Dare to Data

I founded Dare to Data to formalize and structure the relationships I have with some of the world's leading companies to consult, support and empower them in their data and AI journey.

Current and past clients include PepsiCo, PUMA, Whirlpool, Nitto, Amazon Web Services, AtScale, EM360, O'Reilly Media, nexxworks, Aporia, Colquímica, DATAcated Plus, The Ravit Show, Ontotext, Growth Tribe, IBM / Databand, CoRise, SingleStore, Equals, Einblick, Impetus, Nexla, Starburst, ClearML, Nvidia, Dubai Future Foundation, ThriveDX, Global DIY-Summit, Afera, Prophecy, Listly, Dremio, amongst others.

Founder

LinkedIn

Over 65,000 learners to date! Building and teaching content as a part of the data course library, currently focused on empowering others to take full control of their data through the use of SQL as well as how to tap into the power of analytical thinking.

LinkedIn Learning Instructor

IE Business School

Delivering keynotes for the US, Spain, Canada, Portugal, Russia, Armenia, Georgia, Turkey, Azerbaijan, Jordan, Belgium, Luxembourg, Norway, Switzerland, Chile, Greece, Japan, South Korea, Nigeria, Egypt, Lebanon, China, Indonesia, Saudi Arabia, France, Cyprus & more.

International Speaker

Graduate-level courses taught primarily within the MBA programs covering data and artificial intelligence topics, as well as personal branding workshops.

Adjunct Professor, Department of Information Systems and Technology

Leading the Corporate Masters program for Saudi Aramco employees.

Academic Director, Saudi Aramco Master in Business Analytics and Big Data

Leading the online Executive program which explores the range of possibilities offered by using new technologies and aligning digital strategy with general strategy in a company.

Academic Director, Digital Strategy and New Technologies Executive Program

Porto Business School

Graduate and executive level courses taught in business strategy for data and artificial intelligence.

Adjunct Professor

ISDI

Launched, continue to coordinate and teach the Data & AI module within one of the flagship programs at ISDI - the Master in Internet Business in Madrid, Barcelona and online.

Data & AI Module Program Manager

Regularly lecturing in advanced analytics topics at the Masters level and Executive programs in ISDI, an international institution focused on digital transformation.

Lecturer

VN Campaign Partners

Partner

Google

Developing insights and tools to empower our teams to work smarter and our clients to get the most out of Waze Ads. Leading analytical studies and strategy across North America for some of our largest advertising verticals (Fuel, Auto Parts & Services) as well as non-endemic verticals such as Entertainment. Creating scalable data solutions via daily use of SQL, BigQuery, Looker, CARTO, GSheets.

Analytical Lead, Waze

As a part-time facilitator, teaching engineers & analysts how to apply statistical methods to big data problems (Hypothesis Testing, T-Tests, Multiple Linear Regression, Logistic Regression, Centered Moving Average, Causal Impact, K-Means Clustering).

Master Faculty - Data Science I

Leading complex data projects, automation and optimization with our most advanced international clients cross-office.

Data Specialist

#IamRemarkable is an initiative empowering women & underrepresented groups to speak openly about their accomplishments in the workplace & beyond, thereby breaking modesty norms & glass ceilings. Workshops hosted for the UN World Tourism Organization, Amadeus, CARTO, IE Business School, LastMinute, Teleperformance, Google Campus - Digitalizadas.

#IamRemarkable Facilitator

Combining Google Search data with advanced analytics and Cloud tools to drive business impact. Working with a $xxx-million client portfolio.

Analytical Consultant

Nielsen

Maintaining data integrity and leading projects in data process optimization, as well as supporting a migration to Big Data technologies (Google Suite). Delivering both internal and external seminars and training courses around data topics.

