-Clients include a large tech firm (IOT security using Data Science), mid-size consultancy, two large banks, and government entities including local, state, and federal agencies-Work with Clients, Analysts, Stakeholders, and staff Data Scientists to define metrics, KPIs, experiments, A/B, tests, ERP execution, and business requirements along with automated reporting of results-Worked with a major bank and US Treasury to provide analyses and recommendations regarding business and technical requirements, econometric and predictive models, strategic insight, and development of a Center of Excellence with a 20% efficiency increase-Travis County JPD (~$37,000,000 budget with over 40 programs) was a client with a major staff shortage and was 4 months behind on analytics, grant reporting, and grant application for juvenile detention, drug, crime, and other programs-Made up the 4-month backlog in 2 weeks with all deadlines and reports met early or on-time-Found and implemented changes in processes for reporting and analyses, increasing productivity 3100% while onboarding and training new department staff-Much work was and is under strict Non-Disclosure Agreements-Work involves advanced analytics, machine learning/AI, and big data techniques similar to work done previously using SAS, SQL, SQL-Server, AWS, JIRA, Microsoft TFS, AWS, Hadoop, Map/Reduce, Spark, Python (Pandas, NumPy, scikit-learn), R, KSH88, Vertica, Excel, VBA, and Access-ICAgile Professional Certification

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-Serve as an independent Data Science consultant focusing on advising companies and investors on analytics software solutions, Machine Learning, and AI -Advised clients on system requirements, business requirements, and technical considerations based on their budget, risk, strategic and technical parameters-Compared and analyzed various competing technologies for clients along with tradeoffs-Benchmarked various data science solutions with regard to market direction and development needs

-Provided advice on Data research, Machine Learning, and AI techniques-Provided testimonials regarding the implications of their technology to the marketplace-Wrote questions and answers for AMAs, PR, and Marketing materials-Boltt has been featured as one of the best startups in 2016 by CNBC and has made Forbes, Sports Illustrated, Tech Crunch, CES, and the Founder was interviewed by Maggie Lake of CNN-The technology connects to Apple Music, Fitbit, MyFitnessPal, Jawbone, GoogleFit, and more-Brought on as an expert advisor in order to best utilize and implement ML and AI; Boltt has been featured as one of the best startups in 2016 by CNBC and has made Forbes, Sports Illustrated, Tech Crunch, CES, and the Founder was interviewed by Maggie Lake of CNN

-Investor in startup companies in early to mid-stage growth-Deals and negotiations have included companies whose founders have been interviewed in Forbes with investment amounts ranging from $100 to over $25,000 at a time-Company valuations have been upwards of $100,000 based on equity ownership and competing offers

-Manage an international software development team (10+) and international contractors (10+) for Data Science, Machine Learning, and AI tasks for implementation at scale for clients-Invent and deploy novel and cutting edge (from new academic literature) Machine Learning and AI algorithms for clustering (K-Medoids in fastest theoretical time), data mining, customer value and segmentation, GLMs, GAMs, and Recommendation Engines on high-dimensional, big data -Report to, update, and collaborate with C-Suite executives across the company on Data Science initiatives, projects, and capabilities according to defined KPIs and product/client requirements-Constructed automated Data, Analytics, and Machine Learning Pipelines that perform tasks and analyses in hours that used to take in-house analytics consultants months-Received ICAgile Certified Professional Certificate from training with Carl Shea, voted one of the best Agile coaches in the world-Epsilon clients include Automotive and Retail clients such as AutoNation, JC Penny, Walgreens, American Express, Dell, and many Fortune 50 and Fortune 500 brands-Technologies include Spark, SAS, SQL, Python, R, AWS, Cloudera, Hadoop, Java, Zeppelin, and Scala

-Developed, tested, and improved advanced machine learning and AI models in SAS/R/Vertica/Python (Neural Networks, Decision Trees, Logistic Regression, SVM, MARS, and Random Forests) to combat and identify grey-marketing within a high-dimensional, multi-collinear, big data (3.8 Billion Rows) cloud architecture and international team - The monetary impact from the fraud and grey-marketing analysis was a net improvement of $230 million saved (an almost 4-fold improvement) between subsequent fiscal years ($82 million was the baseline from the old methodology)-Consulted on a proof-of-concept to apply descriptive statistics and predictive models to determine root causes and relationships in financial, product line, and project reporting data-Advised, briefed, and strategized with business stakeholders and managers concerning cross-functional and international Data Science projects and business proposals- Performed management and mentorship roles including hiring decisions for business analysts for text analytics, NLP benchmarking, and financial/operations analytics projects-Worked in an international context with management and team functions across Ireland, China, and India-Worked on a team project and white paper to produce a heuristic recommendation engine using machine learning that takes an arbitrary input data set and produces optimal model suggestions and confidence scores

-Managed the participants for Holiday Mobile Shopping promotion accounting for approximately 1.025 billion pieces and $226 million in revenue in 12 business days-Trained and managed new consultants in how to build, develop, and quality check advanced Excel, SAS, and SQL models, machine learning, and data mining methodologies on large and cloud systems (AWS and Hadoop)-Provided management for promotions by producing documentation required to ensure the program complied with requirements and achieved the desired results -Managed customer earned postage credits by preparing customer reports to communicate final status in the program. Rebates were distributed to customers totaling approximately $4.6 million in 12 business days-Managed the learning, onboarding, and development of new consultants to the project and IBM with responsibilities including hosting, creating, and instructing Microsoft Excel and SAS programming classes in excess of 100 consultants with the goal of developing the necessary skills to create advanced work product and models using cloud technologies and environments (AWS and Hadoop)-Teamed with a coworker to develop a customer segmentation machine learning/AI model with the purpose of leveraging, reconciling, segmenting, and interpreting existing customer data across all available data sources-The model analyzed parcel mail products and the associated USPS customers while creating appropriate segments in which to cluster USPS customers based on key prescriptive metrics-The model divided over $2,500,000,000 in revenue and 1,300,000,000 pieces of business volume

-Programmed quantum mechanical models on glutamate ion channel binding mechanisms-Tested model prediction for binding, solvation, and free energies as predicted by thermodynamics and quantum mechanical molecular mechanics compared to experimental data-Contributing Author of the paper "Molecular Mechanisms of Ca2+ Selectivity and Mg2+ Block of NMDA Receptors." Biophysical Journal 100.1 (2011): 269a.

-Analyzed and handled research grade solutions of chemical agents via GC/MS-Built, tested, and operated pressurized cells containing swatches of protective chemical suit materials to simulate various battlefield conditions-Prepared, maintained, and manipulated sorbent air sampling tubes and MINICAMS equipment for Near-Real Time monitoring for nerve and vesicant chemical agents-Analyzed, researched, and executed laboratory and quality assurance programs with success

Make sure kids and their parents obey soccer regulations and keep the game under control.

-High School Senior Group Research Project in Chemistry-Submitted a group paper to the American Chemical Society on the production of bio-diesel using an original synthetic process from food sources and fryer grease in collaboration with Battelle-Tested fuel combustibility and efficacy in diesel engines with success

-Designed, built, and tested a solar chimney (parabolic dish concept) over the course of three weeks on a limited $300 budget then analyzed the data regarding power efficiency in a technical paper. -Project Advisor: Professor Richard Stamper, Head of the Department of Engineering Management.-Summer of 2006, going into senior year of high school.