Rahul Dave
Senior Scientist at Univ.AI
Somerville, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolRahul Dave is a Senior Scientist and co-founder who blends 16+ years of research and teaching with hands-on AI, Bayesian statistics, and large-scale data systems work. He taught data science and probabilistic modeling at Harvard before founding Univ.AI to teach and consult on practical AI strategies for diverse audiences and organizations. His background spans cosmology and astrophysics—culminating in a Ph.D.—and applied computational projects such as the ADS/VAO AstroExplorer and time-series search tools, showing a track record of building production-ready research software. Rahul ships code across the stack (notably contributing to Harvard’s CS109 course repos and data notebooks) and now applies those skills to credit analytics at CredCore and consulting engagements. He favors solving big, messy scientific and social questions at the intersection of technology, journalism, and social change. Expect a pragmatic, research-driven approach that bridges rigorous Bayesian methods with deployable machine learning solutions.
16 years of coding experience
21 years of employment as a software developer
BSc Physics, BSc Physics at St. Xavier's CollegePh. D. Physics, Ph. D. Physics at University of Pennsylvania
Hindi, Gujarati
Github Skills (12)
pandas10
notebook10
jupyter-notebook10
ipython10
python10
numpy10
matplotlib10
data-analysis10
scikit-learn9
scikit9
git9
seaborn8
Programming languages (13)
Github contributions (5)
cs109/a-2017
Jun 2017 - Nov 2017
Public Repository for cs109a, 2017 edition
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:70 commits, 58 pushes, 2 branches in 5 months
Contributions summary:Rahul merged the master branch of the repository, indicating integration of changes. The commits contain code differences in a Jupyter Notebook, including import statements for libraries like pandas, numpy, and scikit-learn. The code explores and loads a dataset and explores.
public-repositorymachine-learning
cs109/2015lab1
Sep 2015 - Sep 2015
Role in this project:Data Scientist
Data ScientistContributions:11 commits, 9 pushes, 1 branch in 6 days
Contributions summary:Rahul's primary contribution involves modifications to an iPython Notebook (`Lab1-babypython.ipynb`) within the context of a data science course. The commits demonstrate initial code implementation and demonstrate familiarity with data science related libraries. The user's modifications included code additions to make git and windows compatible, showing some degree of comfort with git operations and an understanding of the tools involved in the course. Further commits reveal that the user made copies of original notebooks and incorporated the `hw0.ipynb` notebook into the lab.
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