experience
11 years of employment as a software developer
Ph.D, Electrical Engineering, Ph.D, Electrical Engineering at Drexel UniversityElectrical and Computer Engineering, Electrical and Computer Engineering at Jacobs UniversityB.S, Electrical and Computer Engineering, B.S, Electrical and Computer Engineering at Lafayette College
Github Skills (24)
javascript10
python10
data-science10
scikit10
machine-learning10
scikit-learn10
bit10
nodejs10
habits10
testing9
express-ts9
documentation9
test-automation9
data-analysis8
mongodb8
Programming languages (4)
Github contributions (5)
scikit-learn/scikit-learn
Apr 2014 - Oct 2016
scikit-learn: machine learning in Python
Role in this project:
Data Scientist
Data ScientistContributions:5 commits, 1 PR, 3 comments in 2 years 6 months
Contributions summary:Alyssa primarily contributed to documentation and testing related to the scikit-learn library, a machine learning project. Their work included updating installation instructions, specifically for Arch Linux, and ensuring documentation generation was compatible with both Python 2 and 3. They also implemented a unit test for a new property added to the GridSearchCV class, demonstrating an understanding of the library's functionality and testing procedures.
machine-learningpythonscikit-learnstatisticsdata-science
HabitRPG/habitica
Sep 2016 - Jul 2017
A habit tracker app which treats your goals like a Role Playing Game.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:6 commits, 7 PRs, 66 comments in 10 months
Contributions summary:Alyssa contributed to various aspects of the Habitica application, demonstrating full-stack capabilities. Their work included modifications to the frontend, such as changes to the avatar display in Jade templates. They also made backend adjustments to the group model, including improvements to collection quest progress reports and the handling of no-item scenarios. Furthermore, the user worked on features that impact the application's core mechanics, such as managing pets/mounts and critical hits.
trackerexpressvuereactjsrole
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