Highlights:

Skills:Python, SQL, Machine Learning, Relational Databases, Natural Language Processing, Deep Learning, Neural Networks, AB Testing, Predictive Modeling, Data Analysis, Apache Spark, R, MATLAB, Tableau, PostgreSQL, MySQL, PyTorch, Regression, Classification, Clustering, Random Forests, Support Vector Machines, Data Mining, Reinforcement Learning, Scikit-learn, Keras, NLTK, Git, AWS, Google Cloud Platform, D3.js, BERT, LSTM, Transformers, RNN, NLP, Data Visualization, Excel

Data Scientist 12/2020 - current
Social Impact Analytics Institute, Seattle, Massachusetts United States
Responsible for building a Python pipeline to process and analyze unstructured data related to school violence • Developed a semi-supervised clustering-based model to automate document tagging, saving ~ 150 work hours • Extracting useful features from long-text documents using state-of-the-art Natural Language Processing techniques • Cleaning and integrating messy demographic and violence data sources to set the team up for exploratory analysis
Working Remotely--
Data Scientist 09/2016 - 06/2018
Mu Sigma Inc., , United States
Responsible for targeting and analyzing weekly campaigns for ~ 10M customers of Australia’s largest loyalty program • Developed customer segmentation models and A/B tests, increasing engagement KPIs by over 30% across partners • Automated reports on Python and refactored SQL code, reducing errors by 25% and saving 40 work hours weekly • Integrated better hyper-parameter search for machine learning models, boosting performance by 15% on average
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University of Massachusetts at Amherst 09/2018 - 05/2020
Amherst, Massachusetts, United States
Degree: Master's Degree
Major:Computer Science
Minor:Data Science
GPA: 3.8/4.0 ; Concentration in data science; Courses - Machine Learning, Neural Networks, Applied Statistics, Algorithms for Data Science, Deep Learning for Natural Language Processing, Data Visualization and Exploration, Reinforcement Learning