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I drive revenue. All other metrics pale in comparison.
Be it billion dollar brands or startups, I've spent the last two decades architecting technology solutions and innovative search marketing strategies (domestic & international) for e-commerce. I believe in the power of 'what if?'; leveraging hybrid expertise in search engine optimization (SEO), web development, e-commerce, and digital strategy to achieve extraordinary results.
My core competencies include search engine optimization (SEO), search marketing strategy, data wrangling (NLP/computational ontologies), and e-commerce marketing automation.
As founder and CTO of MarketKarma, I oversee organic search strategy for all enterprise accounts and work to create innovative solutions to assist retailers in tackling their online marketing challenges.
I work with brands like..
Ace Cash Express, Athleta, Banana Republic, Blackhawk Network, Blockbuster, Buckle, CheapCaribbean, CheckPast, DashFly, Diesel, DistroMex, Ebates, Eddie Bauer, Fossil, GUESS, Gap, GiftCardMall, Gold's Gym, Horchow, JCPenney, Livingston Lures, Marciano, Mavis Tire, Mavor Lane, Old Navy, Orbitz, Oriental Trading Company, PacSun, Piperlime, Red Envelope, Ritter Dental, SPFM LP, Sacha Cosmetics, ShearComfort, Smart Bargains, Swanson Health, Williams-Sonoma
Connect with me @:
Email: joey@marketkarma.com
Call: (888) 277-0225
Web: https://www.marketkarma.com
Social: https://joeyburzynski.dev
Connect: https://calendarhero.to/JoeyBurzynski
AngelList: https://angel.co/u/joeyburzynski
CoderRank: https://profile.codersrank.io/user/joeyburzynski
CodePen: https://codepen.io/JoeyBurzynski
Quora: https://www.quora.com/profile/Joey-Burzynski
Quora Spaces: https://optimization.quora.com/
LinkedIn: https://www.linkedin.com/in/miamibeachseo/
Fast Company: https://board.fastcompany.com/profile/Joey-Burzynski-Founder-CTO-MarketKarma/12629614-d0b7-4a8c-8076-5be2166473a0
Forbes: https://profiles.forbes.com/members/tech/profile/Joey-Burzynski-Founder-CTO-MarketKarma/72b6886c-bd96-4988-ad8b-14287a291009
GitHub: https://github.com/JoeyBurzynski
Gist: https://gist.github.com/JoeyBurzynski
Google: https://g.dev/EcommerceSEOExpert
LinkTree: https://linktr.ee/joeyburzynski
Medium: https://medium.com/@joeyburzynski
ORCID: https://orcid.org/0000-0002-7448-8294
StackOverflow: https://stackoverflow.com/users/3767344/joeyburzynski
Twitter: https://twitter.com/JoeyBurzynski
Bachelor and Master Degree Candidate at Universidade de São Paulo (USP), I have 6 years of experience in technology careers and 3+ years of experience as a Business Intelligence and Data Science Analyst, participating as Data Engineer, Data Analyst and Tech Lead in several projects. Main topics over my work experience are:
- Technical Skills: SQL (SQL Server, Postgres, MySQL, Presto) , Deep Learning, LLM, Python (mainly Matplotlib, Numpy, Pandas, Polars, Seaborn and Sklearn), R, Spark, MongoDB, ElasticSearch
- Cloud Computing Skills: AWS services (Glue, Sagemaker, Athena, EC2 and S3), Databricks, Dataiku
- Data Warehouse Skills: Snowflake
- Visualization Skills: Tableau, Power BI, Meatabase
- Machine Learning Skills: Classification, Regression, Clustering, Time Series.
- Application Lifetime Skills: Openshift, Jenkins, Zabbix, Grafana.
- General Skills: Git, Scrum, Linux, Green Belt Certification.
- Collaboration in the structuring of a Data and Analytics sector;
- Extraction, ingestion and definition of master data and business indicators;
- Tech lead experience in data engineering, business intelligence and Analytics teams;
- Processes automations, leading to working hours optimization;
- Organization of recurrent reports, turning them more concise;
- Creation of deeper analysis projects over an Analytics and Machine Learning perspective.
My way of working consists in adpatation to the culture and environment of the company, embodying the growth mindset and always looking to contribute in possible enhancements in the current state of technical aspects. I consider myself ready for different business scenarios, due to my problem solving skills, I am also capable of creating solutions, with or without a team, whose goal is to reach indicators and answers to business daily or chronical problems.
Always learning and always yearning, I sincerely believe that we can achieve greater heights by collaborating on our problems. I love to be involved with technical communities in different capacities and enjoy solving issues. I have had more than 50 mentoring sessions on HackHands ( http://www.hackhands.com/hiren ). Currently I run my own business, which is into mobile apps and websites.
Embark on a transformative coding journey with me, a visionary computer science expert and a passionate mentor, bringing over two decades of rich expertise in the dynamic realms of programming, data science, and software architecture.
