Micah Perry Email & Phone Number

Austin, Tx, Us

Austin, Tx, Us

Tysons, Va, Us

(Formerly Clockwork Solutions)+ Developed Deep Learning classification models for millions of aircraft records that feed into predictive analytic models and reliability visualizations for USAF’s new CBM process, reducing total number of records maintenance supervisors need to review+ Built Machine Learning models to predict future maintenance actions across three states for Electricity Co-op, saving $100k’s in operational costs annually for customer+ Refactored quarterly SQL/Python forecasting, monthly reporting processes for military fleet assets, leading to 3-year, $3 Million analytics contract renewal with OEM+ Supported, implemented, and trained 100's of USAF users of subscription-based software based in SQL, Python, and NiFi, used to verify and clean maintenance records while growing user base from 2 to 30 Air Force bases - Earned 4 support contract renewals while acting as developer, customer success manager, and data engineer+ Automated legacy VBA-based data integrity process in Python with AWS Lambda/S3 to review health insurance plan data, saving hundreds of time per review + Created pipelines, developed Machine Learning and Deep Learning algorithms in Python and SQL within proprietary DAG workflow software to add value to Clockwork’s core product

New York, Ny, Us

+ Full-time bootcamp focused on Data Cleansing, Architecture, Machine Learning, and Deep Learning processes under supervision of practicing Data Scientists+ Completed 12 projects in both group and solo settings, and presented findings to panels of classmates, stakeholders, and panels of data professionals+ Immersed myself in the material while surrounded by other driven students eager to learn and push each other to greater understanding+ Capstone Project: DrivenData.org competition, forecasting disease rates from meteorological, clinical data resulting in top 10% solutionWhat it taught me:+ Data Science technologies, methodologies, workflows+ Collaboration with other Data Scientists+ The types of problems that Data Scientists solved day-to-day

+ Developed world-class carbon utilization technologies to cost-effectively convert pollutants into commodity chemicals, turning waste streams into revenue streams+ Solved complex problems, process disruptions at world’s only commercially viable carbon utilization plant+ Created Excel Data Analysis tools to train Engineers, Plant Operators and standardize reporting of plant wide KPIs+ Discovered cyclical outages in flue-gas stack source by analyzing time-series plant sensor data with Python, reducing duration of excursions and saving $100k’s in operating costs+ Presented experimental data to executive teams and cross-functional plant operations teams to direct enterprise-wide technology strategy and process upgrades, increasing product yield and process efficienciesWhat it taught me:+ Working in a fast-paced, start-up environment+ Collaborating, communicating with cross-sectional workforce toward common goals+ Presenting data to affect change within an organization at all organizational levels+ Eclipsing Excel’s data processing capabilities

Austin, Tx, Us

+ Generated more than $1 Million annually in research funding for the University by consulting and testing cutting-edge separations technologies for world leaders in Energy, Power, Commodity Chemicals, and Biotechnology+ Collected experimental data, used data analytics techniques to characterize performance of stake-holders’ technologies relative to other solutions, and summarized comparative results in formal written reports, informing their decision-making+ Collected, analyzed, and summarized data in reports and presentations on 60+ unique projects with more than 20 industrial customers+ Presented academic findings at international professional conferences, recruiting new customers and inspiring collaborative research efforts at universities in Europe and Asia+ Managed professional staff, graduate students and undergraduate students+ Organized group's Environmental Health and Safety program: - designed and implemented safety response plans - wrote standard operating procedures - trained staff and studentsWhat it taught me:+ Demonstrated the power of data and analysis in guiding technology, strategy+ Ignited my passion for data analysis, complex problem solving, and honed my presentation skills

Data Science Immersive

Bs Che, Chemical Engineering