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Saheel Ravindra Sawant's Projects

analyzing-dataset-using-ab-test-and-regression icon analyzing-dataset-using-ab-test-and-regression

This project is a system which performs an A/B test to compare conversion rate performances between two web interfaces of a website based on the collected data impressions. In this a regression approach is also used, which considers the p value and Z scores to further verify the results and to determine the dependency between factors considered in the hypotheses.

cala-crime-analysis-in-los-angeles- icon cala-crime-analysis-in-los-angeles-

In this project, a dynamic web interface is created using JSP to extract crime related trends and insights using complex queries. The data set used consist of 1 M tuples which were processed, modeled as per the integrity constraints, normalization rules and stored into SQL Oracle developer. A Model-View-Controller (MVC) architecture is used in this project and JDBC is used to connect the front end and back end.

construction-management-system icon construction-management-system

This project is a system developed to manage the work schedule at a construction site. The project is implemented using the data structures like Heap and Red Black tree.

exploratory-data-analysis icon exploratory-data-analysis

This project is based on data wrangling and exploratory data analysis with visualizations using Jupyter Notebook and Microsoft Excel. The CSV files are wrangled, cleaned and standardized using some data science libraries like pandas, numpy and matplotlib.

gossip-simulator icon gossip-simulator

In this project, two algorithms, namely gossip and push-sum are implemented for four different types of topologies: line, full, 2D, and imp2D. While executing the program, three command line parameters are required: the number of nodes, topology name, and algorithm name. Lastly, based on these inputs, a convergence time is calculated.

identity-ledger-on-blockchain icon identity-ledger-on-blockchain

This project was developed during Spring 2020 as a part of the curriculum of course CIS6930: Blockchain: Optimization and Applications by My T. Thai at the University of Florida. It is a block-chain based system that provides access management for documents to be exchanged between users. It is implemented using the concepts of digital smart contracts and cryptographic hashing of public and private keys of parties involved in the transaction.

notespace icon notespace

This project was developed during Spring 2020 as a part of the curriculum of Human Computer Interaction taught by Dr. Sharon Chu at the University of Florida. It is based on the idea of improving the note making process from text based PDF documents using the HCI concept of Direct Manipulation.

showwcase-da-intern-assignment icon showwcase-da-intern-assignment

Data Analysis is performed on the user engagement dataset collected by Showwcase for the month of October 2019. Data Science libraries like matplotlib, pandas are used to analyze and visualize data. Inferences are provided based on the observations.

sports-analysis-and-outcome-prediction-system icon sports-analysis-and-outcome-prediction-system

This project is based on the idea of an intelligent system to predict the winning odds for a Cricket (Indian Premier League) or Football (English Premier League) match using both categorical and numerical parameters of a historical datasets. Used Principal Component Analysis (PCA) to generate attack and defense strengths for each team and performed comparative analysis using Machine Learning algorithms.

twitter-json-based-api icon twitter-json-based-api

A Twitter clone based on a client-server architecture is developed, which uses a JSON based API to execute different Twitter functionalities and perform client-server communication. GET/ POST requests are made to API endpoints to send user inputs.

wrangling-and-analyzing-twitter-data--weratedogs icon wrangling-and-analyzing-twitter-data--weratedogs

This project is based on wrangling data generated by Twitter handle @WeRateDogs which is obtained from multiple sources and is in different formats. This data is checked for different data quality and tidiness issues. It is further transformed and merged into a single acceptable file in order to gain insights and visualizations.

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