Amna Gul
****@********.***.*** 682-***-**** Los Angeles, CA
github.com/guluna linkedin.com/in/agul-cs tinyurl.com/amnagul EDUCATION
UNIVERSITY OF SOUTHERN CALIFORNIA, USA M.S. Business Analytics Aug 2024 - May 2026
• Coursework: LLM (Building AI Agents), Operations Research, Probability & Statistics, Causal Inference, GIS GEORGE WASHINGTON UNIVERSITY, USA M.S. Data Science Aug 2019 - May 2021
• Recipient of $40,000 Global Leaders Fellowship Award
• Awarded with prestigious Fulbright Scholarship funded by US State Department
• Ranked amongst top 14% out of 1200+ competitor teams in Kaggle’s Chest X-ray Object Detection competition by implementing an ensemble of object detection and classification models to identify thoracic abnormalities. GHULAM ISHAQ KHAN INSTITUTE, PAKISTAN B.S. Computer Systems Aug 2010 -Jun 2014
• Winner of Best Final Year Project at GIKI open house career fair
• Awarded full tuition fee waiver for outstanding performance throughout my undergraduate studies TECHNICAL SKILLS
AI/ML: Supervised and Unsupervised Learning, NLP, Deep Learning, Transfer Learning, LLM fine-tuning and prompt engineering
Tools and Framework: Python (scikit-learn, Tensorflow, PyTorch, Hugging Face), SQL, R, Tableau Big Data and Cloud: AWS, GCP, Apache Spark, Hadoop Responsible AI: Fairness metrics, bias mitigation, model explainability, ethical AI frameworks PROFESSIONAL EXPERIENCE
DATA SCIENTIST Asian Development Bank Jul 2022 - June 2023
• Conducted large-scale predictive modeling and statistical analysis to extract actionable insights for real- time economic indicators, showcasing expertise in big data and predictive analytics.
• Engineered a scalable data ingestion and processing pipeline for real-time maritime traffic monitoring, leveraging Big Data technologies (>8 billion data points) and advanced machine learning techniques, reducing storage and processing needs by 86%.
• Collaborated cross-functionally with international teams to publish a peer-reviewed methodology on unlocking insights from Automatic Identification System (AIS) data: Publication Link. DATA SCIENTIST Teradata Corporation Aug 2021 - Jun 2022
• Developed advanced Computer Vision pipelines to assess drilling equipment damage, leveraging Python and PyTorch to enhance evaluation accuracy by 30%, demonstrating expertise in AI-driven solutions.
• Designed and deployed interactive dashboards for a major healthcare insurance provider using Network Graph Analysis, uncovering associations between medical conditions, and enabling 18% savings on claims costs.
ASSISTANT DIRECTOR State Bank of Pakistan Aug 2015 - Aug 2019
• Designed and implemented national refinancing schemes and credit guarantee facilities, enabling over PKR 30 billion (~USD 190M) in access to finance for underserved segments, including women-led MSMEs.
• Spearheaded a cross-departmental initiative leveraging A/B testing to integrate sex-disaggregated data in SME reporting frameworks, laying the groundwork for gender-sensitive policymaking. LEADERSHIP AND TEACHING EXPERIENCE
TOASTMASTERS INTERNATIONAL (Teradata Chapter) Secretary and Competitor TEACHING ASSISTANT (USC) Business Analytics Courses