Resume

Summary

Data scientist with an MBA in Business and Technology (Data Science), a solid academic background in Project Management (Six Lean Sigma), Mathematics, and Physics, as well as a bachelor’s degree and experience in Medicine (specialist in Pediatrics).

I am an expert in data mining from various sources, gathering and managing database with SQL queries and RDBM softwares; using advanced statistical analysis to support business or clinical studies; creating machine learning models, like classification and forecasting; and deploying and monitoring the results of those models into production.

At the same time, I have the ability to support the team and the company to create a strong culture of data.

I have experience in cloud computing (AWS), SQL queries, data science programming languages (R and python); in creating and validating machine learning models; in leading data science teams; and in reporting tools (markdown, html5 and Tableau)

I act more as a Machine Learning engineer and a Research Scientist/ Principal Investigator (PI) who focus on applying machine learning, statistical models and cognitive science approaches to structured data to identify, recognize and to predict human behavior for use in human behavior models, social cyber security activity detection and classification, and interpretation of text.

Finally, an innovative MD with a strong leadership manager with 10+ years of experience focused on healthcare strategies, clinical research, project management tasks, and data science projects.

Creative, organized, dedicated and compromised with excellence in all project deliverables targeting at the excellence of the results.

Selected Value Highlights

Programming Languages: R, SQL, Linux, Javascript, Python

Databases: SQL Server, PostgreSQL, My SQL, Maria DB, S3

Cloud computing: AWS certificated

Project management softwares: Trello, Clickup, Monday, Github, Deepnote

Softwares: All MS package, all Google package

Data specialist: cleaning and enriching data bases, machine learning models that can be easily attached to business operations

Methodologies: Lean Six Sigma, Project Manager Process, Data analytics and Business Analysis using data science procedures, Clinical Research performancing standards as well as relevant SOPs, ICH/GCP, and local requirements.

Others: Medicine/Pharma routines, Healthcare Management, Statistical Data Analysis, Good Clinical Practice, Organizational Synergy, Customer & Patient Analysis, Digital Healthcare, Auditing, Market Research & Analysis, Medicine & Pharma Industry, Pediatrics, Emergency, Decision making & risk options

Professional experience

INDEPENDENT CONTRACTOR | Data scientist consultant

June 2020 - Present

I have performed projects to US companies like TS Immigration Law company, Concept Design Luxury Furniture, Makeup Retail America and NordHolidays Real Estate and property Management, creating, managing and implementing specific A.I. products. In the execution of these projects, I develop the following activities:

Develop and maintain predictive models. Investigate data quality, exploring feature selection and model tuning for improved performance. Collect performance data and monitor model assessment. Drive data understanding to ensure the alignment of data science to business goals. Work with the product team to align on data meaning and industry practices and terminology, as well as with the data platform team to ensure the concept and semantic integrity across data layers. Collaborate with the cross functional teams and growth teams to translate business problems into solutions and be able to effectively communicate about the data issues to the business. Research any other data points that the company can utilize for predictions or reporting. Manage Data Governance Framework Research and analyze the effectiveness of the company’s products. Use techniques such as PSM to estimate, understand, and monitor product performance. Research and implement new machine learning methods to improve risk management products, supporting BI and analytics across departments. Provide consultative expertise as needed and self-serve reports, dashboards, and information on predictive models and customer performance. Advanced machine learning strategy and road map planning working across the modeling community. Work closely with the heads of Client Experience, Technology, Operations, Product and the Business lines to identify new or enhanced capabilities that will advance the company’s strategic objectives. Ensure that the company’s production-level models are efficient and meet industry standards and best practices. Advocate for data understanding and data science culture across the enterprise. Inform data analysis best practices across the organization’s teams that are statistically rigorous, and provide an interpretation of findings that were reliable and defensible to the industry. Build and lead a high-performing team of data scientists, helping to enhance their skills, while creating a fun and engaging culture that helps them prosper. Foster career growth and provide thoughtful mentorship to develop employees at varying levels of experience.

Also, I use AWS services related to AI/ML, particularly Amazon EMR, AWS Lambda, Machine Learning, Amazon S3, Amazon EC2 Container Service, etc. Create new databases and manage them using SQL queries and RDBM softwares.

For some of the projects I create web scraping advanced algorithms and bot automation to extract public information. For those Python and R codes were created.

For visualization I use Tableau and Shiny applications, also some html5 or markdown reports.

AITENDENCY | Lead Data Scientist

October 2019 – June 2020

I was responsible for developing and maintaining our client’s business analytical infrastructure providing timely and reliable data for informed decision-making. I applied advanced statistical analysis, data mining, machine learning models and various predictive modeling techniques to provide information, knowledge, coordination, and tools that support the growth and continued success of our clients. At the same, I developed the following activities:

Knowledge of relevant applications, big data solutions, and tools. Developed a key scientific understanding of the various organizational data that collected and reported for all project types. Collaborated with other scientific staff to understand company data analysis needs and devise possible solutions, communicating results and ideas to key decision-makers. Worked with stakeholders throughout the organization to identify opportunities for leveraging company data to drive revenue and exploration of new opportunities. Worked with end-users to understand data analysis requests and to deliver outputs that have been checked for data integrity. Participated in project kickoff meetings to understand data outputs and analyses that will be needed to meet the deliverables required per contract. Developed processes and tools to monitor and analyze model performance and data accuracy. Researched and developed statistical learning models for data analysis (Regression, Classification, Correlation, Time series analysis etc). Implemented new statistical or other mathematical methodologies as needed for specific analysis, binding different mathematical approaches and machine learning algorithms to create unique models. Assessed the effectiveness and accuracy of new data sources and data gathering techniques. Optimized joint development efforts through appropriate database use and project design. Managed projects and met deadlines in a high intensity, fast-paced environment. Worked with software engineers to integrate commonly used analysis. Participated in IT data modeling for new or re-engineered systems.

