Brillia Benny

About Brillia Benny

I\'m Brillia Benny, Data Scientist and MS Data Science graduate from Indiana University Bloomington. My educational journey blends a solid foundation in data science with hands-on expertise in machine learning, experimentation, causal inference and statistical methods through my work experience at Jabil and eBay. What excites me more is leveraging these skillsets to build strategies backed by data, a core part of my current role at AmEx.Rooted in a background in Physics, my coursework spans wide range of data science domains presenting a comprehensive skill set. I am not only a data scientist but also possess the analytical, mathematical, and problem-solving expertise of a physics graduate. My academic experience includes rigorous coursework in advanced mathematics, probability, statistical inference, and multivariate statistics, equipping me with the quantitative skills necessary for complex data analysis and modeling.Beyond the technical realm, I’m known for my excellent communication and collaboration skills. I received multiple awards during school for communication and leadership, something I bring to every project I work on. Managers at Jabil have commended for my strong communication and proactive mindset, especially in how I collaborate and contribute positively to team dynamics.Eager to contribute to innovative projects, I\'m a natural in fast-paced, dynamic settings. Let\'s connect and explore exciting possibilities!Technical Skills Languages: Python, R, SQL Data Science & Analytics: Data Mining, A/B Testing, Causal Inference, DiD, Hypothesis Testing, PSM, Regression, Marketing Mix Modeling, Bayesian Inference, Time Series Analysis, Multivariate Statistics, Business Intelligence Big Data & Cloud: AWS, Dataiku, SQL, PostgreSQL, PySpark, ETL Pipelines Data Visualization & BI: Tableau, Power BI Machine Learning & AI: Supervised & Unsupervised Learning, SVM, XGBoost, Random Forest, Gradient Boosting, Model Optimization, Predictive Analytics, Neural Networks Deep Learning: CNNs, Vision Transformers, ResNet, DenseNet, EfficientNet, RNNs, LSTMs, Computer Vision Libraries & Tools: TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, ggplot, tidyverse, plotly, dplyr, Jupyter Notebook, R-Studio, GitHub, VS Code, Latex, MS OfficeSoft Skills & Other Expertise Problem-Solving | Communication | Team Collaboration | Project Management | Critical Thinking | Data Storytelling | Leadership & Coordination

Experience

1. Manager - Data Analytics

   American Express

   Feb 2026 — Present · New York, NY, US

Education

• Indiana University Bloomington

  Master of Science - MS, Data Science

• Mahatma Gandhi University

  Bachelor of Science - BS, Physics : Minor - Statistics, Mathematics

• Pondicherry University

  Master of Science - MS, Physics, Astrophysics Specialization under Indian Institute of Astrophysics.