Resume

bio

Data-driven scientist with extensive experience in the biomedical field. Experience integrating workflows and moving assays and technologies through the different stages of development including ideation, proof-of-concept, feasibility and clinical validation in an ISO/FDA regulated environment.

Hacker: 3rd Place winner at the MIT Hacking Medicine: Building for Digital Health 2021

  • Mastery in integrating and analyzing processes and data sets from every step of medical device development from scaling manufacturing to clinical requirements.
  • Experience in statistical analysis and experimental design to prioritize clinically-relevant questions.
  • Experience with Python (Pandas, NumPy, SciPy, SQLAlchemy, Scikit-Learn,..) and with SQL (PostgreSQL, MySQL) and basic knowledge of R.
  • Proficiency with version control GitHub, Command line, CoLab, Jupyter Notebook data manipulation
  • Ability to work across disciplines and between business units.

U.S. and Spanish dual citizen.

technical skills

  • Data Visualization and Dashboarding: Tableau, Matplotlib
  • Programming Languages: SQL, Python (Pandas, Numpy, Matplotlib, Flask, SQLAlchemy, Sklearn), R, VBA, HTML (Bootstrap), JavaScript (D3.js, Leaflet, Highcharts, Plotly), CSS
  • Data Analysis Knowledge Areas: Advanced Microsoft Excel (Pivot Tables, Macros, VBA), API Interactions, Machine Learning, Big Data Analytics, Databases, Data Manipulation and Aggregation, Statistical Analysis

projects

  • Image Processing-Convolution-Deep Learning Covid-19 code
    Prototype ML tool for the diagnosis of covid-19 from x-ray images: convolutional neural network using Keras, TensorFlow and deep learning in Google Colab.
  • NLP and ML- text classification code Link
    Applied several ML algorithms to choose which one performed better to predict false job posts. Wrote the NLP pipeline (TFIDF and NMF) (Spark and Pandas) to analyze a dataset of >17000 posts (48MB). Performed Feature Selection. Applied and optimized ML algorithms, and visualization (Matplotlib). Contributed to the HTML and JavaScript

work experience

  • Consultant: Data Science Research 2019 – present
  • Nova Biomedical 2014 – 2020
    • Principal Scientist / Project Leader (2017 – August 2020)
    • Senior Scientist II, Immunochemistry Group Team Leader (2015 - 2017)
    • Senior Scientist I, Technology Development (2014 – 2015)
  • TUFTS University Molecular Physiology and Pharmacology (Senior Research Fellow)
  • Harvard University Molecular and Integrative Physiology Program (Senior Research Fellow)

pdf version

request a pdf at mpmarinkovic@gmail.com

or print it from my LinkedIn profile LinkedIn/Marina