🎯 Christopher Bratkovics

Data Scientist | AI & Analytics Professional

🚀 Transforming Data into Strategic Insights Through Advanced Analytics & Machine Learning

Quick Links: 🌐 Portfolio • 💼 LinkedIn • 📊 Tableau • ✍️ Medium

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🎯 What I Do

I architect AI-driven solutions that turn complex data into actionable business strategies

🔮 Predictive Analytics → Forecast KPIs and customer behavior with 95%+ accuracy
🧠 Machine Learning → Deploy production-ready models that drive measurable ROI
☁️ Cloud Architecture → Scale data solutions across AWS, Azure, and Oracle platforms
📊 Strategic Insights → Transform raw data into executive-level business intelligence

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🛠️ Technical Arsenal

🐍 Core Technologies

AI Tools: ChatGPT • Claude • Gemini • Copilot
Languages: Python • SQL • R
ML Frameworks: TensorFlow • PyTorch • Scikit-learn
Cloud Platforms: AWS • Azure • Oracle

🚀 Specialized Skills

MLOps: Docker • CI/CD • Model Deployment
AI/NLP: Generative AI • LLMs • Deep Learning
Analytics: A/B Testing • Statistical Modeling
Visualization: Tableau • Power BI • Matplotlib • Seaborn

🏆 Domain Expertise

⭐ Data Mining

⭐ Generative AI

⭐ Large Language Models

⭐ Sports Analytics

⭐ Business Intelligence

⭐ AI Automation

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🎓 Education & Growth

Institution	Degree	Completion	Focus Areas
🎯 Bay Path University	M.S. Applied Data Science	Jun 2025	ML Pipelines, Cloud Modeling, Analytics Communication
🔬 General Assembly	Data Science Certificate	May 2019	Immersive ML Training, Real-world Applications
💻 University of Vermont	B.S. Computer Science	Dec 2018	Algorithm Design, Software Engineering, Database Systems

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💼 Professional Journey

🏢 Outfront Media • New York, NY

📊 Data Scientist • Apr 2024 – Present

🎯 Impact Delivered:

• 🔮 Predictive Excellence → Built ML models achieving 95%+ accuracy for KPI forecasting
• ⚡ Production Integration → Deployed MLOps workflows improving operational efficiency by 40%
• 🧪 A/B Testing Mastery → Designed rigorous experiments validating $2M+ product initiatives
• 🤖 AI Innovation → Implemented Generative AI tools streamlining content workflows

📈 Senior Data Analyst • Apr 2021 – Apr 2024

🎯 Strategic Contributions:

• 🚀 Business Impact → Led analytics initiatives driving measurable ROI improvements
• 🔬 Product Optimization → A/B tested features impacting 1M+ users monthly
• 💡 Opportunity Discovery → Identified $5M+ revenue opportunities through advanced analytics
• 🤝 Cross-functional Leadership → Bridged technical solutions with business strategy

📊 Business Intelligence Analyst • Jul 2019 – Apr 2021

🎯 Foundation Building:

• 📈 Dashboard Excellence → Created executive-level BI dashboards in Oracle & Power BI
• ⚡ Automation Champion → Reduced manual reporting by 70% through Python automation
• 🔍 Insight Generation → Uncovered critical business patterns through statistical analysis
• ✅ Data Quality → Implemented validation processes ensuring 99.9% data accuracy

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🚀 Featured Projects

🏀 NBA Player Performance Prediction

Advanced ML Pipeline for Professional Sports Analytics

🎯 Challenge: Predict NBA player statistics with hypothesis-driven insights
⚡ Solution: End-to-end ML pipeline with ensemble modeling and statistical testing
📊 Impact: 95% variance explained for points prediction + quantified rest day advantages
🛠️ Tech Stack: Python, XGBoost, Random Forest, Statistical Testing, MLOps

Link: 📁 GitHub Code

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🏈 Fantasy Football Draft Optimizer

ML-Powered Strategic Drafting System

🎯 Challenge: Optimize fantasy football drafting with advanced analytics
⚡ Solution: Gaussian Mixture Models for tier clustering + neural nets for performance
📊 Impact: Strategic advantage through consistency and boom/bust metrics
🛠️ Tech Stack: Python, Neural Networks, Clustering, Feature Engineering

Link: 📁 GitHub Code

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🖼️ CNN Robustness Analysis

Deep Learning Model Consistency Under Real-World Conditions

🎯 Challenge: Evaluate CNN performance under realistic perturbations
⚡ Solution: Systematic testing across 4 architectures with multiple perturbation types
📊 Impact: Quantified model reliability for production deployment decisions
🛠️ Tech Stack: TensorFlow, Computer Vision, Statistical Analysis, Model Evaluation

Link: 📁 GitHub Code

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📚 Knowledge Sharing & Tutorials

📊 SAT/ACT Analysis & EDA Tutorial

Comprehensive Guide to Exploratory Data Analysis

🎯 Educational Impact: Step-by-step tutorial demonstrating professional EDA techniques
📈 Content: Analysis of standardized testing disparities across U.S. states (2017-2018)
🎓 Learning Value: Data cleaning, visualization, correlation analysis, and statistical insights
🛠️ Techniques Covered: Pandas, Matplotlib, Seaborn, Statistical Analysis, Data Visualization

Links: 📖 Medium Tutorial • 📁 GitHub Code

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🎯 Additional Projects Portfolio

Project	Description	Tech Stack
🌪️ Disaster Damage Estimator	ML model for infrastructure assessment	Computer Vision, Regression, Feature Engineering
🗨️ Reddit Sentiment Analysis	NLP classifier across diverse communities	NLP, Classification, Text Processing
🏠 Ames Housing Price Prediction	Regularized regression for forecasting	Regression, Feature Selection, Cross-validation
📈 Time Series Forecasting	Advanced forecasting techniques	ARIMA, Prophet, Seasonal Decomposition

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🏆 Certifications & Recognition

• IBM Data Analyst Specialization (Oct 2023)
• Google IT Automation with Python (Jul 2023)
• IBM Data Visualization Foundations (Jul 2023)

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✍️ Published Technical Insights

• 📊 Exploratory Data Analysis Tutorial in Python — Towards Data Science • June 2019
• 🤖 Comparing Classification Algorithms — Naive Bayes vs. Logistic Regression — The Startup • June 2019
• 📈 Intro to Classification Evaluation Metrics — Towards Data Science • June 2019
• 🔧 Beginner’s Guide to GitHub — Independent • May 2019

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🤝 Let’s Build Something Amazing Together

🎯 Ready to transform your data challenges into competitive advantages?

Contact Options:

• 🌐 Portfolio: Explore Full Work
• 💼 LinkedIn: Professional Network

I Specialize In: Predictive Analytics • Machine Learning • Business Intelligence • Cloud Architecture

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*⚡ Crafted with precision by Christopher J. Bratkovics

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