TOMAS ANGELINI +1 (305) 733-2462 • [email protected] • Linkedin.com/in/tomas-angelini EDUCATION University of Southern California, Viterbi School of Engineering and Marshall School of Business Los Angeles, CA Bachelor of Science in Computer Science and Business Administration (May 2022) GPA: 3.75 Master of Electrical Engineering: Data Science and Engineering (May 2023) Honors: Trustee Scholar (Full Tuition Award), Viterbi Fellow, Dean’s List, Rensselaer Medalist TECHNICAL SKILLS Programming Languages: Java, C++, Python, R Packages: Numpy, Pandas, Tensorflow, Tidyverse, Scikit-learn, Matplotlib, Seaborn Statistics/Machine Learning: Exploratory Data Analysis, Linear/Logistic Regression, Computer Vision, Reinforcement Learning, Ensemble Methods Languages: Fluent in English, Spanish, Portuguese RESEARCH & PUBLICATIONS Using Computer Vision to Improve Cancer Diagnosis of Renal Cancer Los Angeles, CA Co-Author September 2018 – April 2020 ● Designed CNNs to classify CT scans of kidney tumors as benign or malignant ● Co-Authored “Deep learning based classification of solid lipid-poor contrast enhancing renal masses using contrast enhanced CT”, British Journal of Radiology, May 2020 LEADERSHIP & INVOLVEMENT Center for Artificial Intelligence in Society ++ Los Angeles, CA Club Member August 2018 – Present Predictive Modeling of Variable Renewable Energy (VRE) Generation ● Performed exploratory data analysis on VRE generation data and associated costs due to volatility ● Developing Recurrent Neural Network models for predicting VRE effects on time-series data Ensemble Models and Classification of Genomic Sequences ● Created parser for genomic sequence files from the Sequence Read Archive in Python ● Created pipeline to parse k-mer counts of genomic sequences and train ML ensemble models ● Launched “gsec” library to pip for use in lab and research environments with missing biomarkers Recurrent Neural Networks for Predicting Time-Series Stock Prices ● Compiled time-series stock price data and performed data wrangling in Python ● Worked with a team to develop a Recurrent neural network model based on compiled stock data ● Designed and tested architectures of Policy Gradient algorithms using LSTMs Programming Club São Paulo, Brazil Founder and Leader August 2016 – May 2018 ● Founded a club to teach high school students how to program in C++ and Python ● Led weekly meetings to teach over twenty students with lectures and hands-on activities EXPERIENCE Hepius São Paulo, Brazil Co-Founder, Data Scientist June 2020 – Present ● Began B2B business for group purchases of medical supplies ● Performed Exploratory data analysis on clinics’ consumption trends to find relevant products PepsiCo São Paulo, Brazil Finance Assistant June 2019 – July 2019 ● Interviewed and collaborated with Finance directors to solve issues in current budget programs ● Developed Smart Spending (cost reduction) strategy for 2020 business plan and presented to CFO Marroc Clothing Los Angeles, CA Co-Founder and CEO June 2019 – Present ● Co-founded fashion label and direct marketing and finance strategy for the brand
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