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Data Scientist | AI/ML Engineer

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Professional Summary

Data Scientist and AI/ML Engineer with strong skills in Python, JavaScript, and C++. Skilled in predictive modeling, NLP, deep learning, and agentic AI workflows, with experience handling and analyzing complex datasets, and deploying CNNs, regression models, transformers, and multi-agent LLM systems using CrewAI, OpenAI SDK, and Hugging Face. Strong knowledge of Agentic AI and LLM engineering, with a focus on building scalable, production-ready AI solutions. Currently pursuing a Master’s in Data Science (PhD in AI planned), passionate about applying AI, automation, and big data to solve real-world problems. U.S.

citizen based in Mielec, Poland, holding a Polish work and residence visa, and a native English speaker with international experience.

PROJECTS

AI-Powered Sales Research & Email Agent – AI Project · 2024 - Present

Built a multi-agent workflow with three agents and four LLM models, including a final “judge” model to evaluate and select the best sales email draft.

Automated email delivery by sending the winning draft directly to specified clients, highlighting lesson offerings and pricing from my English teaching business.

Integrated LLM-based autoreplies to handle client responses, enabling two-way communication without manual intervention.

Demonstrated advanced skills in LLM orchestration, agentic workflows, and applied AI automation, reducing manual outreach effort and increasing engagement.

AI-Powered Company Research & Analysis Agent – AI Project · 2025 - Present

Built an agentic AI workflow using CrewAI with specialized researcher and analyst agents to automate financial company research.

Designed sequential tasks to gather news, analyze performance, and produce structured financial reports.

Integrated Resend API to automatically deliver results via email in text, HTML, and Markdown attachment formats.

Applied LLM orchestration, tool integration, and workflow automation, showcasing practical AI engineering for real-world business use cases.

Social Media Benchmarking Analysis – Data Science Project · 2025 - Present

Developed a TikTok Insights Scraper in Python using Selenium and WebDriver Manager to collect engagement data (likes, comments, shares, saves, hashtags) across competitor accounts.

Engineered analytics modules to calculate view-adjusted engagement rates, posting frequency, hashtag efficiency, optimal posting windows, caption length correlation, and content category lift.

Automated data export by generating one-row CSV summaries per profile and providing per-post engagement snapshots for deeper analysis.

Benchmarked my company’s social media performance against competitors, uncovering that vocabulary-focused content at optimal posting times boosted engagement and increased client

interaction by 30%.

AI-Powered Deep Research Agent – AI Project · 2024 - 2025

Engineered a multi-agent research pipeline that plans searches, executes queries, summarizes results, and generates structured Markdown reports with iterative critique and revision.

Deployed with Gradio UI to guide users through clarifying questions and research refinement, creating a researcher-like experience for improved result accuracy.

Automated report delivery by formatting outputs into TXT/Markdown and sending them via the Resend

API, enabling seamless email distribution to specified recipients.

Demonstrated expertise in agentic AI workflows, multi-LLM orchestration, prompt engineering, and applied AI automation for end-to-end research generation.

Sickle Cell Image Classification – Deep Learning Project · 2023 - 2024

Preprocessed and curated a medical image dataset from Uganda, excluding unclear samples to improve training quality.

Built and trained a Convolutional Neural Network (CNN) with Conv2D, MaxPooling2D, Dense, and Dropout layers using TensorFlow/Keras.

Achieved 1.00 training accuracy and 0.96 validation accuracy over 30 epochs, demonstrating strong classification performance despite limited dataset size.

Planned further improvements with data augmentation, early stopping, and dropout tuning to reduce overfitting and enhance generalization.

All American English Website Analytics – Web Project · 2022 - Present

Designed and deployed a full-stack learning platform using JavaScript, Bootstrap, HTML, CSS, and Excel for lesson and content management.

Developed interactive vocabulary quizzes and flashcards, improving student engagement and learning outcomes.

Built simple analytics tracking and reports to monitor learner activity, lesson completion, and engagement trends.

Implemented data-driven improvements to course offerings, leading to a 25% increase in clients for the business.

TECHNICAL TOOLS & STACK

Languages & Data Analysis

Python, R, SQL (PostgreSQL, MySQL), C++, JavaScript, Node.js, Pandas, NumPy, Matplotlib, Seaborn, Tensors

Machine Learning & AI

Scikit-learn, TensorFlow, PyTorch, XGBoost, Gradient Boosting, Transfer Learning, CNNs, RNNs

LLM and AI Workflows

GPT-4/5, Claude, Google Gemini, Ollama, DeepSeek, Groq, Hugging Face Transformers/Spaces, RAG, NLP

(NLTK, spaCy, BERT), Prompt Engineering, LangChain, CrewAI, AutoGen (Microsoft), OpenAI SDK, Agentic AI

Workflows

Cloud & Big Data

Google Cloud, AWS, Vercel, Hadoop, MongoDB, ETL Pipelines

Visualization & Analytics

Tableau, Power BI, Excel

Frameworks & Dev Tools

Flask, Django, REST APIs, Bootstrap, HTML/CSS, Resend (email automation), Git, GitHub, VS Code, Cursor IDE, IntelliJ IDEA, PyCharm, Jupyter Notebook, MCP (Modal Context Protocol)

WORK EXPERIENCE

All American School of English – Data Scientist | Web Developer

01/2020 - Present · Warsaw, Poland

Founded and developed a full-stack learning platform using JavaScript, Bootstrap, HTML, CSS, and Excel, featuring interactive vocabulary quizzes and flashcards to improve engagement and learning.

