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

Booz Allen Hamilton

Booz Allen Hamilton is a leading advanced technology firm delivering consulting, analytics, engineering, and cybersecurity solutions across diverse sectors including healthcare and energy.

Career Progression:

- Hired as Staff Data Scientist (Senior Consultant level)
- Promoted to Lead Data Scientist / Researcher (Associate level) after 1 year and 4 months
- Promoted to Advanced to Senior Lead Data Scientist / Researcher (Lead Associate level) after an additional year

Key Contributions and Achievements:

✔️ Enhanced deployment success rates by implementing robust safeguards including structured code review processes, streamlined communication channels, and mock deployment practices—resulting in higher reliability and fewer failures

✔️ Designed and implemented a federated analytics platform integrating medical device data with clinical datasets; enabled data validation, descriptive analytics, and automated feeding of clean data into a Synthetic AI data generator to support advanced research

✔️ Standardized and improved data collection workflows by developing Python scripts to parse unstructured clinical notes, enabling more consistent and scalable data ingestion

✔️ Automated previously manual data cleaning tasks through custom Python scripting, saving approximately 5 hours per month and significantly reducing human errors

Data Scientist / Researcher, Lead Associate 

Strategic Alliance Consulting, Inc. (Strategic ACI)

Strategic ACI provides professional services to the Department of Defense (DoD) and Intelligence Community, specializing in systems engineering, analytics, and technical consulting.

I joined as a SAS Programmer and Epidemiologist supporting large-scale health surveillance and military readiness research. I was promoted to Senior SAS Programmer and Mid-Level Epidemiologist in late 2020, expanding my responsibilities to include technical mentorship and project oversight.

Key Contributions and Impact:

✔️Conducted statistical analysis and built reproducible pipelines using SAS and SQL to deliver health insights for military populations

✔️Led development of a multivariable logistic regression model identifying a 70% increased risk of incident stress fractures associated with NSAID use among service members

✔️Built a Poisson regression model with robust error variance, revealing that Black service members were 28% less likely to initiate COVID-19 vaccination — results cited in national media including CNN

✔️Designed and delivered Tableau dashboards summarizing disease burden, enabling leadership to visualize and act on population health trends

✔️Mentored junior analysts, provided code reviews, and guided research design to ensure methodological soundness and adherence to analytical best practices

Senior SAS Programmer / Mid Level Epidemiologist

Bristol-Myers Squibb

Bristol-Myers Squibb is a global biopharmaceutical company focused on discovering, developing, and delivering innovative medicines for patients with serious diseases.

As a Statistical Programmer within the Biometric Sciences group, I supported early-phase clinical trial programs by developing and validating SAS code and custom macros to produce clinical study reports and submission-ready outputs for FDA review.

Key Contributions and Achievements:

✔️Designed and tested SAS programs and reusable macros to support high-quality statistical analyses for early-stage oncology and immunology trials

✔️Led validation and quality assurance processes, achieving a 97% accuracy rate across trial datasets and deliverables

✔️Partnered with internal programming teams and external CROs to ensure adherence to CDISC standards, programming conventions, and study specifications—identifying and resolving up to 25% of programming discrepancies

✔️Facilitated cross-functional meetings with clinical, regulatory, and project leadership to review trial progress, resolve data issues, and present actionable recommendations

Biometric Sciences Statistical Programmer (Analyst)

Regenerative Medicine Solutions

Regenerative Medicine Solutions is a start-up biotechnology company focused on stem cell research. 
I became one of the 1st team members of the newly formed Business Intelligence Department and earned the role of being a Data Analyst, while still continuing my role as an Office Manager. 

Additional Responsibilities:

✔️ Designed statistical models utilizing SAS to analyze treatment effects and determine possible confounding factors such as age and gender on patient outcomes

✔️ Provided insight on location as a factor for treatment based on constructing visualizations with Excel such as heat maps, utilizing Geographic Information Systems software and producing analytical graphs

✔️ Applied updated treatment protocols in regression models in SAS to predict treatment effect for future patient outcomes, presented findings to Director and got approval to roll out new treatment across assigned patients

Office Manager / Data Analyst

As a Lead Associate – Data Scientist and Researcher at Booz Allen Hamilton, I specialize in architecting cloud-native, AI-powered data platforms that improve outcomes in public health, life sciences, and government sectors.

With over a decade of experience, I combine data engineering, ML infrastructure, and strategic leadership to deliver systems that scale. My recent work includes:

•	Leading cloud and data ingestion teams for supply chain analytics
•	Architecting federated analytics systems to support real-world evidence generation
•	Executing multi-account AWS data migrations and building pipelines with AWS Glue, PyDeequ, Great Expectations, and Pytest
•	Enhancing data quality, ML deployment success, and regulatory compliance (HIPAA, FDA, etc.)

With training in biostatistics, biomedical sciences, and computer science, I bring a unique lens to healthcare data challenges — from EHR integration to anomaly detection and cloud transformation.

I’m committed to mentorship and inclusive leadership. I’ve led Women in AI initiatives, organized leadership panels, and championed programs to elevate underrepresented voices in technology and data science.

I’m always open to connecting with professionals and organizations working at the intersection of:

•	Healthcare and cloud transformation
•	AI/ML and data engineering at scale
•	Building analytics pipelines in regulated or high-stakes environments

If you're scaling data science or ML infrastructure in complex domains, I’d love to connect and collaborate.

taplio

The Battle

Christina Stathopoulos, MSc

Alyssa Fedgo, MPH

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