Software Developer | Machine Learning

Work with progressive organisation that gives the opportunity to utilise my skills in achieving common goals of the corporation and a bright personal career. Currently enrolled at The University of Queensland for Master of Data Science. Three and a half year of working experience in a highly scalable messaging platform and web services, built using Tornado asynchronous server, Celery task scheduler, Redis, SQLAlchemy the ORM and other technologies built on python delivering innovative products, services and solutions for Digital Health.


Master of Data Science

Course's Semester 1
  • Operation Research & Mathematical Planning
  • Advanced Database Systems
  • Introduction to Data Science
  • Mathematics for Data Science
  • Course's Semester 2
  • Responsible Data Science
  • Machine Learning for Data Science
  • Data Mining
  • Applied Probability & Statistics

  • GPA: 6.25/7

    Summer Research Scholar | The University of Queensland

    Research Topic: Artificial intelligence for the prediction and prevention of concussion

    CyberBullying Detection in Social Media | Toxic Comment Classification Challenge | Kaggle
    Cyberbullying is a crime where one person becomes the target of harassment, racism, toxicity and hate etc. A sequential deep learning architecture: Embedding, Convolution, Max Pooling, Dense layers eliminates the need for feature engineering and produces better prediction than traditional machine learning approaches using the concept of word embedding using a high-level API of TensorFlow open-source library.

    Analyzing the Factors Affecting Delivery Time | Olist | Kaggle
    E-commerce has increasingly become more popular as well as customer's expectations. Olist, an ecommerce platform, does not always predict an accurate delivery time. We go through the data science process to reduce the error in estimating the delivery time. After explorative data analysis, we identify the features that contributes to the longer estimated delivery time. In consideration to the findings of the analysis we make recommendations that can be considered to improve delivery experience.

    Software Developer | Zs Solutions Ltd

    Aglie Development
  • Responsive and agile development professional experienced in full project lifecycles
  • Deliver user stories for server-side application on a weekly basis or fortnight that is robust, functional, and scalable
  • Use SCRUM for agile development and participate in team-led solutions, reviewing peer’s code for quality and completeness
  • Identify development issues, brainstorm solutions, and constantly improve the solution via testing and feedback until the issue is resolved
  • Write unit tests and proper documentation of code
  • Deploy code to test servers and production
  • Experience
  • Worked for SmartIdeas group of companies delivering innovative products, services and solutions for Digital Health and Integrated Messaging on a global scale
  • Lead developer for web application registration module with payment gateway. LifeMed
  • Lead contributor in upgrading Python EOL 2.7 to 3.7 and Django Framework 1.55 to 2.2 LTS for the application. LifeMed
  • Contributor to a highly scalable messaging platform and web services, built using Tornado asynchronous server, Celery task scheduler, SQLAlchemy the ORM
  • Contributor for a Custom Messaging Service product. Parcelforce Worldwide
  • Lead Developer for implementation of two-factor authentication. SmartMessage
  • Developed necessary RESTFUL-APIs in order to comply with GDPR. SmartMessage
  • Undergraduate Degree

    Bachelor of technology in computer science & technology from National Institute of Technology, Rourkela, India
    Final year thesis on the study of an item based collaborative filtering, recommender System
    Graduated with first-class grade