Expert Engineer in Project Development and Big Data

Graduate Intern: Associate Systems Engineer

Graduate Fellow

Data Whisperer ♦ Analytics Specialist & Tech Enthusiast ♦ Join My #bookaweekchallenge

📚 Follow & join my #bookaweekchallenge
📍 Current resident of Málaga, Spain & native of Charlotte, North Carolina

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Greek-American currently living in Spain, helping companies harness the power of data. Driven analytics professional & strong supporter of lifelong learning. I hope to bring advanced data technologies to the masses & exploit the potentials of emerging technologies. I am bilingual & passionate about international relations. Avid reader (bibliophile) & traveler. With trips to 60+ countries & first-hand experience working in a variety of cultures & languages, I enjoy & thrive when working in an international environment.

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Alongside my corporate work, I am a regular international speaker supporting data analytics, emerging technologies & women in STEM. Some of my latest involvements include:
● Guest appearances on more than 30 podcasts such as SuperDataScience, Ken's Nearest Neighbors, How to Get An Analytics Job, Driven by Data, Humans of Data Science, Present Beyond Measure, LightsOnData & more.
● Interview features, guest lecturer, panelist and event host!
● Keynote speeches delivered regularly since 2018 across 15+ countries in-person, virtually spanning the globe, with audiences surpassing 1,000+. Top involvements include:
→ → The WPO Annual Conference 2022 in Montreal CA, "The Information Age: Digitized & Datafied"
→ → Bloom Tech Forum 2021, "Harnessing the Power of Data for a Better Tomorrow"
→ → The WPO Annual Conference 2021 in Nashville TN, “Data Science: A Double-Edged Sword"
→ → The World Knowledge Forum 2021, “The Information Age: Digitized & Datafied"
→ → The Global DIY-Summit 2021, "The Future of Retail: Data as a Differentiator"
→ → Africa Communications Week 2021, “The Shift toward Data-Driven Marketing & Communications” 
→ → DATAcated Conference 2021, “From zero to hero: a simple explanation of ML"
→ → DATAcated Conference 2020, “SQL isn't going anywhere"
→ → Quantic EMBA Conference 2020, “The Truth behind the Buzz- Emerging Data Technologies for the 21st Century"
→ → The Smart Future World Expo 2019 in Istanbul Turkey, "Harnessing the Power of Big Data"
→ → TechIE 2019 in Madrid Spain, "Big Data & ML Intro Workshop"
→ →  IE-UCOM Big Data Day 2018 in Yerevan Armenia, "Harnessing the Power of Big Data"

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For further opportunities (podcasts, events, etc.) in my interested fields, feel free to contact me directly.

The opinions stated here are my own, not those of my employers.

*Note that I may earn a small commission for sales through my affiliate links shared here.

Christina Stathopoulos, MSc

Thom Ives, Ph.D.

Lead Data Scientist

Unify Consultants

Creating an AI bot to do frequent and specialized queries for Amazon.

Senior AI Consultant

Integrated AI Applications

Building a REST API hosted in Vercel that integrates with Stripe for payments. Tech stack is NextJS with Typescript using app router, Shadcn UI, Tailwind CSS, with Python and Jest testing.

Phoenix Intelligence

Founding member and technical advisor as Phoenix Intelligence helps clients use technology to achieve or exceed their goals.

Technical Advisor

Echo Global Logistics

* Developed two complete AI Web Apps, to be Outlook Add-Ins, to automate replies to quote request emails. They both used LLMs with Auto-RAG to perform entity identification. Front-end components, and FastAPI based back-end components all run from Docker containers. Did the same for the Front “Outlook Manager” app.
* Developed and delivered many models and helped the data science team to learn and use FastAPI and Streamlit served through Docker containers and Outlook Add-In Web Apps served via Apache.
* Developed a carrier manifest optimizer that saves ~10+% in carrier costs.

