Data Scientist Machine Learning
Resume:
Darin W. Ashley
*****.******@**********.***
www.linkedin.com/in/darinwashley/
*** ********* **, **********, ** 45177
DATA ANALYST DATA SCIENTIST
Multi-disciplined, senior consultant who draws from diversified experience to drive performance improvements and bottom-line effectiveness and efficiency by formulating strategy, communicating vision, empowering cross-functional teams, and managing to measures of success. Expert in operations, logistics and supply data analytics–from category management to strategic contracting and requirements-centric solutions. Creative, flexible, and analytical problem-solver. High-energy manager who fosters true team culture, leads by example, and achieves aggressive business goals through expertise in:
- Full Spectrum Data Scientist - Technical Team Leadership
- PyTorch, Tensor Flow – Keras Machine Learning - Restructure, Change & Implementation
- Tools Development in Python, R, or MATLAB - Maximizing Financial Performance / ROI
- Strategic / Tactical Planning & Execution - Corporate Communication / Customer Relations
- Operations, Logistics Work Flow Optimization - Cross/Multi-functional Collaboration
EXPERIENCE
Up and Out Analytics LLC, Wilmington, OH Consultant, Jan 2022–Present
Works with small to medium size companies, plus start-ups primarily in bio-tech sector. Builds full data pipeline from no data, poor data or incomplete data across full spectrum of standard departments: research / operations / finance / purchasing / supply / logistics. Uses Python to builds API connections into common commercial software, ETL’s into hybrid-centralized PostgreSQL database, provides data integration, data analytics, machine learning, interactive data visualization. Overcomes departmental stovepipes, improves process and promotes proactive decision-making.
Data Engineering to Data Science Consultant
Custom designed multiple scientific machine learning predictive models to predict multi-variable outputs based on many input parameters. Programmed with python/sci-kit learn/tensor flow-keras.
Deployed natural language processing (NLP) techniques to build a custom big data keyword and meta-tagging algorithm in python to facilitate data loss prevention and data categorization for data resilience and accessibility. Added OCR processing to extract text from images for a complete evaluation to identify exfiltration of sensitive documents. System customed developed with python.
Developed a hybrid cloud to on-prem data resiliency system to overcome multiple cloud data fragmentation to on-prem server repositories for backup, COOP, and data warehouse. Used python-requests and other packages to pull unstructured data from Amazon Web Services (AWS) data lake via a cloud API into a PostgreSQL data warehouse.
From Excel to PostgreSQL to PowerBI, led teams to build full stack data pipelines to enable data analytics, dashboards and future applications of machine learning (MLOps).
Cross Departmental Process Improvement
Combined Design Thinking with Management Consulting to align day to digital tasks to greatly improve efficiency and projects to advance overarching company objectives and strategic goals.
Combined technical, human and training skills to self-learn cloud based Benchling electronic notebook software then built custom training modules. Provided live and video-based training to scientists and researchers to improve workflows and data collaboration. Reduced new employee on-boarding time by 50%
Built a custom inventory management system in python to streamline efficiencies, ensure material availability to 100% and auto-calculate replenishment purchases.
Senior Data Scientist, US Air Force Civilian, WPAFB Dayton, OH Full time, Jan 2015–Jan 2022
Delivers sophisticated analyses based on big data collection, processing, modeling, interactive data visualization with Tableau, then briefing findings and recommendations for Air Force Category Management initiatives, establishing practices that leads the way across the entire DoD and Federal Government. Assignments in Air Force Installation Contracting Center. Required active US DOD Secret security clearance.
Analysis Team Process Improvement
Provided expert leadership to a team of 5 data analysts and data scientists, implemented state of the art, best practices for agile methodologies, formal team verification and validation processes of analytic products, and robust documentation to enable continuity of operations.
Networked across organizational boundaries and silos into data engineering organizations to spark data availability and quality improvements into a data warehouse. Added data cleansing, normalization and processing to ensure feasibility of sophisticated data analyses 3-5 years into the future.
Introduced new disciplines of machine learning, discreet event simulation, total cost of ownership and interactive data visualization with Tableau to support category management process improvements across a $7B per year enterprise.
Strategic Analysis Across Operational Contracting
Designed and guided development of a tool, custom coded in python, to facilitate the work of a human to standardize a statement of work. The tool accessed unstructured big data in a data lake, then processed the text data for use in machine learning clustering techniques based on Natural Language Processing (NLP). It delivered contract document standardization where it was previously impossible.
Introduced Total Cost of Ownership modeling to the Operational Contracting enterprise to change the culture from one that only seeks procurement cost optimization, to one that optimizes cost across the full life cycle.
Provided data driven decision making guidance based on applied statistics, neural network modeling, and computer-based algorithms to report performance status and make future predictions. Developed tools and scripts in Python, R, Visual Basic Applications (VBA), SQL and Tableau, applied machine learning and natural language processing. Operated on desktop, Linux based servers, and Apache Spark based servers.
