Matthew O. Bond, Phd Email & Phone Number

Seattle, Washington, Us

● Saved $1.5 Million annually in vendor costs by forecasting traffic with xgboost (Python, Airflow)● Reduced financial planning time by 90% and improved sales forecast accuracy by 2% by creating automated time series forecasts for using pytorch and tensorflow (Python, Airflow, SQL, AWS) ● Won 4 awards for building source-of-truth reporting: data mart with 12 tables (130K queries/year) and 6 dashboards (58K views/year), including the 2 most used finance dashboards (SQL, Tableau) ● Increased annual sales 5% by building a structural equation model (SEM) to optimize marketing and inventory for each stage of digital and store conversion funnel (R, SQL)● Identified and led cross-functional team to add location data to traffic, identity resolution, and transaction pipelines, increasing geographic resolution up to 8M times, saving $100K annually in vendor costs; these data support models that contribute $75M in annual sales● Identified gaps in marketing and event data and built tables to fill the gaps; these data support models that contribute $64M in annual sales (SQL)● Built trust by managing data mart automation/security and API data extraction across 4 database migrations with 5 vendors and 4 teams (finance, engineering, product, analytics)● Optimized queries and pipelines to reduce run time and cost by up to 94% (SQL, Python, Airflow)● Reduced data pipeline failure rate by 40% by setting up data quality alerts (JSON, Pagerduty, SQL)● Audited board and quarterly earnings reports to ensure accuracy and consistent definitions (SQL)● Developed onboarding documentation used 800 times and SQL training used by 100-person team

Seattle, Washington, Us

Seattle, Washington, Us

San Francisco, Ca, Us

● Used machine learning to make staycationLA, a web app that eliminates the health risks, carbon footprint, and cost of international travel by recommending Los Angeles county attractions that are similar to international destinations ● Leveraged NLP pattern detection over large datasets (7 million travel records and 170,000 reviews from a travel review website) scraped and cleaned in Python using selenium and beautiful soup ● Optimized recommender algorithm using topic modeling and cosine similarity in scikit-learn and nltk, improving MAP@10 by 200% and coverage by 600% compared to popularity baseline● Engineered a front-end website with flask, HTML, and Bootstrap on AWS

Alexandria, Va, Us

● Applied statistical modeling and simulation to generate business insights for pharmaceutical development and conservation by assessing how humans choose plants to use as medicine; for example, identified demographic traits associated with knowledge of specific illnesses or plants● Tested 60 hypotheses using exponential random graph modeling, generalized linear mixed models, and structural equation models in R with data from 80,000 plant uses and 305 people● Predicted 34-89% of variation in people’s medicinal plant knowledge based on human social network structure, human demographic data, and plant accessibility using statistical modeling

Alexandria, Va, Us

● Generated insights to optimize conservation by assessing where climate change will have the largest negative impacts on plants used for medicine and weaving● Leveraged pattern detection over large datasets by querying, integrating, and cleaning integrating 10GB of geospatial data and 4,000 GPS points from 15 databases● Developed 7 machine learning algorithms in R to classify and map presence/absence of 2 plant species across Australia and New Zealand; increased model sensitivity and specificity to 77-88%● Forecasted machine learning models using predictive modeling; quantified model uncertainty and mapped change in species survival likelihood due to climate change ranging from 40% increase to 12% decrease

Honolulu, Hi, Us

Taught 9 lecture and laboratory classes in botany and ecology; created curriculum, mentored 150 undergraduate students, and received teaching award nomination

Cambridge, Massachusetts, Us

Developed writing, presenting, and teaching skills to communicate science for the public and mass media

Santa Cruz, Ca, Us

Designed and taught inquiry-based curriculum for high school students to characterize organisms and explain relationships with genetic and morphological data

Ithaca, Ny, Us

● Designed and implemented experiments to test how climate change may affect late blight, a fungal pathogen that threatens potato and tomato crops around the world that causes millions of dollars of damage annually● Tested growth rates for 60 lineages of late blight from three populations at four different temperatures and with two fungicide concentrations ● Collaborated with geneticists to identify genetic regions associated with growth rate and fungicide resistance using genome-wide association to improve pathogen management with continued climate change and increasing fungicide resistance

Ithaca, Ny, Us

Field and lab exploration of plant taxonomy, phytochemistry, & pharmacology. Conducted individual research project, “Biomedical Potential of Native and Invasive Orchids in the Dominican Ethnobotany”.

Ph.D. Student, Botany

Bachelor Of Science (Bs), Plant Science

Biology, General