Sidhartha Amperayani's repositories
Drug-Designing-using-AI
Improving a feed forward neural network to predict bioactivity between compounds and targets. Finding better descriptors of the molecular data can significantly improve the quality of the results.
e-commerce-store
Developed and hosted a web service that provides two operations; a client application that invokes the operations, and a coordination handler from the service side that enforces the correct order of the invocation. This web service has a backend database and one of the operations is to allow users to query the database.
Social-Network-Application-using-MERN
a web-based application that facilitates users to post pictures, videos, and entries
Topic-modelling-for-articles
Used gensim to perform topic modeling on a data between 10 and 30 topics. For each topic modelled, measured its performance using perplexity, Bayesian information criterion, and coherence. For each measurement, used matplotlib to graph each measure for each of the number of topics used.
Amperayani_Portfolio
Portfolio website demonstrating my projects and tableau dashboard
Analasis-of-NY-311-Service-Requests-Dataset
Created data visualizations to better understand the trends in 311 Service Requests across NYC over a period of 10 years.
Employee-Salary-Estimator
Developed a model to predict approximate salary for a data scientist position
ETL-Development-for-Financial-Performance-Data-Mart
Developed a Data Mart to help a company analyze financial performance and manage relationships with sister companies.
Exploratory-Data-Analysis-of-Used-Car-listings
This is an exploratory data analysis of used car listings on Craigslist
Image-processing
Image processing (dimension reduction) using PCA and numpy
language-processing
list of 20 most frequent words based on their document frequency
Leetcode
Here you can find all my leetcode submissions
Playing-with-pandas
Using normalize function and eucledian distance function computed distance between 2 rows
Playing-with-statististics
calculating the mean and medians of each of the columns, with confidence interval and bootstrapping
Resume
Link to resume
Wikipedia-Language-Classification
Trained and Classified sentences into respective languages using Decision Trees and Adaboost stumps algorithm. Achieved 100% classification accuracy
Working-with-SOAP-and-RESTful
Developed an application that invokes three public web services, with one SOAP-based service with WSDL and 2 RESTful
Year-round-Orienteering
given a map with terrain information, elevation contours, and a set or sequence of locations to visit ("controls"), generate optimal paths for orienteering