Tymen Schreuder has over 14 years of experience as a data specialist and application developer. He has expertise in data mining, analysis, and management with tools like R, SQL, SAS, and Tableau. He has worked as a data scientist, software engineer, and architect for companies like Expedia, PepsiCo, Active Network, John Deere, and UCHSC developing analytics, dashboards, and data solutions.
25 plus years of seasoned data professional in building, managing practices, Global Delivery in Big Data Analytics, Big Data Migration from On-premise to GCP and Azure, EDW & BI, Business analytics, SAP HANA, Predictive Analytics, Data QA, Automation of solutions, Big Data Framework & Methodologies, and Data Products Development
25 plus years of seasoned data professional in building, managing practices, Global Delivery in Big Data Analytics, Big Data Migration from On-premise to GCP and Azure, EDW & BI, Business analytics, SAP HANA, Predictive Analytics, Data QA, Automation of solutions, Big Data Framework & Methodologies, and Data Products Development
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
1. Tymen Schreuder CV
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Tymen Schreuder
Boulder, Colorado 80301
Phone: (303) 547-4033
tymenschreuder@gmail.com
Executive Summary
- Expertise in data mining, data analysis, and data management
- 12 years of professional IT, along with 8 years of programming experience
- Software Engineer, Software Architect, Data Scientist and Business Intelligence
- Innovative, insightful, and rigorous
Over 14 years of professional experience as a Data specialist and application developer.
Development of statistical analysis has heavily involved statistical packages with R,
SPSS, SQL and SAS. Software applications, web applications and web-services have
required development relevant to J2EE, .NET, and Ruby on Rails frameworks. Utilized
SQL throughout my professional work and academic research. About 60% of my
database work has been with MySQL, and 20% each for both Oracle and SQL Server.
Multiple years of working within Agile development environments, and multiple years
working independently on developing statistical predictive models and optimizing
processes.
Core Technical Capabilities
Analytics: SPSS, R statistical packages, SAS, Tableau, ArcGIS complex analysis
Software: Ruby on Rails, Java, .NET, ASP.NET, C#, RSpec, JQuery, CSS
Relational DB: Oracle, SQL Server, MySQL, Postgres, SQL
Environment: UNIX OS, Windows OS, Agile, TDD
Professional Experience
Data Scientist
Independent Consultant to Expedia, PepsiCo and Active Network
Remote/Dallas, TX
Feb 2012 – Dec 2014
Analytic Responsibilities
- Produced business intelligence and insights driven by business requirements and
statistical analysis, including multiple client ‘Big Data’ data sources
- Responsible for architecting analytic frameworks for data-mining, ETL, analysis, and
reporting. This incorporates open source solutions such as SQL scripting, R Statistical
packages, and are hosted on UNIX servers. The reporting utilize Tableau and R.
- Integrated data sets which including Google Analytics and Google AdWords
- Improved targeted marketing for each of the three clients over the past 3 years
2. Tymen Schreuder CV
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Developer Responsibilities
- Utilized Ruby on Rails (version 3) web framework to create dashboards and reporting
solutions
- Utilize MySQL database along with Active Record ORM.
- Consolidated disparate complex and large datasets into well-organized relational data
resources.
- Used JSON extensively for data transfer and data ingestion
- Used Devise gem for user authentication and session management
- Designed the schemas necessary for data management and data integration
Software Engineer/Statistician
John Deere
Fort Collins, CO
Jan 2010 – May 2011
- Responsible for the development of John Deere’s sales expectation for Deere’s Canadian
market
- Developed reporting dashboard using Ruby on Rails (Rails 2.0)
- Data sources include the 2006 Census, 15 years of Deere sales, and geospatial data
- Utilized SQL, Oracle, Tableau, R, and ARC-GIS
- Analytic methods include CHAID, Decision-tree analysis, and MARSSplines
- Designed and implemented DB schema in Oracle to effectively manage large datasets
- Performed ETL operations on terabyte-sized datasets
Software Engineer/Statistician
Nursing Home Quality (Now Providigm)
Denver CO
Jan 2010-May 2011
- Combined with the RoR development team towards the successful adaptation of their US
nursing home care software to that requested by the Canadian Ministry of Health
- Provided easy to use analytic dashboards through combining RoR with R statistical
packages
- Provided the analysis and reporting that was required for demonstrating the quality
assurance and efficacy of the adapted software to the requirements identified by the
Ontario Ministry of Health
- Built custom reporting tools for the requirements specified by management
- Assisted in design of experiment to verify validity of Providigm’s tools
- Provided the analysis and reporting of these results to Ontario Ministry of Health
- Agile development environment with Rails 3, OS X and MySQL DB
- Used RSpec for Test Driven Development
- Utilized jQuery, CSS and Rails templates to provide an intuitive
Software Engineer
University of Colorado Health Sciences (UCHSC)
Denver CO
Jan 2006-March 2009
- Provided .NET development of in-house software and utilities
- Developed a web-service that assists university faculty publicize their ongoing research
along with their individual curriculum vitae’s
- Utilized SQL Server, C# .NET, ASP.NET, Subversion, and test-driven development
- Developed multiple web services for the use of medical doctors
- Provided GUI survey applications for State of New York and in-house nursing care
3. Tymen Schreuder CV
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Software Engineer
IBM
Boulder CO
Apr 2002 – Dec 2005
- Transition legacy software to Java and J2EE
- Additionally responsible for providing Tier 2 Support for transitioned software
- Interfaced with IBM business customers in Latin America, Europe, and the US
- Gathered Specifications, and designed the business objects required for software
- Customer requirements were dynamic along with business critical deadlines
- Assisted in debugging, trouble shooting and testing for application development
Education
M.S. Applied Statistics: Colorado State University, CO (Graduated 2010)
B.A. Biochemistry: University of Colorado, Boulder, CO (Graduated 2001)
B.A. Kinesiology: University of Colorado, Boulder, CO (Graduated 2001)
Minor Mathematics: University of Colorado, Boulder, CO (Graduated 2001)