Senior Data Scientist

AI Strategy Corporation

. Worked on an AI architecture to rapidly process unstructured technical data sheets
. Programmed a fast document match math machine that grew real time
. Created tokenizers to rapidly find property elements in PDFs
. Developed a heterogeneous clustering algorithm to rapidly group property elements
. Built a text terms aligner that uses two lookup engines and a trained GloVe model
. Created a system of Python to SQL routines that generated the AI’s memory
. Built several Py-Selenium based dynamic web scrapers
. Started a data science community to share learning and mentor others in data science
. Gave many presentations to the UL community to spread data science appreciation

Integrated Machine Learning & AI

. Worldwide Mentoring grown from LinkedIn followers
. Writing an ML book with Packt and taught a course on the same
. Weekly “Integrated Mentoring” sessions - recordings on YouTube
. Technical and mentoring blog posts that address the data science community’s needs
. Bi-weekly tech chats where I help data scientists with detailed technical questions
. Frequently asked to keynote speak and present on data science topics

ON Semiconductor

. Used data science and python to automate testing of imaging die on wafers.
. Used software version control, testing, tuning, and benchmarking
. Mentored new engineers on how to automate their work with Python
. Developed a machine learning algorithm to automatically find image defects
. Updated, maintained, troubleshot test algorithms, applied them to new products

Algorithm Development Engineer

Hewlett Packard Enterprise

. Recipient of 25+ US Patents for many different types of devices
. Color Imaging: Created python based data science tools to adjust halftones across different printers / scanners. Ran psychometrics. Mentored and assisted 3 PhD graduate students in data science methods to accurately predict toner usage.
. Laser Cartridges: Developed statistical machine learning models for cartridge wear, automated data collection on laser cartridges in test to more rapidly ID problems; guided graduate students in modeling of toner dynamics for design improvements, served on their committees, and tested new cartridge designs.
. R&D of Micro-Electro-Mechanical Systems (MEMS): Coded simulations of mechanics, electrostatic motors and sensors, charged particle optical focused-emitters, and thermal performance using FEM, BEM, and lumped parameter modeling techniques for MEMS R&D. Specified and designed parts for, updated parts for, and constructed an R&D vacuum test system for performing laser-doppler-vibrometer dynamics studies using LabView coding for imaging and vision capture systems for MEMS testing; Used python to coordinate several computers to reduce cycle time in finding optimal solutions; Coded physical model simulations with python to control 3D surface animations to better characterize MEMS performance and quickly identify design problems.
. Leadership in Training: Originated site wide technical training to preserve knowledge through online videos.
. Parts Design: Faster more robust design & manufacture of plastic and sheet metal parts using design methodology and FEA.
. Disk Arrays: Continuing product engineer troubleshooting large storage disk arrays (RAID systems) and mechanical engineer.

R&D Engineer

University of Idaho

Assistant Faculty Member

Analyzing data to make predictions describes my 30+ year career. 

I love data science, machine learning, artificial intelligence, and multi-physics engineering, and can do a wide range of predictive analytics. 

Among my wide range of work, I have a particular passion around automating the flow and analysis of data and data visualizations including animation when necessary. It's not always about making predictions. It's also about giving actionable insights to the organizations that I serve.

My main language for the past 22+ years has been python, and I am skilled with many of pythons' modules. 

Other languages from my history of coding have been C, C++, FORTRAN, Basic, ACSL, MatLab Simulink, Labview, and AWK.

In August 2018, I started Integrated Machine Learning & AI providing services and instruction in the data science community.

In July of 2019, I joined AI-Strategy as their lead data scientist.

I also have wide business acumen. I am a successful and experienced real estate investor and was a licensed Realtor to support my real estate investing and more. I’ve worked in insurance and securities and was a certified life underwriter and held series 6 and 63 securities licenses. 

In summary, I’m an addicted data scientist and dynamic multi-physics systems modeler and analyst that loves to work with great people to improve the performance of business or products through better analytics, processes, and design.

I'd love to talk about DS, ML, AI, and engineering with you and your team,
Thom Ives

https://thomives.github.io/ThomIves/
https://integratedmlai.com​ ​ 
https://github.com/ThomIves

taplio

The Battle

Christina Stathopoulos, MSc

Thom Ives, Ph.D.

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