IBUSINESS HEALTH - REMOTE POSITION | Senior Data Scientist

January 2018 – September 2019

I was responsible for: Understand, support or create the business data strategy. Design and implement data strategies and data flow through our clients companies. Lead, motivate and manage data science junior technical team or IT team. Oversee the collection, storage, management, quality and protection of data. Implement data privacy policies, complying with data protection regulations. Effectively communicate the status, value, and importance of data collection to executive members and staff. Creating data storage and flow in AWS cloud services. Leverage leading analytical tools to generate insights that facilitate key decisions by department Leadership of IBusinessHealth clients. Develop repeatable analytics aimed at the department and Executive Leadership of IBusinessHealth clients that provided insights into the health and performance of the department. Leverage available data to develop preventative and detective controls to ensure timeliness, accuracy, and completeness of business processes of IBusinessHealth clients. Contribute with the IT team to the design and architecture of data models and dashboards used to retain and present key information to the business. Assist with development and execution of highly complex algorithms and statistical predictive models from large sets of data of IBusinessHealth clients. Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes of IBusinessHealth clients. Develop with IT team repeatable ETL processes from source systems to analytics sandbox, ensuring integrity, completeness, and accuracy of data is maintained Perform statistical analysis to quantify the limitations of models. Develop and improve upon metrics that evaluate department performance. Think critically about the business and how the work is performed. Identify opportunities to improve the status quo, inject data into the decision-making process, and support progress with facts Serve as a trusted contact for internal department members or other departments of IBusinessHealth clients. Work with the business to define methodologies that directly address their concerns; present results or deliverables to the business and provide support with confidence. Analyze and reconcile premium revenue and remittance status, accounting for rate changes across all product lines. Review, analyze and create detailed documentation reports to support department processes. Anticipate and solve strategic and high risk business problems with broad impact on the business area by investigating problems, detecting patterns and recommending solutions Communicate new knowledge and insights gained from analysis of big data. Transfer knowledge and concepts to the team that is implementing the actual system Partner with IT and business teams to solve problems, develop new algorithms and models, and identify trends and opportunities. Inform, influence, support, and execute business and product decisions.

CONTRACTS: HEALTHCARE CLINICS (ORTOPEDIA DA BARRA & OMBRO SEM DOR ) - REMOTE POSITION | Data Analyst and Clinical Research Consultant

July 2017 – October 2019

Democratized business data by building effective data models, forecasting and empowering managers to make data driven decisions. Gathered business requirements across the company, develop and execute data tasks, and deliver complement analysis to business users. Responsible for business metric definitions, calculation methodology and ensuring consistent use of KPIs across business areas. Supported in the development of educational documentation for business user training. Maintained and built analytics reporting and managed accessibility across the company. Managed the analytics intake process to solve complex business problems using data analysis. Assisted with formulating and updating departmental policies and procedures with clinical data analysis. Supported healthcare and other business initiatives through data analysis in R and Excel, identification of implementation barriers, and user acceptance testing of new systems. Led problem solving and coordination efforts between various medical and business units. Identified and analyzed user requirements, procedures, and problems to improve existing clinical research processes. Identified ways to enhance performance management and operational reports related to new operations implementation processes. Developed and incorporated organizational best practices into business applications. Assisted in the planning and execution of clinical studies ensuring that deliverables are completed on time and within budget. Created and managed reports that detail the clinical study progress such as subject screening and enrollment, data collection, documentation of adverse events, and payments. Assisted with the development and management of study-related documents and materials such as investigational plans, case report forms, study manuals, monitoring plan, informed consents, websites, recruitment materials and other study related tools.

CARTOGRAFIA VASCULAR - REMOTE POSITION | Data Analyst

June 2017 – February 2019

Refined data analytics tool chain: from obtaining, through cleaning, modelling, visualizing to interpreting the data. Tuned vague problems into tightly-scoped high-impact projects and executing them against a set of success criteria. Created data models in R, using metrics and KPI’s aligned with executives. Due to this I helped reach an improvement of 24% in revenues compared to the baseline. Provided analytical visualizations using ggplot and Tableau. Converted data into insights and actions supporting the decision making of the managers, who cut 10 prospective projects due to poor outcomes or absence of adequate resources. Provided data management and analytical expertise to craft actionable insights for high impact company-wide objectives. Understanded the partners business requirements and improved data flow and business processes. Collaborated with cross-functional partners in product, engineering, operations, finance, and marketing to define and build data-informed business strategy and roadmaps.

Rodrigo Masini