Akshay Narasimha
Quantitative Researcher & Developer
Hyderabad, Telangana, India
Summary
👤
Senior🎓
Top SchoolAkshay Narasimha is a quantitative researcher and developer with 12 years of experience building end-to-end data platforms and enterprise data products, currently driving quantitative research and development at ADIA from Hyderabad. He has led data platform teams and infrastructure work across Zoom and AdOnMo, combining hands-on engineering with operational oversight of ingestion, transformation, and delivery pipelines. A strong open-source contributor, he improved core machine-learning tooling by refactoring scikit-learn’s LinearRegression and has experience integrating public scientific datasets via projects like Retriever. Trained in engineering and economics at BITS Pilani, he brings a rare blend of numerical rigor, production-grade software craftsmanship, and a curiosity for scientific tooling dating back to Google Summer of Code projects in astrophysics and computational geometry.
12 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
English, Hindi, Telugu
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
scikit10
testing10
machine-learning10
python10
data-engineering10
scikit-learn10
user-data9
data-model9
data-analysis9
datasets9
data-set9
postgresql9
data-retrieval9
statistics8
mysql8
Programming languages (8)
Github contributions (5)
weecology/retriever
Mar 2015 - Feb 2016
Quickly download, clean up, and install public datasets into a database management system
Role in this project:
Data Engineer / Backend Developer
Data Engineer / Backend DeveloperContributions:8 commits, 7 PRs, 14 comments in 11 months
Contributions summary:Akshay primarily contributed to the project by adding a new eBird observation dataset, writing Python scripts to integrate and process it, and updating existing files. The work involved defining table structures, implementing data ingestion from CSV files, and modifying existing engine files for CSV, Postgres, and MySQL database interactions. The user also made improvements by adding docstrings and refactoring small amounts of code.
database-managementdata-retrievaldatasetpythondata
scikit-learn/scikit-learn
Sep 2014 - Jan 2015
scikit-learn: machine learning in Python
Role in this project:Back-end Developer
Back-end DeveloperContributions:16 commits, 6 PRs, 6 comments in 3 months
Contributions summary:Akshay primarily focused on refactoring and improving the `LinearRegression` class within the scikit-learn library. They removed the `n_jobs` parameter from the `fit` method and moved it to the constructor, along with adding related deprecation warnings and tests. The user made several PEP8 fixes and documentation updates to reflect these changes and ensure code quality. They also added tests to ensure the `n_jobs` parameter functions correctly, which demonstrated a focus on maintainability and usability.
machine-learningpythonscikit-learnstatisticsdata-science
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