Ritesh Choudhary

Boston, Massachusetts, United States Contact Info
2K followers 500+ connections

Join to view profile

About

An engineer driven by passion and professionalism. A jubilant individual by nature who’s…

Contributions

Join now to see all contributions

Activity

Join now to see all activity

Experience & Education

  • Thinkle

View Ritesh’s full experience

See their title, tenure and more.

or

By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.

Licenses & Certifications

Volunteer Experience

  • CRY - Child Rights and You Graphic

    Volunteer Intern

    CRY - Child Rights and You

    - 2 months

    Children

    - Organized and Administered social initiatives and campaigns hosted by the organization
    - Initiated fundraising activities, delegated calling corporates for events
    - Contributed to clerical work activities like maintenance of records and budgets while also I took control of fieldwork activities

Publications

  • A Study of Aging-Related Bugs Prediction in Software System

    Springer

    - Software Aging refers to the problem of deteriorated performance and increased failure rate in long-running software systems. Bugs are difficult to detect during software testing.
    - Therefore, early identification of these bugs can help in building a robust software system.
    - However, one major issue in ARB's prediction is the skewness of the dataset (class imbalance problem) that may cause bias in the learning of classification algorithms and thus may lead to a higher…

    - Software Aging refers to the problem of deteriorated performance and increased failure rate in long-running software systems. Bugs are difficult to detect during software testing.
    - Therefore, early identification of these bugs can help in building a robust software system.
    - However, one major issue in ARB's prediction is the skewness of the dataset (class imbalance problem) that may cause bias in the learning of classification algorithms and thus may lead to a higher misclassification rate.
    - The paper aims to investigate the effect of instance filtering (resampling) and standardization techniques with various classification algorithms when predicting aging-related bugs in the software system.
    - The results of the analysis show an improvement in the performance of the used classification algorithms with a reduced misclassification rate.

    Other authors
    • Satyendra Singh Chouhan
    • Santosh Singh Rathore
    See publication

  • Prediction of Sales Value in Online Shopping using Linear Regression

    IEEE

    - The aim of this paper is to analyze the sales of a big superstore, and predict their future sales for helping them to increase their profits and make their brand even better and competitive as per the market trends by generating customer satisfaction as well.
    - The technique used for the prediction of sales is the Linear Regression Algorithm, which is a famous algorithm in the field of Machine Learning. The sales data is from the year 2011-13 and the prediction of data for the year 2014…

    - The aim of this paper is to analyze the sales of a big superstore, and predict their future sales for helping them to increase their profits and make their brand even better and competitive as per the market trends by generating customer satisfaction as well.
    - The technique used for the prediction of sales is the Linear Regression Algorithm, which is a famous algorithm in the field of Machine Learning. The sales data is from the year 2011-13 and the prediction of data for the year 2014 is done.
    - Then, real-time data for the year 2014 is also taken and the actual data for the year 2014 has been compared to the predicted data to calculate the accuracy of the prediction. This is done so as to validate our results with the actual ones.
    - This in turn would help them take necessary actions to increase their sales.

    Other authors
    • Dr. Gopalakrishnan T
    • Sarada Prasad
    See publication

Projects

  • Developing a Semi-Supervised GAN for Fashion Images Classification

    -

    - Developed a semi-supervised Generative Adversarial Network model that works like a Convolutional Neural Network for fashion image classification but outperforms with 89% accuracy
    - Reduced the volume of data up to 96% for model training mitigating costs in Data Preprocessing

    See project

  • Prediction of Liver Diseases using Python

    -

    - Investigated and Evaluated various Machine Learning models for the best prediction of the presence of liver disease in a patient to be used as a resource in the Healthcare Industry
    - Optimized and Increased the model’s accuracy by 9% using Cross Validation Techniques producing impactful results

    See project

More activity by Ritesh

View Ritesh’s full profile

  • See who you know in common
  • Get introduced
  • Contact Ritesh directly
Join to view full profile

Other similar profiles

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Others named Ritesh Choudhary in United States

5 others named Ritesh Choudhary in United States are on LinkedIn

See others named Ritesh Choudhary

Add new skills with these courses

See all courses