• Directed a multidisciplinary team of 12 professionals while collaborating with the Product, Science, Sales, and Engineering groups to define, coordinate, and execute new client projects across the mining vertical, resulting in cultivating the company’s fastest-growing business lines at a 90% YOY growth with a revenue of ~$8M• Analyzed and identified market trends for new product developments while heading the vertical strategy to target clients, driving organizational expansion• Actively interfaced with executive and client teams to determine and devise new product development opportunities for 2022, influencing new growth across the company• Performed and promoted 2 trials for educating mining companies on stored carbon in forested areas near mine sites and showcasing restoration progress, generating leads for further development and deployment• Engineered the ‘Marigold’ GUI in collaboration with division leadership to provide a machine learning solution for exploration scientists, achieving the 1st deal of $400K within 2 weeks of product launch and acquiring 3 additional major clients in less than 1 year

• Founded and drove the internal startup of the mining group, leading the technical sales of the headline product, generating 1/3 of the company’s commercial revenue since 2018• Hired a team of subject matter experts, including multiple geophysicists and 2 remote data scientists, to ensure optimal performance, enabling business sustainability and growth• Integral in generating sales of the headline product to enable data science using a remote sensing toolkit to gain insight into local geology, supporting product advancement while boosting sales revenue• Led efforts for new business development and executed initiatives to build new lines of business, leading to an acceleration in business growth• Designed and demonstrated prototypes of innovative products to support organizational growth, launching 2 new major products• Spearheaded the sales strategy and exhibited product differentiation for the Global Deformation System InSAR solution to drive lead generation, resulting in closing 2 deals with channel sales partners in 2021• Established as a thought leader to facilitate the organizing committee and deliver presentations at the Minneanalytics FASTCON 2019: Food, Agriculture, Sustainability, and Supply Chain, leading to fostering a local data science network

• Enacted as a client-facing data scientist for the largest agriculture company across the globe, Cargill, to identify client needs and expectations to precisely produce and prototype geospatial data models for measuring crop health, yield, and risk to commodity trading teams, achieving client buy-in to drive product delivery• Developed and deployed the 1st machine learning models, including random forest and CV resnet, using SAR and optical satellite imagery to identify deforestation and tree species, leading to producing ~$2M in annual revenue• Trained clients on the machine learning framework by demonstrating the usage and benefits of the deforestation product, easing client concerns related to prediction efficacy• Envisioned and built out the 1st data science prototype for penetrating the mining industry, gaining buy-in across the company and establishing a foundation for market expansion• Designed and marketed data science software packages to scale machine learning workflows across the Americas, enabling sustained client adoption and influencing the procurement of a 3-year deal with $3.3M in revenue

• Vetted, defined technical proofs-of-concept, and proposed potential projects by demonstrating business value and technical feasibility, leading to new business development opportunities for the internal data science consultancy• Assessed different business lines to pitch the implementation of new analytic tools, supporting performance improvements and productivity increases• Orchestrated the design and implementation of the Center of Excellence training program, resulting in onboarding ~50 R/Python users onto the Hadoop data lake to utilize the Cloudera Data Science Workbench

• Drafted and authored internal publications by leveraging data science techniques to analyze reservoir flow potential in the fastest growing deepwater basin and uncover the valuation of a $70B Shell/BG merger, gaining VP-level buy-in and influencing the future development of a major basin• Digitized and compiled data among disparate sources by designing various visualization dashboards in Spotfire/Tableau to streamline accessibility and interpretation of rock properties, resulting in earning the Special Recognition Award for delivering high value to a $5B commodity supply investment

• Mentored 4 junior graduate students to research different data science modalities by conducting a mixed integer analysis, coordinating a supervised classification, assessing data sample quality, and applying evolutionary game theory to identify solutions for paleontology issues, resulting in gaining recognition in 3 dissertations and co-authoring 1 chapter• Defined a cutting-edge Bayesian algorithm in R, leading to accurately classifying unsupervised species, uncovering solutions for the diversity problem in fossil crinoids, and realizing a novel predictor for the cryptic species complex• Evaluated and created new machine learning and big data methodologies to compile biometrics and climate data, enabling the identification of species

• Retracted data from various sources and conducted a multivariate statistical analysis, including regression and clustering, to demonstrate a correlation between faunal elements, leading to integrating the findings into a $100M investment initiative