English | Português

Ana Paula Diniz Marques

Curriculum Vitae

ORCID | Research Gate

Work and Research Experience

Self-Employed

Freelance Data Scientist(May 2024 - Present:)

  • I work as a freelance data scientist for international and national companies. My work involves developing and refining Python-based algorithms, managing datasets for LLMs training, and optimizing automated mathematical reasoning processes from basic concepts to advanced research-level problems. My key skills and activities included:
    • Designing and improving Python-based solutions for AI applications;
    • Managing and structuring datasets to enhance AI learning efficiency and accuracy;
    • Developing and evaluating AI-generated solutions for mathematical and computational challenges across different complexity levels;
    • Leveraging Machine Learning techniques for improving model performance and decision-making processes.

Risk3 Tecnologia em análise de crédito - www.risk3.com.br

Technical Lead Data Scientist (Apr. 2023 - Mar. 2024:)

  • I played a key role in developing mathematical and statistical models for credit and risk analysis, contributing from the company’s early stages to its consolidation in the market. As a partner, I worked at the intersection of business and technology, leading data-driven solutions, optimizing decision-making processes, and enhancing product development. My key responsibilities and achievements included:
    • Contributed to the development of risk and credit analysis models, improving assessment accuracy;
    • Supported cross-functional collaboration between business and technology teams, driving innovation;
    • Enhanced data collection, processing, and exploratory analysis;
    • Collaborated on automating risk assessment processes, optimizing credit committee operations for clients, reducing evaluation time, and enhancing precision;
    • Delivered technical training for internal teams and clients, improving data literacy and product adoption;
    • Worked directly with Brazil’s largest energy trading and distribution companies, as well as a leading auto parts distributor, providing data solutions tailored to industry needs for risk and credit analysis.

Mid-level Data Scientist (Dec. 2021 - Apr. 2023:)

  • I took on expanded responsibilities, bridging business and technology teams while ensuring high-quality deliverables for key clients. My key responsibilities included:
    • Acting as the interface between business and technology teams;
    • Conducting training sessions on technology and data tools for internal teams and clients;
    • Overseeing processes and product deliveries, providing client and internal support;
    • Delivering reports and presentations to clients;
    • Supporting the development, quality control, and release of system updates;
    • Contribute to the company’s innovation and research, assisting in strategic decision-making through mathematical modeling, analysis, and data processing. I was responsible for supporting two of our largest clients, one being Brazil’s leading energy trader and the other a major auto parts distributor. I also supported other key players in the sector, including a major oil company and the largest energy distributors.

Data Scientist (Apr. 2021 - Dec. 2021:)

  • Coordinating the team of analysts and driving improvements in data processes and credit risk analysis. My key responsibilities included:
    • Leading and supporting the team in data acquisition from public and third-party sources, ensuring quality control;
    • Managing data collection processes;
    • Supporting the design, development, and deployment of system updates;
    • Acting as a liaison between business and technology teams;
    • Conducting training sessions on the use of data and technology tools;
    • Developing models and studies to enhance credit analysis, quality control, and system improvements. By coordinating credit analysts, we successfully supported the credit committee of one of our largest clients, streamlining the process and achieving greater efficiency. Our work in process automation resulted in reduced analysis turnaround times. We received positive feedback from clients about our organization and our results. I received an offer to become a partner.

Data Analyst (Sep. 2020 - Apr. 2021:)

  • I worked on the development of credit and risk analysis solutions. My responsibilities included:
    • Collaborating with the team to understand project and product requirements;
    • Data acquisition and quality control, consuming datasets from APIs, ETL, databases or web scraping processes;
    • Performing data quality control and analysis;
    • Assisting in system development, quality control, and release of updates;
    • Designing mathematical methods, developing models and algorithms for credit analysis and credit risk assessment;
    • Documenting methodologies, processes, and models through reports.

Venidera Research & Development - www.venidera.com

Researcher (Jul. 2020 - Mar. 2024:)

  • I started as a researcher on a project to develop a COVID-19 contact notification app. I conducted project planning and identified reliable government and public data sources. I analyzed geolocation data to create interactive risk maps, estimating exposure risk based on location, symptom severity, and crowd density. However, the project was discontinued.

Following my contributions to the project, I was reassigned to a credit risk analysis initiative for the energy sector, which later led to the founding of Risk3, a startup specializing in credit and risk analysis. I played a key role in developing the entire system (software and web app) and building mathematical and statistical models for counterpart risk assessment.

In parallel, I worked on R&D projects, contributed to product development, and provided technical support. I bridged the gap between technical and non-technical teams by explaining the complexities of software and analytical models to clients and stakeholders.

(UNICAMP) Universidade Estadual de Campinas

FEEC - Faculdade de Engenharia Elétrica e de Computação

Research Assistant (Ago. 2015 - Jun. 2020:)

  • I worked on mathematical modeling, pattern recognition, optimization, and simulation, focusing on the spread of Huanglongbing (HLB), a devastating citrus disease with no cure. My research involved studying reaction-diffusion systems to analyze dispersion patterns and developing an Individual-Based Model (IBM) to simulate the spatial spread of psyllid vectors. I investigated how inoculum dispersion impacts crop yield, considering disease severity and plant age.

As part of this work, I secured international funding for a research collaboration at TU Dresden, Germany. I also presented my findings at EncBioMat – 3rd Biomathematics Meeting (UNICAMP, IMECC) with the talk “Análise do padrão de dispersão da doença dos citros (HLB) e de seu vetor.”