My technical skills span across a broad spectrum, including mastery in programming languages like Python, Java, C++, C, and Scala, along with a profound understanding of algorithms, data structures, and the complex art of software design. My research interests include big data analysis, semi-stream join algorithms, and real-time data warehousing. As a mentor, I've illuminated the path for students globally, from prestigious universities in the USA, Australia, Canada, and the UK, in a vast array of subjects from Big Data Analytics to Cyber Security, and advanced programming languages. Currently, I am a lecturer of Computer Science at a Higher Education Institute. My academic prowess is underscored by a **PhD** in Computer Science, with my doctoral thesis titled: "Integrated Real-Time Distributed Stream-Disk Processing Architecture for Unstructured Big Data". Join me on codementor, where together, we'll navigate the intricacies of technology, unleashing the potential to innovate, solve real-world problems, and excel in your programming career.
I love to teach what I know. I think I can explain things easily with examples. I have been working as a Software Engineer for the last 5 years and have worked with some of the world's most reputed companies like **Open AI, Scale AI, Doloras Lab**, etc as a freelancer.
I am a Business Intelligence Consultant and Coach with over 20 years of experience in managing operations and implementing data-driven projects across multiple industries. My expertise spans Power BI, Tableau, Looker, business intelligence, project management, data analytics, and process optimization, ensuring organizations can leverage data for smarter decision-making.
➡️ CERTIFICATIONS:
♦ Microsoft Certified: Power BI Data Analyst
♦ Project Management Professional (PMP)
♦ Six Sigma Green Belt
♦ Scrum Master
♦ Scrum Product Owner
➡️ EXPERTISE IN:
♦ Power BI – Integrating, preparing, modeling, visualizing, analyzing, securing, and distributing data
♦ Business Intelligence – Data-driven insights, reporting, and automation
♦ Project Management – Waterfall & Agile methodologies
♦ Lean Six Sigma – Process optimization and efficiency improvements
♦ Data Mining – Extracting, transforming, and analyzing large datasets
♦ Dashboard Design – Creating interactive, real-time analytics solutions
➡️ TOOLS & TECHNOLOGIES:
♦ Power BI Desktop, Power BI Service, Power BI Report Server
♦ Microsoft Excel & Power Query
♦ SQL Server – Data connections & queries
♦ DAX for Big Data – Advanced calculations & analytics
♦ R Script & RStudio – Statistical analysis & predictive modeling
♦ RapidMiner – Machine learning & data mining
♦ Data Integration – Connecting, extracting, cleaning, and organizing data from various sources, including Google
♦ Automation – Streamlining workflows with Power BI dashboards and reporting solutions
Power BI Portfolio & Blog
🔹 Power BI Samples: https://links.edds.com.pk/powerbi-samples
🔹 Power BI Blog Posts: https://www.edds.com.pk/category/blog/bi/microsoft-power-bi/
📌 Long-Term Engagement Terms: https://1drv.ms/b/s!AkmOjWjLHddxhKVBJj0rfUcTPGZ2gw?e=11z3SG
See the power of our Structured Data tutors through glowing user reviews that showcase their successful Structured Data learning journeys. Don't miss out on top-notch Structured Data training.
“Scott is an awesome and friendly guy who really knows his stuff about a lot of areas of Comp Sci and beyond. I'd highly recommend him for any help you need. Looking forward to my next session with him!“
Zeshan Rasul / Oct 2025
Scott Myran
Structured Data tutor
“Bryan was a great help, figured out the situation quickly, gave me good advice to fix my problem, when he realised there wasn't much more he could do at the moment, he suggested we break until I was able to get access to the service we needed. Highly recommend“
Ewan Manley / Oct 2025
Bryan Mayor
Structured Data tutor
“I struggled a lot with Leetcode and Dejan showed me how to study better and more efficiently. He showed me my gaps of understanding and gave me home practice to make the most of the sessions. He teaches really deep concepts but makes them easy to understand.“
Rikki W / Nov 2025
Dejan B.
Structured Data tutor
“He is very good with the tech stack and great at debugging. He clearly explains what works and what doesn’t in a particular scenario. He is patient, approachable, and always willing to help. His guidance has greatly improved my understanding of complex topics. He also offers valuable insights on best practices. Overall, he is an excellent mentor who creates a positive learning environment and consistently supports growth and skill development“
kumar p / Nov 2025
Olajide Olanrewaju
Structured Data tutor
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Frequently asked questions
How to learn Structured Data?
Learning Structured Data effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
Understand the basics: Start with the fundamentals of Structured Data. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Structured Data, laying a solid foundation for further growth.
Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
Seek expert guidance: Connect with experienced Structured Data tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
Join online communities: Engage with other learners and professionals in Structured Data through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Structured Data skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Structured Data in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Structured Data is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
How long does it take to learn Structured Data?
The time it takes to learn Structured Data depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
Beginner level: If you are starting from scratch, getting comfortable with the basics of Structured Data typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Structured Data’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Structured Data generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Structured Data, contributing to major projects, and possibly specializing in specific areas within Structured Data.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Structured Data. Engaging with new developments, tools, and methodologies in Structured Data is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
How much does it cost to find a Structured Data tutor on Codementor?
The cost of finding a Structured Data tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
Tutor experience: Tutors with extensive experience or high demand skills in Structured Data typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our Structured Data tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
What are the benefits of learning Structured Data with a dedicated tutor?
Learning Structured Data with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Structured Data, but exceling in a way that directly aligns with your objectives.
Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Structured Data can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
Career guidance: Tutors can also offer guidance on how to apply Structured Data in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in Structured Data in a structured, supportive, and effective environment.
How does personalized Structured Data mentoring differ from traditional classroom learning?
Personalized Structured Data mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Structured Data.