Rebekkah Ismakov Email & Phone Number

Chicago, IL, US

Amsterdam, North Holland, NL

• Now available in the App Store: https://apps.apple.com/us/app/aisthetic/id6458485247
• Built an iOS app from scratch using Flutter, Dart, and Xcode
• Hired a contract designer, worked with an attorney on the patent, and deployed to the App StoreAisthetic is a wardrobe optimization app that allows users to streamline their outfit decisions, reducing decision fatigue.

Mountain View, CA, US

• Google Health is committed to helping everyone live more life every day.
• Designed and implemented a human eval labeling task for structured and unstructured medications data in order to extract additional high-quality medications information (i.e. dose, rate, route, etc.)
• Built a self-service tool for stakeholders to quickly build a panel of patients using a predefined set of clinical and administration attributes – this helped simplify and promote consistency when finding patient.
• Supported the Medications summarization project as an embedded analyst

Oakland, CA, US

• Carbon Health is aiming to make healthcare accessible to all.
• Developed COVID-19 Risk Assessment Simulation and Web App (Python and Streamlit) that was used by CSMs for policy planning services for enterprise.
• Ran statistical analysis on clinical data to research COVID-19 testing swab type reliability and extract information on symptoms, vitals, demographics, etc.
• Created metrics dashboard reports (utilizing SQL and Periscope tools) for both long term use and ad-hoc needs for product, clinic ops, and medical teams

San Francisco, California, US

• Afresh is reinventing the food supply chain process to reduce food waste and costs.
• Helped launch new customer by developing pipeline to ingest and fully integrate their data with our system — including cleaning, processing, transforming and investigating their data
• Developed and implemented algorithm to match same items together that are tracked under different item IDs, resulting in a 6.4% increase in the number of items by total sales that we predict on (~$5.3million in sales.
• Ran ad-hoc analysis and investigated data to help improve forecasting and recommendations

San Francisco, California, US

• Radius Intelligence seeks to power data intelligence across all B2B applications, channels, and users.
• Developed and defined productionized research and prototype models in Apache Spark and Python to automate data processing and analysis
• Replaced rules-based matching system with machine learning algorithm improving the performance from 82% to 96% precision rate – while also refactoring code to make potential future updates easier to implement
• Refined phone validation model to make it more scalable – now able to run 42 customers in the time it took to run 1 customer, while also improving accuracy metrics
• Helped start up Radius Tech Blog by writing first article for it (https://medium.com/radius-engineering/demystifying-data-science-why-profanity-isnt-always-profane-520434d4c503)

Boulder, Colorado, US

• Intensive data science program covering topics in: statistical analysis, supervised and unsupervised machine learning, data pipelining, data visualization, working with data at scale, etc.
• Collaborated on case studies involving detecting fraud, predicting churn rates, and implementing recommenders
• For my Capstone project created and implemented a gender prediction app from the stylometry of text by: - Web scraping, cleaning, and structuring data gathered from multiple media site sources - Analyzing data to.

Haifa, IL

• Working with Dori Derdikman, aiming to understand neuronal basis for spatial representation in the brain
• Methods used include electrophysiological recordings, chemical-genetic approaches, immunohistochemisty/histology
• Utilizing MATLAB for computational and statistical analysis of data set

Tel Aviv, IL

• Worked under Ehud Gazit on various nanotechnology research projects
• Synthesized protein nanospheres for further research on effectiveness of use in drug delivery systems
• Improved procedure for formation of peptide nanotubes with wire casting
• Operated Scanning Electron Microscope (SEM) for observation of nanoparticles

La Jolla, CA, US

• Assisted Dr. Jaime A. Pineda on research project focused on mirror neuron system (MNS) and its connection to autism spectrum disorders (ASD)
• Trained patients with neurofeedback, technique that allows individuals to control their own brain activity through help of EEG and visual feedback
• Reviewed and critiqued scientific journal articles before publication

La Jolla, CA, US

• Worked with Dr. Doug Nitz on research program aimed at determining neural basis for spatial cognition, decision-making, and episodic memory
• Examined multiple hippocampal single-unit recordings made in freely behaving lab rats

Master'S Degree, Medicine - Neuroscience

Bachelor Of Science (B.S.), Cognitive Science/Neuroscience, Middle East Studies Minor, Study Of Religion Minor