Ojaswy Akella Profile Picture

Ojaswy Akella

Student

I am currently majoring in Computer Science. Experienced in developing web-pages and handling Data. Worked on projects varying from Application development to Sentiment Analysis to Artifical Neural Networks to Cosmology.

A research enthusiast. A competetive coder. A curious learner.

Timeline

Education

  • July, 2017 - May, 2022

    University of Hyderabad

    Integrated MTech. Computer Science

    Currently pursuing Integrated Masters of Technology in Computer Science [5 years course], at University of Hyderabad.

Internships

  • October, 2020 - March, 2021

    Indian Institute of Management - Ahemedabad

    Research Assistant on a project where we worked with a rapidly growing startup with over 5M active users in India to conduct a large scale field experiment and analyse consumer behaviour which inturn helps in improving their user engagement and experience

  • June, 2020 - August, 2020

    Indian Institute of Management - Ahemedabad

    Research Intern on a paper titled "The Value of Crowdedness as In-store Promotion" where I collected, cleaned and analysed granular data from people‘s mobile devices in the United States to assess whether crowdedness can serve as a signal that enhances consumers‘ evaluations of a retail store.

  • January, 2020 - October, 2020

    Federation of Obstetric and Gynaecological Societies of India

    Developed an Andorid Mobile Application to help analyse and prevent Maternal Deaths and Stillbirths in India

  • December, 2019

    Kharagpur Winter of Code

    Part of the team working to fix a few of the issues of the EinsteinPy core package.

  • 1st July - 31st August, 2019

    Indian School Of Business

    Worked as a

    Software Developer

    on the project 'Financial Portfolio Development' under the supervision of Prof. Deepa and Prof. Shashwat, where we built an AI based software tailered to meet the client's requirements from scratch

Publications

  • October 2019

    Software to Alert Distracted Drivers

    Presented as a part of Poster Session at PYCON India, 2019

  • June 2018

    Neural-Networks Recognizing hand-written digits

    Developed a Neural-Networks system capable of recognizing hand-written digits with an accuracy of 97.52% and presented this in Coherence - An Annual Research Symposium organised by University of Hyderabad

  • January 2018

    Sentiment Analysis of Twitter

    Co-authored an IEEE paper on Sentiment Analysis of Twitter Using Naive Bayes Algorithm

Skills

  • Web Development
  • Python
  • Java
  • C++
  • Golang

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