👋 I’m Fari, A Continuous Learner Building in Public, Founder and Creator of Data Inside Data™.😎

I’m a curious‑minded technologist with a deep love for every layer of the tech stack — from IT fundamentals and cybersecurity to cloud engineering, data science, automation, and applied analytics. My journey is driven by one core belief: learning is a lifelong practice, and the best way to grow is by building real systems, solving real problems, and sharing the process openly. Through Data Inside Data, I explore new tools, new ideas, and new ways of solving real problems, turning hands‑on experimentation into practical, repeatable workflows anyone can learn from.

Data Inside Data is where I document how I design, build, and ship systems — spanning development, data, infrastructure, and operations — from early experiments to production-ready workflows.

It’s a hands‑on, project‑driven blog for people who want to learn by doing. Whether you’re just starting out or already deep in the tech game, my goal is to break down complex concepts into clear, practical, enterprise‑grade workflows you can use in your own projects.

🍜I’ll be sharing:

  • Real projects that reflect my experience and ongoing pursuits
  • Deep‑dive breakdowns of each project’s development process
  • Beginner‑friendly tutorials for those entering tech
  • Advanced content for experienced builders
  • Tools, diagrams, and workflows that mirror real‑world engineering environments

This blog is both a teaching space and a living archive of my own growth — a place where I document what I’m learning, what I’m building, and how I’m evolving as a technologist.

This site is intentionally hands-on, architecture-aware, and grounded in real-world problem solving, not theory alone.

My work lives at the intersection of:

  • Data science, analytics engineering, & databases
  • Full-stack & systems development (web, tooling, automation)
  • Cloud, DevOps/DevSecOps
  • IT & infrastructure (hardware, OS, networking)
  • Documentation-driven engineering
  • Impact-oriented systems (education, nonprofit, etc.)

🛠️ 2020 → Present

⚙️ I’m actively building a visual map of my technical journey — showing how my skills evolved across IT & cloud infrastructure, data science, and applied analytics.

flowchart TB

  %% -------------------------
  %% Track 1 — Foundations
  %% -------------------------
  subgraph T1["IT Foundations"]
    A["2020 | Windows Server 2012R2"]
    B["2023 | BMCC A+ Training"]
    C["2024 | AWS Racing League"]
    D["2024 | AWS CCP Training"]
    A --> B --> C --> D
  end

  %% -------------------------
  %% Track 2 — Software Dev
  %% -------------------------
  subgraph T2["Software Dev"]
    E["2024 | Revature Java + SQL"]
  end

  %% -------------------------
  %% Track 3 — AI & Data
  %% -------------------------
  subgraph T3["AI & Data"]
    X["2023 | Fullstack Academy<br/>Data Analytics Cohort"]
    F["2024 | Udacity AI/ML Nanodegree"]
    G["2025 | PerScholas (CompTIA A+)"]
    H["2025 | The Knowledge House (TKH)<br/>Data Science Fellowship"]
    X --> F --> G --> H
  end

  %% -------------------------
  %% T4 - My Tech Blog
  %% -------------------------
  subgraph T4["My Tech Blog"]
    I["2026 | DataInsideData.com Launch"]
  end

  %% -------------------------
  %% Cross-track progression
  %% -------------------------
  D --> E --> X
  H --> I

📌 This diagram evolves as I add milestones. It’s a systems map of my path, not a static timeline.

🏅 Certifications & Credentials

⚒️ These credentials reflect both formal training and hands-on application across data, cloud, and infrastructure.

☁️ AWS Certified Cloud Practitioner

Issued: March 2025

  • Core AWS services
  • Cloud security & shared responsibility
  • Cost-aware infrastructure design

📄 View Certificate (PDF)

🛠 CompTIA A+ Certification

Issued: March 2025

  • Hardware & operating systems
  • Networking fundamentals
  • Troubleshooting & system reliability

📄 View Certificate (PDF)

🎓 The Knowledge House Fellowship — Data Science Track

New York City 2025 Cohort

An intensive fellowship focused on:

  • Applied Python & SQL
  • Machine learning foundations to expert
  • Real client-facing analytics projects
  • Communicating insights to non-technical stakeholders

🌐 The Knowledge House

📊 Google Data Analytics Certificate

Coursera Professional Certificate

Focus areas:

  • Data wrangling & analysis
  • SQL & dashboards
  • Business-focused insights

🔗 Program details

🧭 How to explore this site

  • Projects → Architecture, systems, and case studies
  • Posts → Tutorials, breakdowns, and lessons learned
  • Start Here → Guided entry points based on your goals

🤝 Let’s connect

If you’re interested in collaboration, consulting, or just exchanging ideas:

📩 visit the Contact page.