Experience

September 2021 to Present

Kyndryl

Data Scientist (Contractor)
  • Part of a system design team to upgrade current product into scalable containerized micro-services which resulted in high efficiency and quick development/improvement of independent features.
  • Working with cross functional teams to ensure robust product development and client satisfaction.
  • Engaging with clients to get feedbacks and understand their requirements.
  • Automating AI pipelines such that they can adjust to data shift and learn new patterns quickly.
August 2019 to August 2021

IBM

Data Scientist (Contractor)
  • Using state of the art tools, techniques and algorithms to develop and improve Automated Ticket Routing and Assignment.
  • Developed a binary text classifier to detect spam tickets which saves money and time to resolve those tickets.
  • Implemented different clustering techniques to generate an alert on similar problems/incidents based on time on text data.
  • Updated word embeddings for text data which increased performance by 15% and were 5 times less in length than previous one.
  • Improving performance of existing Machine/Deep Learning systems and ensuring they are production ready.
  • Developing scripts to automate the analysis, cleaning and visualization of text data.
  • Verifying security issues while developing systems and ensuring it passes pen testing phase.
  • Developed set of useful practices for imbalanced datasets.
April 2019 to July 2019

IBM

Graduate Analytics Intern
  • Performing Analysis & Manipulation of datasets
  • Developing, Executing & Validating Machine Learning Models
  • Reporting key findings & model performance on daily/weekly basis
  • Improved the performance & bug fixes in existing scripts