Kim Scott, Phd Email & Phone Number

Charlottesville, Va, Us

Bengaluru, Karnataka, In

Drive the success of data science, ML/AI, and software engineering services and hyperspectral imagery (HSI) products for US Defense, Intelligence, and Civilian agencies.✅ Growth and Product Strategy: Steward and implement Pixxel’s technology roadmap to align product development with US Public Sector market needs, emerging technologies, and agency requirements.✅ Business Development: Lead technical team to support business development and proposal preparation, driving engagement and collaboration to secure new opportunities and enhance competitive positioning.✅ Project and People Management: Manage customer engagement and oversee the planning and execution of technical projects to ensure alignment with client requirements and successful project delivery.|| Key Accomplishments ||✅ Secured Pixxel’s selection as one of eight companies for a multi-vendor award from NASA’s Commercial SmallSat Data Acquisition program by directing the technical proposal writing effort, implementing effective team coordination processes, and ensuring on-time submission and compliance.✅ Achieved impactful industry engagement at the USGIF GEOINT Symposium 2024 by managing a team of eight to develop compelling use cases for our booth exhibit, attracting new customers and business partners.✅ Actively engaged with eight USG agencies, USG research labs, and strategic partners to develop CRADAs and teaming agreements for R&D in HSI assessment and ML/AI applications, resulting in three signed agreements within one year and enhancing collaboration opportunities.✅ Delivered a comprehensive report on Pixxel’s satellites, sensors, and access and collection capabilities to the NRO on time by directing an international team of 12 professionals in space mission planning, operations, and remote sensing science, and ensuring contract requirements were met.

Arlington, Virginia, Us

Defined and executed the strategic roadmap for products and ML/AI services.✅ Strategic Planning: Stewarded the strategic roadmap across all product lines to ensure alignment with business goals while promoting cross-departmental visibility and collaboration.✅ ML/AI Leadership and People Development: Hired, trained, and managed a team of data scientists and ML engineers to develop scalable data science solutions.✅ Technical Product Management: Translated product strategy into technical requirements, coordinated release priorities, and effectively managed agile software teams to drive successful product development.|| Key Accomplishments ||✅ Developed an ML solution and launched the EarthOptics’ C-Mapper product, providing landowners with a high-accuracy, cost-effective carbon stock quantification of their soil and enabling their participation in carbon markets.✅ Successfully deployed automated ML pipelines for the C-Mapper and Nutrient-Mapper solutions, reducing customer delivery timelines by 80% and significantly enhancing operational efficiency.✅ Launched the Nutrient-Mapper product, providing actionable insights on soil nutrient distribution to growers and improving farm management decisions by managing the entire product development lifecycle.✅ Successful onsite demo of a real-time prescription tillage capability which resulted in a contract renewal with the customer, designing and integrating the ML solution in six weeks by optimizing task delegation to best leverage team strengths.✅ Launched the SoilCollector application, streamlining EarthOptics’ operations for soil sample data collection and achieving a 20% reduction in data errors through effective management of the product development lifecycle and software team.✅ Defined and successfully rolled out our new partner program, establishing a high-margin revenue model that resulted in signing up 38 partners during the first two years.

Empowered Earth Alliance is a non-profit organization whose experienced team of volunteers works to empower local leaders with problem-solving skills to design, own, and implement sustainable, resilient, and holistic solutions built on scientific, technical, and business knowledge. https://www.empoweredearthalliance.org/

Charlottesville, Virginia, Us

Established the strategic roadmap for data science and managed agile projects and consulting services.✅ Data Science Leadership: Defined scope for ML research and established agile development processes to manage my team’s work and develop high-impact solutions rapidly.✅ Business Development and Project Management: Assessed technical requirements, created proposals, and managed end-to-end life cycle of projects.✅ People Development: Hired, trained, managed, and mentored data scientists to foster professional growth, enhance team performance, and drive the success of our team’s initiatives.|| Key Accomplishments ||✅ Architected and developed the large-scale deployment of a multi-step computer vision model using Earth Observation data to locate undocumented cement and steel plants.✅ Developed a deep learning model and web application in eight weeks to detect utility-scale solar farms with 85% recall using Earth Observation data and computer vision, boosting interest among investors and customers.✅ Trained a machine learning model to classify crop types with 90% accuracy, enabling the study of changes in planting practices in Zambia due to water shortages.✅ Managed a project to streamline opportunity prioritization for a solar panel provider by using aerial-based imagery and machine learning to classify roof materials, resulting in a 30% reduction in assessment time.✅ Designed and taught a training program that upskilled conservation scientists at The Nature Conservancy in data science and ML/AI methodologies, enhancing their skill sets.✅ Delivered a proof-of-concept prototype of the EarthAI platform in eight weeks by defining product requirements and managing a cross-functional team, resulting in Astraea’s Series A round of financing.✅ Awarded a $420k grant to develop an asset-level database of heavy industries by facilitating technical meetings and defining the scope of work, marking a critical milestone by generating Astraea’s first revenue.

Charlottesville, Virginia, Us

✅ Managed a pilot study to build the computing infrastructure for storing, databasing, and analyzing high-volume physiological data from bedside monitors.✅ Worked with engineers, IT, and doctors to understand the data pipeline, security requirements, and data access needs of end-users.✅ Created a predictive model and application to enable the administration to evaluate the financial impact on profit margin from proposed changes to operations.✅ Used descriptive statistics to advise the Chief of Quality and Performance Improvement on five-year trends relating to how in-house medical practitioners were prescribing opioids and benzodiazepines.

Charlottesville, Va, Us

✅ Managed the development of a data visualization application to help the R&D team at SolidWorks gain new insights into customer behavior.✅ Used k-means clustering on software logs to identify user segments for SolidWorks and built a predictive model with 92% accuracy to categorize new users and inform marketing and product decisions.✅ Developed an R package to streamline the randomization testing process for statistically evaluating a predictive model’s significance.✅ Designed a web application for the University of Virginia School of Law admission office that provided an interactive tool for optimizing offers to students most likely to matriculate.

Charlottesville, Virginia, Us

✅ Modeled the far-infrared spectra of 2,000 galaxies using theory-guided, non-linear least-squares optimization to estimate their star formation rates and dust masses.✅ Developed an end-to-end, human-in-the-loop statistical model to determine the number density of galaxies from radio interferometric data.✅ Developed and tested an algorithm for band-to-band phase calibration of radio interferometric data from the Atacama Large Millimeter/Submillimeter Array.

Philadelphia, Pa, Us

✅ Developed theory-guided, statistical models to estimate the cosmological redshifts of galaxies through low signal-to-noise detections of millimeter-wavelength emission spectra.✅ Modeled the emission line intensities of galaxies using Monte Carlo Markov Chains to determine maximum likelihood values of their gas temperatures and densities.

Amherst, Massachusetts, Us

✅ Developed specialized statistical algorithms to detect thousands of new galaxies from low signal-to-noise millimeter-wavelength imagery taken with the AzTEC camera.✅ Identified multi-wavelength counterparts from catalogs of more than 10,000 galaxies to objects detected at millimeter wavelengths by computing the likelihood of false association using p-value statistics.✅ Used Bayesian methods to derive brightness probability distributions for millimeter-selected galaxies and determined their number density by bootstrap sampling.✅ Key developer of the AzTEC data-processing software; created algorithms for map-making from time-series data, atmosphere removal via principal component analysis, and optimal filtering using Fourier analysis.

Doctor Of Philosophy (Phd), Astronomy

Master Of Science (Ms), Astronomy

Bachelor Of Science (Bs), Physics And Mathematics