SUMMARY:

• Experimental Research Scientist and Information Technology expert, with 15+ years of solid experience in bringing People, Data and Innovation together.
• Committed to the continuous advancement of existing solutions and the creation, launch and adoption of ground - breaking data driven ecosystems.
• Successfully managed large scale, bleeding edge projects, developing solutions integrating Business-Focused Data Science, Artificial Intelligence, Distributed Systems and High Performance Computing, catering to specific needs of a multitude of end-user communities spanning Finance, Manufacturing, e Commerce, Oil & Gas, Telecommunications, Health, Science, Engineering, Public Sector and others.
• Advanced technical background in Engineering and Information Technology allied with managerial experience and broad strategic perspective to engage and lead the development of complex data driven projects.
• Successfully mentored and engaged multi-domain professionals, leveraging extensive cross disciplinary experience, to synergistically translate advanced concepts and technologies into innovative integrated solutions.
• Machine Learning, Statistics, Modeling, Optimization, Visualization, Semantics, Internet of Things, Forecasting
• R, Python, Data Robot, Interpretative Machine Learning (i.e. Shapley Values), C++, C#, H2O, SAS (Basic Knowledge), MLflow, scikit-learn, Regression, Classification, Time Series Analysis, Semantic Modeling and Inference, Protégé, Survival/Churn Analysis, Random Forests, Gradient Boosting, Genetic Algorithms, Simulated Annealing, Clustering, Graph Analysis, Knowledge Representation, Neural Networks, NLP (Intermediate Experience). Microsoft Cognitive Services, LUIS, Chatbots. Investigated LSTM and other Deep Learning technologies to apply in Feature Learning for IoT data.
• Databricks, Spark (PySpark, SparkR, Sparklyr), Delta Lake, SQL, Map-Reduce, Hadoop, S3, DB2, iRODS, HDF5, OWL, Excel, Alteryx and Tableau (Basic Knowledge)
• Management and Consulting for multiple international Big Data and Advanced Analytics Projects
• DevOps, AGILE
• Test-Driven Development, Design Patterns, Refactoring, Object-Oriented, Domain-Driven Design
• Parallel Data Intensive and High Performance Distributed Computing
• Virtualized Frameworks - Clouds, Azure, AWS, Data Grids, Software Defined Networks

PROFESSIONAL EXPERIENCE:

Confidential

Senior Data Scientist

Responsibilities:

• Developed actionable insights to improve company business funnel performance, from internal operations to customer facing offerings - leveraging and integrating advanced data science at scale with company strategy, massive transactional and customer data portfolio and business know-how, including undocumented tribal knowledge.
• Projects included optimization of operation, marketing campaigns, financial products, customer engagement and field performance management.
• Consulting provided on Fraud Detection, Underwriting and Risk management projects.
• Consideration of integrating Machine Learning business funnel models with LexisNexis ThreatMetrix
• Everyday technologies included Interpretable Machine Learning, Feature Discovery and Engineering, Statistical Inference, Databricks, Spark, Azure, Semantic Ontologies among others.

Confidential

Chief Data Scientist

Responsibilities:

• Developed and Led company’s Business Driven, Strategic Data Science practice.
• Designed and implemented large scale high performance modeling infrastructure, utilizing advanced technologies including AWS, Data Robot, H2O, along with other machine learning, feature engineering, signal process analysis, pattern and change detection, interpretive analytics and semantic solutions.
• Catered to data science customers from diverse domains, including manufacturing and financial sectors, generating added business value from insights, recommendations and prediction models.
• Consulting, Development, Training and Tech Transfer on Cognitive Services, including Chatbots, Language Understanding.

Confidential

Data Science Lead Consultant

Responsibilities:

• Conceptualized the customer-driven deliverables for Confidential pioneer “data science as a service” solution and led the development of associated processes enabling the company to provide state of the art go-to-market offerings in advanced analytics .
• Led building of brand new team consisting of data scientists, visualization and data engineers.
• Co-developed multiple predictive and interpretive models for public services challenges, including:
• Prediction and mitigation of traffic crashes,
• Accounting management,
• Job Market attrition and automation analysis, with recommendations for recruiting and training strategies.
• Advanced analytics techniques include hypotheses building and evaluation, random forests, gradient boosting machines, clustering, ontologies, natural language processing and others.

Confidential

Data Scientist

Responsibilities:

• Provided Customer Segmentation, Risk, Churn, Time Series, Cohort and KPI Insight, Prediction and Analytics advancing Company cross departmental Strategic Marketing Campaigns and Business Investment Decisions over a complex Fintech e-Commerce supply chain and extensive portfolio with 50,000+ merchants worldwide, across more than 200 global markets.
• Extensive hands on Machine Learning, R, SQL, Random Forest, Statistical Learning, Survival Analysis, Salesforce, SOQL applied in support of company activities.
• Investigated Prediction Model , using Machine Learning , to forecast risk of part failures of a fleet of devices transmitting aggregated telemetry. Methodologies considered include Time Series and Event modeling , Classification Systems, Random Forests, Survival Analysis , Gradient Descent and Boosting.
• Responding to a challenge from an IoT (Internet of Things) company, proposed a Machine Learning algorithm to optimize the choice of bus stops locations for a shuttle service transporting thousands of employees between two cities in the Bay Area, California. Approach involved the modification of traditional Euclidean Dissimilarity Space for clustering algorithms including K-Means, PAM (Partition Around Medoids) and Hierarchical Clustering , to account for obstacles - such as elevations and valleys - which impact walking distance distribution between employee addresses and bus stops.
• Calculation of Oil Pumpjack stroke (maximum vertical distance covered by pump horsehead), based on equipment dimensions.
• Big Data Hadoop and Python Map-Reduce development to analyze the behavior of thousands of customer web based transactions in non-structured datasets for Retail Company based in Central Ohio.
• Provided technological expertise in the context of modeling , system identification , time series analysis , knowledge discovery & high performance computing for data analytics to the Ohio State University Data Mining Research Lab
• Completed a Data analytics case study providing risk and opportunity insight for merchant/customer management & recommendations for strategical new Fintech market opportunities for e-Commerce company Confidential .
• Provided advanced information technology recommendations for development of new medical office management business venture in Brazil

Confidential

Information Technology Consultant

Responsibilities:

• Development and Architectural Re-design of Digital Manufacturing Product for the Health Sector
• C#/CLI/C++ development
• CAD/CAM
• Design Patterns, Refactoring, AGILE development
• Quality Verification and Improvement
• Interactive Graphic Interface Development
• Business Impact Consulting

Confidential

Researcher and Engineer

Responsibilities:

• Data Driven, High Performance and Cloud Computing development, operation, technical support and training for academic and commercial customers.
• Design, Management and Consulting for multiple research and development projects.
• Co-Proponent and Co-Chair of Research Data Alliance Engagement Interest Group
• Developed Ontology and linked Metadata for Confidential HPC Digital Libraries with hundreds of subjects including modeling and simulation, mathematics, visualization, computer science and subject domain areas to connect research and education materials from multiple-disciplines.
• Development of automatic and interactive reports for accounting, billing and analysis of new Confidential business models

Confidential

Research & Development Manager

Responsibilities:

• Managed R&D area responsible for advanced big data users, application communities and the advancement of Cyberinfrastructure and e-Science in Brazil and Latin America.
• Led identification of key user communities, their application requirements and integration with new and advanced cyberinfrastructure technologies.
• “Go-To Person” in Brazil for Strategic Big Data Science development initiatives
• Appointed Brazilian articulator for e-Infrastructure