Integrated the platform with TikTok and Instagram content, boosting visibility and driving a 25% increase in client engagement and retention.

Delivered online Business English training to professional software developers at large companies in Poland, expanding the enterprise client base by 20% and increasing recurring revenue.

European League of Football – Data Analyst | Professional Athlete

01/2020 - Present · Berlin, Germany

Analyzed game film data using statistical methods to identify opponent formations, play tendencies, and performance trends.

Delivered actionable insights to coaching staff, enhancing game planning and strategy development, which improved team preparation and competitive performance.

Helped increase defensive read accuracy by 15%, contributing to stronger in-game adjustments and improved win rates

Also competed as a professional athlete in the European League of Football, applying the same discipline and analytical mindset on the field.

Georgetown Alumni Funds – Data Analyst | Student Caller

08/2017 - 12/2019 · Washington, D.C.

Tracked and updated daily fundraising results in Excel, maintaining 100% accuracy across alumni donation records and campaign progress.

Managed high-volume inbound and outbound alumni calls, strengthening donor engagement and directly contributing to meeting annual fundraising targets.

Georgetown University - NCAA Division I American Football Player

07/2015 - 12/2019 · Washington, D.C.

Conducted 14+ hours of weekly performance data analysis on game film using statistical methods and visualization tools, generating insights that refined defensive strategies, identified opponent trends, and improved team performance by 15%.

Analyzed fan and stakeholder engagement data, delivering insights that guided outreach and marketing initiatives, boosting community engagement and brand visibility by 30%.

EDUCATION

University of Phoenix - Master of Science, Data Science

01/2025 – in progress, expected 2026 · Phoenix, AZ

University of Phoenix - Bachelor of Science, Computer Science

01/2020 - 12/2024 · Phoenix, AZ

Georgetown University - Bachelor of Arts, History

07/2015 - 12/2019 · Washington, D.C.

CERTIFICATIONS & IN-PROGRESS TRAINING

AI in Production: Gen AI and Agentic AI at Scale (2025) — Ed Donner — In progress, ~50%

Coverage: deploying LLMs and GenAI systems in production, building agentic workflows, scaling AI applications, prompt evaluation and optimization, safety and reliability, tool integration, and Python-based automation for AI pipelines.

The AI Engineer Course 2025 — 365 Careers — In progress, ~65% Coverage: Python for AI/NLP, Transformers, LangChain apps, Hugging Face, API integrations.

PyTorch for Deep Learning Bootcamp (2025) — ZTM, Andrei Neagoie & Daniel Bourke — In progress, ~20% Coverage: neural networks, computer vision, transfer learning, optimization, model deployment, and advanced PyTorch workflows for real-world deep learning applications.

Machine Learning, Data Science & AI Bootcamp (2025) — ZTM, Andrei Neagoie & Daniel Bourke

Completed Coverage: Python 3; NumPy; Pandas; Matplotlib; Seaborn; scikit-learn; TensorFlow 2;

supervised and unsupervised learning; time series; feature engineering; model selection and evaluation;

transfer learning; end-to-end ML workflow; portfolio projects.

DevOps: Beginners to Advanced with Projects (2025) — Imran Teli — In progress, ~10%

Coverage: CI/CD pipelines, Docker, Kubernetes, Jenkins, GitHub Actions, infrastructure as code

(Terraform, Ansible), monitoring, cloud deployment strategies, and hands-on DevOps projects.

The Complete Web Development Bootcamp — App Brewery (Dr. Angela Yu) — Completed

Coverage: HTML; CSS; JavaScript; React; Node.js; Express; REST APIs; MongoDB; responsive design; full-stack CRUD apps; authentication and sessions; debugging and best practices; Git and deployment;

portfolio projects.

Google Digital Marketing Certification — Google — Completed Coverage: SEO; SEM; Google Ads;

Google Analytics; campaign planning; keyword research; content strategy; social and email marketing;

conversion tracking; A/B testing; privacy and compliance.

PROFESSIONAL DEVELOPMENT & INTERESTS

Developing a growing passion in AI and machine learning, with complementary experience in data science and emerging technologies.

Some background in web development, with additional international experience as a TESOL-certified

English teacher and multilingual learner (Polish, German).

Professional American football player in European leagues, bringing discipline, teamwork, and resilience into professional growth.