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I may be very slow to respond, reach out on linkedin.
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I may be very slow to respond, reach out on linkedin.
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Shotza247/README.md

Hi, I'm Jabulani Ndlovu👋

Data & AI Engineer Intern | Aspiring Agentic AI & Analytics Engineer

I build data-driven and AI-powered solutions that transform complex data into actionable insights. My experience spans enterprise analytics, data engineering, intelligent automation, AI agents, API integrations, and scalable data platforms. I am passionate about building trustworthy AI systems powered by strong data foundations.

💼 Experience

IBM — Data & AI Engineering Intern

  • Building enterprise data pipelines using IBM Watsonx.data, AI-enabled analytics workflows using IBM watsonx Orchestrate and watsonx.ai, intelligent automation solutions, and agentic systems that help demonstrate how data can be prepared, governed, integrated, and automated to support business outcomes.

🔧 Currently Working On

  • 📚 Back-End AI Engineering Intern — Starting 1 July with FlyRank.ai -- Objective : Full End-to-End Capstone Project

  • 📊 Data Analytics & Engineering — Local Data pipelines, Databricks pipelines, and building small ML/AI-enabled insights streamlit powered apps

  • 📈 Self-taught python — navigating the advanced features and libraries within python to elevate my current skill-set

  • 🌐 Personal brand — improving my writing (Documentation), speaking (Stakeholder/Business-value communication)

  • TODO: Building in public (Coming Soon...)

🚀 Current Career Focus

  • Agentic AI Systems
  • Analytics Engineering
  • Data Engineering
  • Data Science & Machine Learning
  • Intelligent Automation
  • AI Evaluation & Governance

🛠️ Technical Skills

Languages

  • Heavily Used Day-to-Day work:

Python SQL

  • Heavily Used for API's:

JavaScript C# HTML5 CSS3

Data & Analytics

  • Heavy Interaction:

Excel Pandas NumPy Matplotlib Seaborn Scikit-Learn

  • Foundational Exploration:

Power BI

Data Engineering

DB2 Watsonx.data Apache Spark Databricks Presto SQL ETL Pipelines REST APIs GraphQL MongoDB

AI & Machine Learning

Watsonx.ai Azure ML Studio LLMs Prompt Engineering AI Agents NL to SQL Model Evaluation

Frameworks & Platforms

.NET Android Studio Azure Azure ML Studio Databricks Watsonx.data Watsonx Orchestrate SQL Server MongoDB Supabase

Tools & IDEs

Visual Studio Git GitHub VS Code Jupyter

🌱 Currently Learning

Technology Focus IBM Tools
Python Python Data Enginering/Science/Analytics & Automation watsonx.ai L3
Azure Azure Fundementals AZ-900 Certification watsonx.data L4
Azure ML Studio Azure ML Studio Up-skill on Azure Data Science Solutions CP4D/ IBM Data Fabric / MDM
Databricks DataBricks Platform Playground watsonx Orchestrate
MongoDB MongoDB NoSQL DB for LLM/NLP/AI-infused Projects watsonx.data Intelligence/Integration L3
Supabase Supabase RDB (postgres arch) for Projects IBM BOB L3

📊 GitHub Stats

GitHub Streak

Top Languages My GitHub Stats

📡 How to Reach Me

LinkedIn Dev.to

Building intelligent systems starts with building trusted data foundations.

Pinned Loading

  1. California_Housing_PredictionV1 California_Housing_PredictionV1 Public

    Predicts California district-level house prices using census data — combining KNN imputation, feature engineering, and a Random Forest model (R² = 0.75) to help property businesses make faster, dat…

    Jupyter Notebook

  2. Chronic_Kidney_Disease_ClassV1 Chronic_Kidney_Disease_ClassV1 Public

    A machine learning project using anonymized blood sample data to classify and predict Chronic Kidney Disease across different age groups and medical aid membership bands.

    HTML

  3. GraphQL-Server-SetUp.Net GraphQL-Server-SetUp.Net Public

    This GraphQL project was part of an Employee Retention/Promotion POC & MVP, that would modernize HR processes in the Agentic age to be able to retain their Talent and also promote them incase someo…

    C#

  4. IBM-WxO_ADK_SetUp IBM-WxO_ADK_SetUp Public

    A beginner project demonstrating how to build a watsonx Orchestrate agent backed by an MCP server using the ADK. Covers the M+N integration pattern — agents connect to one MCP toolkit, the toolkit …

    Python