Saagarikha Srinivasan
Data ScientistCaliforniaMember since June 27, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
saagarikha.github.io
November 2, 2018 – November 2, 2018
Hit here if you want to know a little bit more about what I do!!
View ProjectInformation-Retrieval
September 5, 2016 – September 5, 2016
Information-Retrieval — GitHub repository
View ProjectAndroid-Corona-Game-Engine
September 5, 2016 – September 5, 2016
Android-Corona-Game-Engine — GitHub repository
View ProjectMachineLearning
September 5, 2016 – September 5, 2016
MachineLearning — GitHub repository
View ProjectAutomated-Bug-Triaging-to-Developer
January 7, 2016 – January 8, 2016
For popular software systems, the number of daily submitted bug reports is high. Triaging these incoming bugs is a time consuming task. Major part of bug triaging is the assignment of a bug report to a developer with the appropriate expertise, who can resolve/fix the bug without reassigning to some other developer. We present an approach to automatically suggest developers who have the appropriate expertise for handling a bug report based on the identified software component the bug may reside in, obtained from the short description of the bug report. Our work is first to examine the impact of multiple machine learning dimensions( classifiers and training history) along with the ranked list of developers for prediction accuracy in bug assignment. We validate our approach on Eclipse Bugzilla covering 2,868,000 bug reports consisting of 253 components. We demonstrate that our techniques can achieve up to 93% prediction accuracy in bug assignment and significantly reduce the aberrant assi
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate an interest in various technical areas including data science, information retrieval, and even game development. This indicates a broad curiosity, but the lack of team-based projects or professional experience makes it difficult to assess cultural fit for a collaborative environment. The projects align with the target role of Data Scientist, but the breadth of other projects (e.g., ChessGame, Android-Corona-Game-Engine) suggests diverse interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.