https://sasankauppu3.github.io/
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Restaurant-Hunter
December 7, 2018 – March 4, 2023
A mean stack-based web app to find nearby restaurants with a review and rating system for users.
View ProjectWhiteBoard-FrontEnd
November 17, 2018 – January 6, 2023
A web app frontend for instructors to publish different courses and lecture materials allowing students to access them and upload homework using MEAN stack with Java Backend deployed on Heroku.
View ProjectWhiteBoard-Backend
November 8, 2018 – May 12, 2021
A web app backend for instructors to publish different courses and lecture materials allowing students to access them and upload homework using MEAN stack with Java Backend deployed on Heroku.
View ProjectUndergrad-OpenGL-OSConcepts
August 16, 2018 – August 16, 2018
C++ Implementations of Graphics implementations with OpenGL and Operating systems concepts
View ProjectTitanic-Survival-Kaggle-Challenge
August 16, 2018 – August 16, 2018
Data science challenge to predict passenger survival rate in the titanic disaster
View ProjectSoftware-Design-Patterns-and-Testing
August 16, 2018 – August 16, 2018
Coursework of Managing Software Development CS5500 on implementing different design patterns and various testing methods
View Projectsasankauppu3.github.io
August 3, 2018 – June 2, 2021
Portfolio Website built using Jekyll themes hosted on github.io
View ProjectSearchEngine-InformationRetrieval-Coursework
July 7, 2018 – August 11, 2018
An efficient search engine from crawlers to algorithms such as Page Rank, BM25, Tf-Idf alongside query expansion and pseudo relevance feedback techniques using Python.
View ProjectPlagiarism-Detection-Tool
May 14, 2018 – August 11, 2018
Tool for comparing python codes using Abstract syntax tree matching algorithms with Java Spring Boot.
View ProjectAI-Stock-market-trend-predictor
January 11, 2017 – August 11, 2018
A ML model to predict if a company’s stock value will go up or down using Python and Sci-kit learn library.
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects spanning web development (MEAN stack, Java backend), data science, and even low-level programming (C++ OpenGL, OS Concepts). This indicates a broad interest in technology. However, the majority of projects are personal and coursework-related, with no explicit team or professional experience mentioned. While the breadth of skills is good, the depth in the target role of Data Scientist is primarily demonstrated through two projects. The lack of professional experience makes it difficult to assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges, but there is no information on collaboration, problem-solving approach, or communication style.