Data Scientist

Max

Boonjindasup

Los Angeles, CA 818-***-****

*********@*****.*** linkedin.com/in/max-boonjindasup ㅡ

Skills Languages: Python, SQL, R, MATLAB

Data Wrangling: Pandas, NumPy, Scikit-Learn, EDA, Web Scraping Data Visualization: Matplotlib, Seaborn, Tableau, Excel, PowerPoint Machine Learning: Hypothesis Testing, Regression, Classification, A/B Testing, Neural Networks, Natural Language Processing ㅡ

Projects Heart Disease Predictor

■ Performed exploratory data analysis on ~900 patient samples through NumPy, Pandas, and Matplotlib to identify patterns, handle missing and categorical data, and transform datasets.

■ Trained 5 ML models (kNN, NN, RF, DT, and SVM) using cross validation and scikit-learn to classify the presence and absence of heart disease and evaluated each model’s cost and accuracy. Airbnb New York City Analysis

■ Analyzed over 50,000 Airbnb entries using NumPy and Pandas to identify the most popular bookings in the 5 boroughs of New York City.

■ Discovered that Manhattan makes ~49% of the revenue and graphed comparison models using Matplotlib and Seaborn. ㅡ

Experience Manager, Beverly Hills Arthritis Associates Nov 2021 - Nov 2022, Beverly Hills

■ Managed over 120 of the physician’s med-legal cases by reviewing attorney letters, serving as the liaison between parties, and submitting reports with medical evaluations for worker’s compensation.

■ Documented and organized patient data into the Epic electronic health record system (CS-Link) and fulfilled phlebotomy duties. Associate Scientist, Amgen

Jul 2019 - Jan 2021, Thousand Oaks

■ Developed an end-to-end system that automates Amgen’s workflow via data capture, analysis, and reporting for numerous projects, culminating in a company-wide presentation.

■ Led multiple method development efforts that progressed 9 drugs towards FDA-approval and market release.

Research Associate II, Cedars-Sinai Medical Center Mar 2021 - Oct 2021, Los Angeles

■ Created and managed 3 Excel templates to automate data calculation for efficient and accurate experimentation, reducing workloads and transcription errors.

■ Researched the interplay between extracellular vesicles, macrophages, and T-cells in muscle regeneration.

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Publications

1. Stephanie Nelli, Aayushi Malpani, Max Boonjindasup, John T Serences, Individual Alpha Frequency Determines the Impact of Bottom-Up Drive on Visual Processing, Cerebral Cortex Communications, Volume 2, Issue 2, 2021, tgab032,

https://doi.org/10.1093/texcom/tgab032

2. Stephanie Nelli, Max Boonjindasup, Aayushi Malpani, John Serences; Alpha entrainment of posterior visual cortex impacts visual detection. Journal of Vision 2017;17(10):976.

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Education

Bachelor of Science, University of California, San Diego Sep 2014 - Jun 2018, San Diego

Cognitive Science (Machine Learning/Neural Computation) Biochemistry and Cell Biology

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