Maxwell Fisch Email & Phone Number

Greater Seattle Area

Migrated database and processing logic from Microsoft Access to SQL Server for a Chicago-Based health insurance providerBuilt machine learning pilot program for a healthcare technology company• Delivered a propensity and churn model to sales team• Showcased data visualization and model metricsImproved and supported Azure ML pipeline for Seattle-based technology company• Integrated new data sources that added projected annual revenue of $30M• Created analytics for interpreting deep learning modelsOverhauled tax calculations for a Seattle-based online retailer by remodeling the data pipeline and building a Python-based calculation engine.• Delivered accounting software in Python that queries tax data from Redshift and Excel Databases (~5M rows), calculates asset depreciation using distributed processing on AWS, and publishes data to S3.• Designed a web interface that saves hours of user time and offers real-time notifications of tax calculations.• Created a diagnostic logging module in Python/Pandas for in-situ data validation.

San Francisco Bay Area

3-month, 600+ hour data science immersive training program covering core data science skills including data mining and wrangling, machine learning algorithms, SQL, and big data technologies like AWS and Spark.• Deployed a real-time fraud detection Flask web app on AWS with MongoDB using a gradient boosted model.• Designed a model for a ride sharing service using a gradient boosting classifier, maximized profit curve.• Built a movie recommendation system using matrix factorization on Spark.• Implemented a linear regression model to predict heavy equipment auction pricing using sklearn and Pandas.CAPSTONEBuilt a model in Python that identifies record producers from audio data using machine learning.• Predicted record producer identity using a KNN algorithm with 4x improvement over baseline.• Processed raw audio from Spotify API via LibROSA and SciPy, stored featurized audio in MongoDB, reduced dimensionality via PCA with sklearn, created an interactive t-SNE visualization using Plotly.

San Jose, Ca

Determined root cause in failure analysis for customer return hard drives via materials science and data analysis.• Published engineering reports and communicated failures to lab managers, customers, and executives.• Isolated failure sources on flagship product by utilizing materials characterization resulting in 75% reduction in failure.

Santa Barbara, Ca

Designed experiments, processed data, and built apparatus for high-temperature water vapor transport of oxides.• Analyzed data from DSC to construct models of oxide phase diagrams; investigated oxide resistance of next-gen TBCs and presented results at WSG High Temperature Coatings Conference.• Calculated fluid dynamic and chemical ingress models using MATLAB and COMSOL; custom-built experimental rig and demonstrated proof of concept.

Berkeley, Ca

Just in Capes (Available on iTunes!)Managed a team of audio engineers and organized the production of the album

Berkeley, Ca

Qualified failure mechanisms of a MEMS devices• Presented results at a conference• Co-authored three papers.

Dublin, Ca

Conducted a design of experiments for electrolytic super capacitor materials and suggested design improvements.• Optimized super capacitor capacity and reduced leakage through a DOE varying materials selection and capacitor design.

Data Science Immersive Certificate, Data Science

12 weeks of immersive data science coursework, case studies, and projects. • Mastered fundamentals of modeling, machine learning.

Master’S Degree, Materials Science

Activities and Societies: Institute for Scientist and Engineer Educators, School for Scientific ThoughtResearching water vapor-assisted.

Bs, Chemical Engineering And Materials Science

Activities and Societies: Regents and Chancellor's Scholarship, American Institute of Chemical Engineers, Materials Science Engineering.