I am Bhavesh,a software engineer enthusiast.

Currently, I am pursuing masters in computer science at Boston University. Here I am specializing in Data analytics. I have done serveral projects that included designing UI wireframes,creating backend, designing databases, creating front-ends,creating data analytical dashboards, predicting insights and hosting the web applications. I have also helped some organizations in creating their data engines. I am always looking for new and challenging tasks. My goal is to make valuable contribution in all the fields I am working on.

Agot.ai

I worked at Agot.ai as a software engineer intern from June 2020 to August 2020

  • Designed and Implemented RESTful endpoints for Analytics of food preparation leveraging Python, Postgres, web security using OAuth 2.0 protocols
  • Developed GET and PUT REST API’s for fetching and updating the Orders information from POS, maintained history of all update operations of store orders in databases
  • Integrated Universal Omnivore API’s for product, which can be used for integrating any restaurant POS.
  • Implemented proper periodic events for POS integration using schedule framework.
  • Technologies: Git, Flask, Python, REST, MongoDB, SQL Alchemy, MySQL.

Cognizant Technology Solutions

I worked at Cognizant technology solutions as a Programmer analyst from June April 2018 to July 2019

  • Built frameworks to ease data transfer from one network to another. This reduced data leakage by 63%.
  • Enhanced user interfaces to build advanced UI features for group protection plans.
  • Collaborated on the automation framework and increased the quality of product (Internal tool).
  • Technologies: Selenium, Java, Git, JIRA, Eclipse, Test bed.

Image Search API

  • The project was aimed to develop search for Images and browser recent search queries.
  • Using paginate through the responses by adding offset value, GET RESTful method for retrieving the data.
  • Technologies: Express, Cors, Bing Search API, MongoDB, Mongo Atlas

Real Time Messenger application

  • Project aimed to develop a Real-time data transfer between persons using node.js for backend, front end react.js and socket.io for enables real time communication between web clients and server.
  • Concepts of send and receive messages using web sockets and socket.io to make real time application.

Experimental Web Search engine

  • Search engine was developed and used to retrieve most relevant information from the BU web pages for query.
  • Term frequency – Inverse document frequency (tf-idf), Cosine similarity, python was used.

Strongest team prediction for FIFA 2018

  • Predicting various important attributes such as physicality and defense of the FIFA players 2018 and thus estimating the team's overall potential and rank which can be useful to analyze the strongest team.
  • Regression models,Decision Tree,Random Forest,logistic regression,KNN,Navie Bayes were used.
  • Technologies: Sklearn, TensorFlow, Keras.

Soil moisture prediction using different machine learning algorithms

  • Built a RNN using Theano and keras libraries, for prediction of soil moisture for 1day, 2days and 7days ahead
  • Built SVM and multiple linear regression, these techniques were applied on different datasets
  • Multiple linear regression model predicted accuracy of (94%,) when compared to other models

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