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

⭐ I have reached the maximum connection limit of 30,000 here on LinkedIn. Please follow me instead.
📚 Follow & join my #bookaweekchallenge or #bookamonthchallenge
📍 Current resident of Madrid, Spain & native of Charlotte, North Carolina, USA

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Greek-American based in Spain where I run a global data/AI business. International keynote speaker, award-winning educator and the Founder of Dare to Data, on a mission to help individuals and corporations take the next step in their data and AI journey. After building a successful career in Big Tech companies such as Google and Waze, I shifted my focus to scaling impact through education, training and product evangelism. Today, I'm trusted by an extensive client list of Fortune 500 and Big Tech organizations. Outside of my corporate work, I hold an Adjunct Faculty position at several universities where I lecture and lead programs on data and AI for business. I also serve as an instructor for LinkedIn Learning and host a podcast for EM360. I am bilingual (English-Spanish) and offer collaborations in both languages.

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I am a regular international speaker supporting all things data and AI, as well as women in STEM. Some of my latest involvements include:
● Guest appearances on more than 30 podcasts such as SuperDataScience, DataFramed, Alter Everything, 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 20+ countries in-person, virtually spanning the globe, with audiences surpassing 3,000+. A few of my latest involvements include:
→ → Fund Summit 2025 in Luxembourg LU, "Regulating the Machine: How AI is Forcing a Global Rethink on Ethics & Control"
→ → National Analytics Summit 2025 in Dublin IE, "When Data Meets Design"
→ → CNG Global Pulp Conference 2025 in Istanbul TR, "Igniting Transformation with AI"
→ → QSP Summit 2024 in Porto PT, "Navigating Tomorrow in a Data-Driven, AI-First World"
→ → Nitto ATP Finals Customer Summit 2024 in Turin IT, "Unleashing AI's Power in Modern Manufacturing"
→ → Data Universe 2024 in NYC US, "When Data Meets Design"

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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/partners/clients.

Christina Stathopoulos, MSc

Your professional headshot is often your first impression.

On platforms like LinkedIn, it quietly answers a lot of questions for you: Are you credible? Approachable? Mine attached here is showing a subtle hint into my love for books!

There is no excuse for you to still be using that at-home selfie in bad lighting or your cropped family photo 🙄

Lately I have been experimenting with InstaHeadshots to generate AI-powered headshots. And the results are impressive! But there is a big caveat that often gets missed with these tools.

AI is only as good as the data you train it on.

If you want high quality outputs, you need high quality inputs.

When I trained my model, I used a mix of strong professional headshots and everyday photos and selfies. Different lighting, expressions, outfits and contexts.

That made all the difference in how realistic and usable my final images were.

⭐ I want to clarify that I don't think AI-generated images will replace the need for photographers. Not even close. ⭐

I fully plan to keep getting professional headshots done every two to three years. A great photographer brings expertise and quality that AI cannot do on its own.

What AI tools like this do change is SCALE.

AI now gives me access to literally HUNDREDS of additional, on brand images that I can use across platforms, talks, media and more. A quantity that would be unthinkable with a traditional photoshoot, both in terms of time and cost.

If you want to experiment with it yourself, you can try it here: https://lnkd.in/e7CnHNVU
Use code CHRISTINA15 for 15% off!

(I personally love this platform because you get a preview of your images first, and only pay once you're happy with the results.)

#artificialintelligence #generativeAI #headshots #futureofwork


💙 I partnered with InstaHeadshots because I genuinely love the product, can't wait to start using my new set of headshots and wanted to spread the word so others can try too!

🔷 TL;DR Remember that better data leads to better results. Invest in good photography. Use AI to extend it.

Data & AI Evangelist | Global Keynote Speaker & Award-Winning Educator | Making data & AI work for everyone, through a responsible lens! | Join my #bookaweekchallenge 📚

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

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Alyssa Fedgo, MPH

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The Battle

Christina Stathopoulos, MSc

Alyssa Fedgo, MPH

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