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archived-dotfiles
October 10, 2024 – October 15, 2024
archived-dotfiles — GitHub repository
View Projectexpand-rank-with-string-subsequence-kernel
June 30, 2019 – July 1, 2019
expand-rank-with-string-subsequence-kernel — GitHub repository
View Projecttower-of-hanoi-implementation
March 6, 2019 – March 6, 2019
tower-of-hanoi-implementation — GitHub repository
View Projectperceptron-implementation
March 6, 2019 – March 6, 2019
Perceptron implemented from scratch using python. A csv file consisting of some 2d points, some of them labelled 1 and others -1, is fed to the program and a hyperplane is plotted at the end, separating the two classes, demonstrating that the perceptron is working,
View Projectnaive-bayes-implementation
March 5, 2019 – March 5, 2019
Naive Bayes implemented from scratch in python. The algorithm is used to build a spam filter (using data from ). Training data consists of 70% of the data and the rest 30% of the data is treated as test data. Accuracy, precision and recall are then displayed for each category (spam and ham) as output.
View Projectback-propagation-algo-implementation
March 5, 2019 – March 5, 2019
Back Propagation algorithm implemented from scratch using python. The program allows variable number of neurons and any activation function (provided the function and its derivative are defined in the code). To test if the algorithm is working, three cases are considered.
View Projectk-Means-Algo-Implementation
March 5, 2019 – March 5, 2019
Implemented k-Means algorithm in python from scratch. To demonstrate k-Means algorithm, three groups of data points (each group contains 40,000 points adding up to 1,20,000 points) were generated from a normal distribution with three different centers. At the end, a graph is generated which shows the working of the algorithm.
View ProjectCultural Fit Analysis
The candidate shows initiative through numerous personal projects, indicating a self-starter attitude. The diversity of projects, including machine learning implementations and system configurations (dotfiles), suggests a broad interest in technical challenges. However, the projects are primarily academic/personal implementations, and there is no information on team collaboration or professional work experience, which limits the assessment of cultural fit for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approach, or communication style in a team setting.