Business Design Executive, Show Low, AZ Full time, Jan 2013–Dec 2014
Integral in the rapid design and operation of three different enterprise start-ups. Specialized in retail & wholesale, sales of technical products and services that sustain energy requirements in off-the-grid, remote sites. Representative for website design and development, search engine optimization, internet and conventional marketing.
Enterprise Design and Implementation
Full spectrum sales efforts to include business to business, business to customer, executive presentations, trade show display, cold and warm calling
Advised clients on web-based applications and desk top methods of tailored business solutions.
Warriorschool, LLC, Tucson, AZ Full time, Oct 2005–Dec 2012
Delivers cutting edge, highly realistic personalized training and education government, military, corporate clients, as well as private citizens achieving several million dollars in revenues from successful contracts over a 9-year period.
Chief Operations Officer
Engineered process and infrastructure for business start-up with a 20-member staff across all day-to-day business and financial functions developing, implementing, and managing business plan with primary focus on operations, logistics, and business development.
Business Optimization
Reduced supervision time from 75% to 5% by training the team, providing personalized mentoring, and instilling individual responsibility, authority and accountability.
Process Improvement
Achieved 100% on-time delivery record of contracted training and education services for seven years through development of three delivery teams, provision of resources, and systematic delivery and disaster control.
Trimmed labor cost 23%+ over seven years by restructuring labor pool with focus on lower priced, higher motivated employees in combination with individual training and development and innovative leadership.
Naval Surface Warfare Center, US Navy Civilian, Crane, IN Full time, Aug 2001–Oct 2005
Provides acquisition engineering, in-service engineering, and technical support for surface sensors, strategic systems, special warfare devices, and electronic warfare/information operations systems. Specializes in total life cycle support for Strategic Missions, Special Missions, and Electronic Warfare Operations. Required active US DOD Secret security clearance
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Small Arms Division
Delivers full life cycle support of weapon systems for special operations units including R&D, procurement, fielding of new systems, and sustainment and maintenance of existing systems.
Acquisition and Sustainment Logistics Manager / Life Cycle Sustainment Manager
Directed five-member staff with $8 million annual sustainment budget and $20 million in procurement funds managing acquisition logistics support for up to three program offices and supply chain and maintenance support for numerous weapon systems and end items fielded to U.S. special operations forces.
Calculated and purchased spare end items and parts inventory stock. Evaluated material management process measures and controls that revealed constraints and root causes, implemented process improvements that reduced customer wait time cycles by 25% based on serialized databasing of end items.
Resurrected budget-zeroed PMO and increased budget 15% by developing accurate and defensible cost estimation process, that included a complete package of Integrated Logistics Support, and Sustainment Logistics
National Logistics Corporation, Naperville, IL Full time, Oct 1999–Aug 2001
One of first 3PL companies with 40 employees producing $8 million in annual sales.
Operations Manager
Managed six-member department coordinating Truckload and LTL freight deliveries across continental U. S. generating $2.5 million in annual sales.
15% profit increase and improved reliability achieved in one year through application of Theory of Constraints and revision of operational methodology.
Accomplished 25% reduction in labor expense while increasing customer satisfaction by recruiting less experienced employees and providing continuous development programs to enhance expertise.
University of Arizona, Tucson, AZ 1992–1994
Department of Mines and Geology.
Research Assistant
Managed the design and training of artificial intelligence neural networks.
Coded neural networks and mathematical modeling algorithms in C+.
Utilized scientific inquiry to gather remote area data and developed neural network algorithms for application in mining and environmental studies and problems.
Attended professional seminars on state-of-the-art mathematical modeling and geophysics developments. Presented technical research papers on neural network research and applications to data forecasting.
Published master’s Thesis: Applications of Artificial Intelligence Neural Networks in a 1-Dimensional Electromagnetic Sounding System.
Additional Career Positions
Commanding Officer (Rank-Major), U.S. Marine Corps Reconnaissance Company, Anchorage, AK (1995–1998)
Logistics Officer, US Marine Corps Expeditionary Logistics Units, Camp Pendleton, CA (1987–1992)
EDUCATION
M.S., Geophysical Engineering, University of Arizona, Tucson, AZ
B.S., Mathematics, United States Naval Academy, Annapolis, MD
CORE STACK, COMPUTER TECHNICAL PROFICIENCY
Python: pandas, scikit-learn, tensor flow-keras, boto3, requests, psycopg2, matplotlib, seaborn, openpyxl
Natural Language Processing (NLP), Machine Learning (ML/AI)
SQL, PostgreSQL, PowerBI
Databricks, Azure
Power Point, Excel, Word, Outlook, Teams, Sharepoint, Acces
ADDITIONAL, COMPUTER TECHNICAL EXPERIENCE
AWS S3, API; Zeppelin Notebooks on Government Cloud
R Statistical, Visual Basic for Excel, and MATLAB Programming Languages
Tableau, Qlik interactive data visualization, WordPress website development
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