Fernando Martínez-López
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Fernando Martinez-Lopez is a Data Scientist and Machine Learning Engineer from the Dominican Republic with 6.4 years of experience. He is passionate about turning complex problems into innovative solutions and utilizing data to drive data-driven decision making. With 5 years of experience in quantitative analysis and experiment design, Fernando has developed machine learning models for diverse business solutions. He has also designed and created models that help organizations manage risk behavior profiles, reduce tax gaps, and build advanced analytical engines for forecasting and deviations from non-structured information. Fernando has worked in various roles, including Graduate Research and Teaching Assistant, Data Scientist, Data Analyst, Project Analyst, Quality Technician, and Research Assistant.
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Emails and Phone Numbers

+1 809689****
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About

🧑 𝐖𝐇𝐀𝐓 𝐃𝐎 𝐈 𝐃𝐎? I'm a Data Scientist and Machine Learning Engineer from the Dominican Republic, working in multiple machine learning applications and getting the best insights out of 21st Century gold (data). I enjoy turning complex problems into simple, practical, innovative, and impactful solutions. My job is to create end-to-end Machine Learning products alongside performing hands-on data analyses over enormous datasets toward detecting patterns and inducing better data-driven decision making. I have 5+ years of experience applying quantitative analysis, experiment design, and developing machine learning models for diverse business solutions. During this journey, I have had the opportunity to design and create models that are helping organizations manage risk behavior profiles, reduce tax gaps, and build advanced analytical engines for forecasting and detecting deviations from non-structured information.

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Work Experience

Av. Mexico 48, Santo Domingo, DN, 10204, DO

Government Administration

1195
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Fernando Martínez-López's Professional Milestones

  • Data Scientist (2021-09-01~): Developed advanced machine learning models to provide valuable insights for scientific research and decision-making.
  • Data Analyst (2018-09-01~2020-04-01): Analyzing data accurately to support decision-making and enhance data-driven decision-making processes.
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Education

Fordham University Graduate School of Arts and Sciences
Fordham University Graduate School of Arts and Sciences

Data Science

1640995200-1672531200
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