Key accomplishments

  • Constructed a credit risk and credit card fraud detection model using an XGBoost classifier to assess the probability of loan repayment, resulting in 40% decrease in defaults, slashing fraudulent transactions by 70%, and lowering costs associated with managing chargebacks.
  • Created a mortgage calculation model using RandomForest regressor, enabling potential customers to estimate their mortgage amount.
  • Boosted operational productivity by 35% via creation of machine learning solutions.
  • Fortified Barclays’ security measures by developing and rolling-out sophisticated models for credit card fraud detection, risk categorization, and loan approval.
  • Designed a real-time data streaming solution using AWS Kinesis to efficiently handle and process high-volume credit card transactions for a fraud detection system, ensuring scalability and robust data management
  • Achieved 80% reduction in wastages and boosted revenue by designing and implementing seven forecasting models for different Roban stores across multiple regions.
  • Conceptualized and developed a Streamlit-based user interface, empowering demand planning team with batch prediction capabilities from cloud-deployed models.
Role 1
Machine learning engineer
Role 2
Data scientist
Test Score
AI, Machine learning, Data Science
100%
Unspecified
full-time 40-hours-per-week
Any
Lead
Canada
Any
NA
Remote
$150,000.00 / Annual
Willing to work for equity + rewardsWilling to work for stock and paid projects

Tags

AITech

Education

Experience

Expertise

Machine Learning
95

Languages

English
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