Inbal Weiss


Neuroscience Data Scientist Algorithm Developer Entrepreneur
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Projects

Inbal Weiss Photo Passionate Data Scientist with over 3 years of experience in both industry and academia.
My journey started with neuroscience studies, earning a B.Sc. and M.Sc. in Neuroscience with top honors from Bar-Ilan University. This multidisciplinary background honed my research and analytical skills, fostering a deep understanding of mathematics, statistics, programming, and psychology.

As a Co-Founder of a startup and in my role as an Algorithm Developer, I discovered my passion for collaboration and idea exchange. Beyond my strong analytical, research, and self-learning skills, I enjoy working with diverse teams. The startup experience has also nurtured my creative side.

Outside the data realm, I find joy in sports, travel, nature, and culture. As an optimistic individual, I bring positive vibes to every project and collaboration. Let's connect and explore the possibilities!

I Do

Algorithms Research and Development

Python, MATLAB.
TensorFlow, Keras, Scikit-learn, Pandas, Matplotlib, NumPy, SciPy, Seaborn, OpenCV.
SQL, S3, Git.
Familiarity with PyTorch, HuggingFace, Plotly.

Data Science

Data analysis, statistics, visualization, feature selection and engineering, hyper tuning and model evaluation, production readiness.

Teaching

Programming, Statistics, Mathematics, Machine Learning, Deep Learning, Biology, Psychology.

I Like

Nature

Nature Photo Nature Photo

Travelling

Travel Photo Travel Photo

Languages

English, Spanish, Hebrew.

Sport

Gaming



























  1. Experience

    Algorithm Developer @
    Prisma Photonics

    2022-2023

    Trained and optimized machine learning algorithms for multi-class anomaly
    detection, utilizing time-series and
    tabular data.
    Created an image processing framework
    for improving anomaly detection accuracy and developed feature extraction for increasing threat level ranking.
    Developed a tool to assess the quality
    of the algorithmic pipeline and
    implemented unit tests to enhance its reliability.

  2. Co-founder, Technical Lead @
    Gomma (Stealth mode startup)

    2020-2022

    Gomma aimed at addressing medication
    non-adherence with an IoT device.
    I played a pivotal role from concept to prototype.
    Pioneering work in automatic medication identification, using computer vision approaches.
    Was chosen as one of very few starts ups
    to participate in HIT Accelerator.

  3. Data Scientist @
    Keheala

    2019

    Developed prediction model for patient's treatment success based on data
    from healthcare experiments
    conducted in Kenya.
    My work included training various supervised classification models through grid search optimization.
    Handling missing and imbalanced data, unsupervised learning.

  4. STEM Teaching and Mentoring Positions

    2013-2022

    Offered mentorship across academic, bootcamp, and private settings
    for groups and individuals.























  1. Education

    Machine Learning Bootcamp @
    Primrose

    2018-2019

    Intensive elite STEM training led by Weizmann alumni, with a main focus on hands-on proficiency in Python,
    implementing machine learning,
    and deep learning algorithms.

  2. M.Sc, Neuroscience (GPA 91.72) @
    Bar-Ilan University

    2015-2018

    Thesis: "Designing a virtual reality task for spatial learning in humans".
    Laid the foundation for VR system experiments, which led to subsequent studies and resulted two published papers

  3. B.Sc, Neuroscience, MAGNA CUM LUADE (GPA 90.58) @
    Bar-Ilan University

    2012-2015

    Neural Networks, Data Science, Signal Processing, MATLAB, computational neuroscience.