Machine Learning Data Science

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: Data Visualization, Operations Research, Probability & Statistics, Causal Inference

• Project: Developed an Aspect-Based Sentiment Analysis system using OpenAI’s API, leveraging retailer website reviews to extract sentiment insights at Category, Subcategory, and Tag levels. Designed an interactive dashboard to visualize sentiment trends and key metrics, enabling data-driven decision-making. 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

Programming Languages: Python, SQL, R

Big Data & Machine Learning: Google BigQuery, Snowflake, Apache Spark, Hadoop, Tensorflow, PyTorch, Python (e.g. scikit-learn, numpy, pandas, matplotlib), OpenAI API, Hugging Face, GenAI, LLM Data Science & Miscellaneous Technologies: Data Science pipeline (data mining, cleansing, wrangling, visualization, modeling, interpretation), Time Series, Natural Language Processing, A/B Testing, Kubernetes, Excel, Jupyter Notebook/Lab, APIs, Git, Tableau, AWS, Data wrangling, Data visualization, and Exploratory Data Analysis (EDA), Docker, Prototyping

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

• Developed a credit risk scoring model for telecom subscribers, employing statistical analysis and machine learning algorithms to achieve 95% accuracy, addressing challenges with non-traditional financial histories.

• Designed and implemented database schemas and real-time dashboards using SQL and Tableau, accelerating decision-making processes for senior management by improving data accessibility and visualization.

• Provided strategic insights by analyzing large datasets, driving informed policy decisions, and supporting cross-departmental initiatives.

Contact this candidate