Data Science Intern

• May 2023 - Present

Machine Learning Engineer

• Dec 2021 - Dec 2022

• Worked on a Feature Store to ensure consistent feature engineering, feature look up and one place where features could be ingested and served to models resulting in accurate features and streamlined model development. • Designed and implemented a Centralized Data Service that efficiently stores commonly accessed information and keys. • Worked on a Quality Monitoring Service (QMS) utilizing Selenium, Python, Fast API, Google Data Studio, and Google Big Query which proactively identified and reported on live model performance, enabling stakeholders to swiftly identify and address issues such as bugs, data drifts, or incorrect results. • Ran A/B Tests, continuous Integration/Deployment Pipeline Integration, pull requests, code reviews, load/stress testing Show less

Data Scientist

• Jan 2021 - Dec 2021

• Developed and deployed machine learning and deep learning models for detecting anomalies in a dataset with more than 40 million financial transactions resulting in 12% increase on f1-score of financial fraud detection model.• Migrated an AI based application for financial fraud detection to Spark cluster running on Kubernetes which enhanced its speed by more than 25% and reduced deployment time to nearly half.• Built hyper parameter tuning module to speed up prototyping and choosing best models for scores of different banking clients in more than 32 countries which resulted in saving 10s of hours of manual work each week. Show less

Artificial Intelligence Engineer

• Jul 2020 - Jan 2021

Summer Intern

• Jul 2019 - Aug 2019

‐Used Google’s deep learning model Efficient Net to solve a problem of detecting 14 common thoracis diseases in NIH’s Chest Xray data containing more than 100,000 images which achieved 1.5% better ROC score than state of the art. -Worked on Python Programming, Robotic Process Automation, Mockup Design and development of Hospital scheduling system. ‐Used Google’s deep learning model Efficient Net to solve a problem of detecting 14 common thoracis diseases in NIH’s Chest Xray data containing more than 100,000 images which achieved 1.5% better ROC score than state of the art. -Worked on Python Programming, Robotic Process Automation, Mockup Design and development of Hospital scheduling system.

Exchange Student

• Oct 2013 - Nov 2013

‐Arranged activities and seminars across different schools and colleges situated in North Carolina, United States that will promote cultural understanding between American and Pakistani students. ‐Arranged activities and seminars across different schools and colleges situated in North Carolina, United States that will promote cultural understanding between American and Pakistani students.