In 2020, I attended the School on Community Ecology: From Patterns to Principles at ICTP – UNESP São Paulo, where I explored advanced topics in ecological dynamics and mathematical tools for macroecological patterns. I delivered the talk “Vector-borne diseases: A mathematical and computational perspective.”

TUD (Technische Universität Dresden)

Institute of Forest Growth and Forest Computer Sciences | Chair of Forest Biometrics and Forest System Analysis

Guest Scientist (Mar. 2017 - Jan. 2018:)

  • Participated in an international research collaboration at TU Dresden, Germany, funded by the European program EBW+. This experience significantly enhanced my autonomy and professional skills, as well as providing interaction and understanding of different cultures, including my own. During this period, I learned German (A2 level) and expanded my technical expertise in mathematical modeling and spatial analysis. My work focused on:
    • Developing and programming models, as well as conducting and analyzing simulation experiments using Individual-Based Modeling (IBM) / Agent-Based Modeling (ABM), using R and NetLogo.
    • Generating, processing, and analyzing geo-data for integration into IBM/ABM models.
    • Model development, implementation, parameterization, and sensitivity analysis.
    • Handling uncertainties in data, designing simulation experiments, and conducting statistical analyses.
    • Integrating spatial data into models using Geographic Information Systems (GIS), including geo-data processing, visualization, and elementary analyses. My research, “Spatial dispersal patterns of citrus disease (HLB) and its vector,” was accepted for presentation at the ECMTB 2018 Conference in Lisbon, Portugal, in 2018.
      Additionally, I attended the 11th Annual Summer School in Individual/Agent-Based Modeling, where the instructors were Uta Berger (TU Dresden, Germany), Volker Grimm (UFZ, Germany), and Steve Railsback (HSU, USA), renowned experts in the field.
  • Advisor: Professor Dr. Uta Berger

EMBRAPA (Brazilian Agricultural Research Corporation)

Embrapa Agriculture Informatics | Computational Mathematics Laboratory

Scientific Research Intern (Oct. 2011 - Dec. 2012)

  • Conducted mathematical modeling to analyze the spread of Equine Infectious Anemia (EIA), working with systems of ordinary differential equations and simulations. My research was recognized with first place at the 6th Interstitutional Conference on Undergraduate Studies. Under the supervision of my advisor at Embrapa, I authored two undergraduate thesis monographs. Additionally, I had one full paper accepted, along with an extended abstract and a conference abstract published in conference proceedings.
  • Advisor: Dr. Sônia Ternes

Education

  • MSc in Electrical Enginering, University of Campinas, 2015
    • Title: Um modelo de simulação da dinâmica de dispersão do Huanglongbing (HLB) em um pomar de citros. (Text in Portuguese)

      English title: A simulation model for the dispersion of Huanglongbing (HLB) disease in an orchard.

    • Advisor: Professor Dr. Takaaki Ohishi

  • BSc in Applied and Computational Mathematics, University of Campinas, 2012
    • Undergraduate Monographs:
      1. Epidemiologia Matemática da Anemia Infecciosa Equina. (Text in Portuguese)

        Mathematical Epidemiology of the Equine Infectious Anemia. (Text in English)

      2. Revisão do uso de modelos matemáticos para o estudo de doenças causadas por lentivirus com transmissão iatrogênica. (Text in Portuguese)

        English title: Review of mathematical models for the study of diseases caused by a lentivirus with iatrogenic transmission.

    • Advisor: Dr. Sônia Ternes

Awards and Grants

  • EUROPEAN SOCIETY FOR MATHEMATICAL AND THEORETICAL BIOLOGY (ESMTB) TRAVEL SUPPORT – A grant to attend the ECMTB 2018 Conference, July 2018.
  • ERASMUS MUNDUS PROGRAMME - (Euro-Brazilian Windows + Project) A grant to undertake an international collaboration as a guest scientist at the Technische Universität Dresden, March 2017 to January 2018.
  • INTERNATIONAL RESEARCH CONFERENCE ON HLB (IRCHLB) TRAVEL ASSISTANCE – A grant to attend the IRCHLB V, March 2017.
  • FUTURO CIENTISTA - 1st place among presented works at the 6th Interstitutional Undergraduate Studies Conference IARC, Regional APTA, IAC, ITAL and Embrapa - CIIC 2012.

Languages and Skills

Portuguese - Native speaker | English - Advanced (C1) | German - Basic (A2)

Programming

  • Advanced: Python, LaTeX

  • Intermediary: R, Matlab, NetLogo

Junior Enterprise Work

  • Apr. 2010 - Nov. 2010: Chief Financial Officer
    • Núcleo das Empresas Juniores da Unicamp - Núcleo
      (“Junior Enterprises Office of Unicamp”)
  • Dec. 2009 - Nov. 2010: Organizing Committee
    • Feira de Recrutamento Talento da Unicamp - Talento
      (“Career & Internship Fair Talento of Unicamp”)
  • Jul. 2009 - Sep. 2009: Organizing Committee of Interação Empreendedorismo Jovem
    • Núcleo das Empresas Juniores da Unicamp - Núcleo
      (“Junior Enterprises Office of Unicamp”)
  • Nov. 2008 - Nov. 2009: Human Resources Officer
    • Otimização e Modelagem Matemática Júnior - OTMMA Jr.
      (“Junior Optimization and Mathematical Modeling”)

Written Works

Conferences and Schools

Essays

Only in Portuguese

Interests and Hobbies