Daniel Estevan Mcandrew Email & Phone Number

Berkeley, Ca, Us

Berkeley, Ca, Us

Cambridge, Ma, Us

• Researching and prototyping new anomaly detection algorithms • Implementing production versions of prototypes to run in real-time, processing and classifying billions of web requests daily • Designing new machine learning frameworks and data pipelines that train models to classify behavioral telemetry and detect advanced bot attacks with high precision • Performing data mining and analysis to gain insights for evaluating detection efficacy and improving detection precision and recall• Automating experiments to evaluate potential impacts of proposed algorithmic enhancements

Cambridge, Ma, Us

Using statistics and machine learning to develop and improve algorithms for Akamai's Bot Manager product, which detects and prevents bot attacks at the edge.

Berkeley, Ca, Us

TA for advanced undergraduate and graduate courses: • Data Science 144 / Information 254 : "Data Mining and Analytics"• Statistics 159/259 : "Reproducible and Collaborative Data Science"

Cambridge, Ma, Us

• Mined large high-dimensional web traffic data sets.• Developed effective statistical models for detecting and classifying malicious web traffic.• Performed research to explore extension of Akamai's Bot Manager to handle new types of API requests.

Santa Clara, California, Us

• Wrote and maintained computer vision programs and pipelines for volumetric video and graphics software used to produce content for live television broadcasts.• Ensured site reliability for Intel Sports sites around the globe.• Performed real-time debugging of software issues during live broadcast events.• Created a computer vision app and corresponding GUI for camera calibration, which was used in televised NFL games.• Led development of product version for 2018 US Open Tennis Championships.

Pasadena, Ca, Us

• Wrote Python and shell scripts to run, analyze, and visualize simulations modelling the physical and chemical structure of objects related to the formation of extrasolar planetary systems. • Processed telescope data to create publishable images and compare observations with simulations.

Pasadena, Ca, Us

TA for intro astrophysics class titled “The Evolving Universe”.

Pasadena, Ca, Us

• Used unsupervised learning techniques to characterize galaxy distribution in color space to help efficiently estimate galaxy distances for future cosmological missions.

Pasadena, California, Us

• Used modern Fortran to simulate the evolution of the intergalactic medium's temperature and ionization state by modeling atomic and radiative physics.• Contributed code to galaxy evolution software, Galacticus.• Successfully modeled the Reionization of the Universe to test proposed dark matter particles.

Bs, Astrophysics With Computer Science Minor

Master Of Information Management And Systems, Data Science And Applied Machine Learning