Aaron Kimble Email & Phone Number

Boulder, Co, Us

Gerlingen-Schillerhöhe, Baden-Wuerttemberg, De

Functional Testing for Perception and Sensor FusionTogether with our project partner, Daimler we are developing a system solution for driverless automobiles within a development cooperation for “Urban Automated Mobility”. We are developing the algorithms for fully automated self-driving cars in urban environments. We are bringing a system into series production that will revolutionize the inner-city traffic of the future.• Shaping the future: helping to bring a fully automated self-driving car onto the road by developing big data solutions for recording, storage, analysis, indexing and retrieval of test data recorded by autonomous vehicles• Developing the autonomous system in collaboration with an international team from different departments around the world • Data driven project part of an agile software development team• Design, build and launch scalable big data pipelines for driving analytics• Implement reliable data pipelines to enable efficient analysis of data from test vehicles• Experience with Hadoop ecosystem and Spark. Understanding of distributed processing principles and frameworks• Test Evaluation Scripts to assess Perception functions based on sensor data (Camera, LiDAR, Radar, Ultrasonic, and Microphone)• Algorithm development of performance metrics (KPI‘s) for each component under test• Validation and verification of software components on functional level• Functional shaping of the given algorithms by providing expert feedback• Facilitate technical discussions / negotiations with other teams• Cooperation with development partners and project management• Preparation and maintenance of project documents according to joint cooperation• R&D for improvement of application processes and optimized performance• Able to work independently, but also effectively as part of an agile team, and through collaboration of pair programming • Tackle challenging problems and able to solve them

Boulder, Colorado, Us

DATA SCIENCE FUNDAMENTALS: PYTHON & STATISTICSPython & Software Engineering:• Object-oriented Programming • SQLStatistics:• Probability • Sampling and Estimation • Hypothesis Testing • Bayesian Methods • Statistical Inference • A/B TestingDATA MUNGING• Ingestion and Cleaning • Exploratory Data Analysis • Feature Engineering • Constructing PipelinesMACHINE LEARNINGRegression:• Linear Regression • Cross-Validation • Regularization • Logistic Regression • Gradient Descent and OptimizationSupervised Learning:• Decision Trees • k-Nearest Neighbors • Random Forests • Support Vector Machines • BoostingUnsupervised Learning:• k-Means Clustering • Hierarchical Clustering • Dimensionality ReductionNATURAL LANGUAGE PROCESSING• Web Scraping • MongoDB • Text Classification • NLTK • TF-IDF • Naive Bayes • Recommender SystemsDATA VISUALIZATION• Communicating Stories • Interactive Visualizations (D3.js) • Graph TheoryNEURAL NETWORKS• Multilayer Perceptron (MLP) • Convolutional Neural Networks (CNN) • Recurrent Neural Networks (RNN)BIG DATA / DATA ENGINEERING:• Amazon Web Services (AWS) • MapReduce • SparkREAL-WORLD CASE STUDIES• Churn Prediction • Fraud Detection • Recommender Systems • Data Products (Flask)

Aerial imagery project creation, orientation and triangulation, terrain extraction, orthophoto production, and editing. High-volume photogrammetry and production mapping to process large quantities of raw spatial information into an actionable format.• Handled high-resolution imagery (exceeding 1-inch resolution) from many sensor formats• Achieved high-accuracy specs according to ASPRS class standards• Performed Aerial Triangulation – interior orientation, determination of tie points, and final block adjustment analysis for orientation parameters• Autocorrelated DEMs from aerial imagery using a feature-based matching algorithm• Edited 3D point clouds for LiDAR Classification• Developed efficiency process for increased control of strategic orthophoto mosaics• Assisted clients in technical support and requests• Provided feedback and technical specifications for RFP’s and vendor requirements

New York, Ny, Us

Conducted all phases of workflow within ADS pushbroom technology to create and edit aerial orthophoto mosaics. Vital part of a well-experienced, high-capacity production team for acquisition and delivery of exceptional mapping projects.• Downloaded Raw Imagery for visualization, analysis, and validity of imagery• Post-Processed Airborne GPS/IMU (GNSS) Data for image georeferencing• Administered Aerial Triangulation for a precise solution to further improve direct georeferencing• Executed DEM Correlation/Edits to produce an accurate bare-earth surface for orthorectification• Applied Gradient Corrections for radiometric balance across a single image and whole mosaic• Surveyed photo-identifiable Ground Control Points for increased accuracy and precision• Supervised Historical Film Scanning and Georeferencing as part of 5-year IDIQ contract with BLM• Key role in processing/producing all phases of imagery as part of Prime Contractor for NAIP

Tempe, Az, Us

Lead role in production for all phases necessary to generate digital aerial imagery into orthorectified and mosaic products. Interfaced with production staff, project managers, and directors in weekly meetings to discuss project status, goals, efficiencies, and concerns. Provided leadership and project planning expertise to the organization.• Managed all of the processes required to produce accurate, high resolution aerial imagery including aerial triangulation, DEM manipulation, orthorectification, color balancing, seamline generation, and mosaic tiling• Organized large scale projects that involved up to tens of thousands of images per market• Developed and implemented a QA/QC image analyzing process to vastly improve efficiency and effectiveness• Performed custom image processing including reprojection, compression, and file conversion• Wrote procedures, methods, workflows, and standard operating instructions• Composed flight plans containing flight lines and waypoints for area of interest coverage• Operated a high-precision photogrammetric aerial film scanner to produce digital images

Analyzed digital imagery and identified potential problems in the processing of data. Directed and maintained the flow of data through the production process to provide recipients with timely delivery of accurately processed data. Resolved issues concerning of data integrity. Provided quality control of data throughout completion of the task.

Data Science Immersive

Nanodegree Program, Intro To Self-Driving Cars

Bachelor Of Science - Bs, Geographic Information Systems & Spatial Analysis