ROBSON CORDEIRO
Data Scientist
510-519-0845 robsonc@andrew.cmu.edu linkedin.com/in/rlfcordeiro github.com/robsoncordeiro/robson-portfolio Pittsburgh, PA Green Card holder – NO visa sponsorship required
SUMMARY
High-performing Data Scientist with a Ph.D. degree in Computer Science and experience in both industry and academia. Expert in Database SQL, fraud detection, outlier detection, classification, and clustering.
PROFESSIONAL EXPERIENCE
Innovation Consultant Pittsburgh, PA
PNC Bank 2024 - Present
Created a fraud detection tool that can increase income considerably
Identified features that largely improved the percentage of fraud detected by a model
Project Scientist Pittsburgh, PA
Carnegie Mellon University 2024 - Present
Found 2 unusual behaviors in financial data that were previously unknown to domain experts, catching hundreds of fraudulent transactions that would go otherwise unnoticed
Created a tool to visually inspect unusual behaviors in financial data, which allowed domain experts to deem as fraudulent or suspicious 2 behaviors identified previously
Data Science Researcher and Professor Brazil
Universidade de Sao Paulo - USP 2013 - 2023
USP is the premier university in Latin America
Created over 20 innovative machine learning tools. It includes software for multimodal data classification, visualization, fraud and anomaly detection, and clustering applied to finance, ecommerce, cybersecurity, and social networks
They all outperform the best competitors in efficiency or effectiveness by being up to 4 orders of magnitude faster or up to 50% more accurate, as demonstrated through extensive experimental evaluation and verified by independent peer reviewers
Taught 33 courses on SQL-based modeling, querying, and manipulation of databases and data warehouses, software engineering, machine learning, algorithms, data structures, and object-oriented programming to graduate and undergraduate students
Mentored 11 Ph.D. or M.Sc. graduate students with 100% success rate
ACHIEVEMENTS
Created 20+ Machine Learning Tools
It includes fraud detectors for financial data, and surveillance software used in practice for U.S. national security
TECHNICAL SKILLS
Published 40+ articles in top venues
40+ articles published in world-class data science int. conferences and journals, like ACM's KDD and CIKM, IEEE's ICDM, ICDE and TKDE, SIAM SDM, and ECML / PKDD
Best CS Dissertation Award
Won first place out of all Computer Science Ph.D. Works concluded over the year in Brazil, as evaluated by the Brazilian Computer Society
General: Machine Learning , Artificial Intelligence, Data Mining, Software Engineering, Databases, Cloud Computing
Languages/Tools: Python, Java, C++, SQL, Cypher, Git
Machine Learning, Stats and Experimentation:
Classification (XGBoost, Random Forest, AutoGluon), Clustering (K-means, DBSCAN, EM), Anomaly detection (iForest, KNNOutlier, LOF), Principal Component Analysis, Time series forecasting (ARIMA), Embedding (t-SNE, UMAP), Visualization (Charts, Histograms, Heat maps, Box plots, Word clouds, Critical difference diagrams), Hypothesis testing, Covariance and correlation modeling
Libraries/Frameworks:
scikit-learn, MLlib, SciPy, Spark, Pandas, Oracle, Neo4j, NetworkX, Cytoscape.js, Streamlit, Matplotlib, seaborn, NumPy, MATLAB
EDUCATION
Post-Doctorate, Computer Science Brazil
Universidade de Sao Paulo - USP
Ph.D., Computer Science Brazil
Universidade de Sao Paulo - USP
M.Sc., Computer Science Brazil
Universidade Federal do Rio Grande do Sul - UFRGS
Bachelor of Science, Computer Science Brazil
Universidade do Oeste Paulista - UNOESTE