Data and AI Engineer providing expertise in developing end-to-end Data and MLOps pipeline for organizations. History of executing and managing data lifecycle projects in data engineering and machine learning.
Overview
6
6
years of professional experience
Work History
Senior Data & AI Engineer (Assistant Manager)
RAK BANK
09.2023 - Current
Data Engineering - Leading development of data pipelines and data models for various products in business analytics for various departmental reporting requirements.
Data Migration - Enabling data migration from on-prem to Azure cloud leveraging Azure Data Factory, Datalake and DataBricks.
MLOps - Automated processes for all live models including code refactoring and following industry standards, and setting standards for future use-cases.
Compliance Analytics - Created Credit Card customer segments based on transactional behavior and set up different thresholds for each segment to reduce False Positive Fraud alert generation by 30%.
Churn Retention - Business Banking customer attrition ML model developed which has successfully retained ~13% of customers, thus saving revenue in15 million of AED annually.
Probability of Default - Business Banking default ML model developed which has managed to identify such customers by7% and saved upto11 million AED annually.
Senior Data & AI Engineer (Assistant Manager)
Royal Cyber
04.2023 - 09.2023
Data Engineering - Designed an end-to-end data pipeline to automated data aggregations for stocks and inventory for a leading US bottle manufacturing company, Niagra Bottling on MS Azure. T
Mentored junior engineers regarding technical and client management.
Data & AI Engineer (Assistant Manager)
Habib Bank Limited
05.2020 - 04.2023
Data Engineering - Development of data pipelines and data models for various products for various departmental reporting requirements.
Computer Vision - Developed an OCR as well as a signature verification pipeline for automation of National ID card verification and document signature verification, thus reducing manual intervention completely. Used Generative AI (GANs) and Siamese Network for development of the ML models.
Recommendation System for cross-selling for various products such as credit card, investment products, auto-loan and mortgage loan using Gower similarity matrix.
Classification model to distinguish incoming emails as either complaints or queries, reducing false positive rates by 35% for both categories.
Potential Premium and Prestige customer identification for the current customer base using segmentation from transactional behaviors.
Probability of Default - Mobile Banking Business loan default ML model developed which has managed to identify such customers by 12%.
Assistant Manager Data Analytics
K-Electric
10.2018 - 01.2020
Time Series Forecasting for prediction of 50+ feeder power losses for the next one week with hyper-parameter tuning if required.
Customer power consumption pattern analytics for planning of maintenance and improvement of infrastructure.
The projects ensured cost-savings with respect to power load-shedding and outages by 5% altogether, which translated to around 20 million PKR.