Hi There,
I'm Siyamthanda Amahle Buthelezi
i am into
Hi There,
i am into
I bridge the gap between advanced Data Science and Salesforce Engineering to build secure, scalable, and predictive data ecosystems. Rather than just analyzing data, I engineer the backend architecture, machine learning models, and automated ETL pipelines that turn raw system inputs into proactive business strategies. My work focuses on maximizing system native efficiency, ensuring strict data compliance (POPIA/GDPR), and eliminating external security dependencies. 🔧 CORE SPECIALTIES • Salesforce Engineering: Apex, SOQL, Native Flows, Custom Staging Objects, Bulk Operations. • Data Science & ML: Python (Scikit-Learn, Pandas), Feature Engineering, Predictive Churn Modeling. • Business Intelligence & ETL: Power BI, Power Query, Automated PII Masking, Runbook/SOP Authoring. • Integration & Automation: Simple-Salesforce, Power Automate, Synatic/LinkServ Pipeline Monitoring. 💡 PROVEN IMPACT • Machine Learning: Built a predictive churn model with 97% recall, generating risk scores for 16,000+ active profiles to drive proactive retention. • System Architecture: Evolved manual operations into secure, native Salesforce architectures—writing custom Apex and Flows to eliminate external dependencies. • Data Governance: Engineered Python-based ETL pipelines with automated PII masking algorithms to guarantee strict POPIA compliance prior to system ingestion. • Business Intelligence: Analyzed 96,000+ data events to map user lifecycles and uncover critical structural anomalies using Power BI. I thrive at the intersection of code, data pipelines, and cloud architecture. Let’s connect if you are looking to scale your Salesforce data infrastructure or build predictive operations.
Position: Salesforce Data Engineer
Phone : +27 73-020-3572
Email : siyamthanda917@gmail.com
Location : South Africa
ReactJS
JavaScript
Python
GitHub
Firebase
NodeJS
SQL
Spring Boot
Figma
CSS
Salesforce
PowerBI
PostgreSQL
Microsoft Excel
Microsoft Power Automate
Microsoft SharePoint
Visual Studio Code
R
Tableau
Google Sheets
Google Slides
Learning is a treasure that will follow it's owner EVERYWHERE.
University Of Zululand (2022-2024)
Completion certifications that validate my skills and knowledge.
A web application designed for a local restaurant that allows for users to reserve tables and view menu options seamlessly.
A biometric attendance system utilizing Machine Learning (SVM) and Python to automate secure student logging and real-time data management.
A safe, anonymous online support community where people can share their stories, struggles, and experiences with others who understand.
A web application that provides real-time statistics on COVID-19 cases worldwide.
A simple web application that allows users to search for current weather information by city name.
A simple, interactive, two player Tic-Tac-Toe game with a clean and responsive design.
A simple, interactive, two player football game.
-Delivered excellent customer service and operated POS systems.
-Managed inventory, performed IBT transfers, and supported marketing displays.
-Handled stock logistics, including heavy lifting and organization.
-Assisted with store renovation, painting, and logistics.
-Completed a job simulation where I built a web application using React as a front-end engineer at Skyscanner.
-Developed a page for picking a travel date using Skyscanner’s open-source Backpack React library.
-Customised my application and ran automated tests to ensure it rendered properly
-Completed a job simulation involving Data Management skills for Commonwealth’s Data Science Team.
-Demonstrated proficiency in creating data engineering pipelines to aggregate and extract valuable insights from datasets, optimizing data-driven decision-making.
-Acquired skills in anonymizing personal data within datasets, ensuring compliance with data privacy regulations.
-Proposed effective data analysis approaches, particularly related to social media, and demonstrated the ability to design well-structured databases for efficient information management.
-Completed a Deloitte job simulation involving data analysis and forensic technology.
-Created a data dashboard using Tableau and used Excel to classify data and draw business conclusions.
-Completed a job simulation focused on Data Analytics and Commercial Insights for the data science team.
-Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights and deliver data-driven commercial recommendations.
-Extended analytical capabilities to identify benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making.
-Leveraged acquired data analytics and insights from previous tasks to create comprehensive reports for the Category Manager, facilitating informed strategic decisions and enhancing commercial applications.
-Predictive Modeling & Machine Learning: Developed a predictive churn model using Python (Scikit Learn) to flag at-risk member segments. Engineered 15+ behavioural features (giving frequency, lost opportunities) to achieve 97% recall, generating 0-100 risk scores for 16,000+ active profiles to guide proactive retention strategies.
-Data Analysis & BI: Analyzed 96,000+ historical health/donor records over 3 years, performing rigorous root cause analysis. Built statistical models and interactive Power BI dashboards to identify structural behavioural anomalies (e.g., the Onboarding Cliff), translating complex health data trends into executive insights.
-Automated ETL & Data Privacy: Engineered robust Python data pipelines (Pandas, XlsxWriter) to extract, clean, and transform raw CRM exports. Implemented automated PII masking algorithms for sensitive data (Credit Cards, IDs) to maintain strict POPIA compliance prior to system ingestion.
-Salesforce Automation & Integration: Identified system inefficiencies and independently architected native CRM automations (Apex, Flows, SOQL). Transitioned manual data operations into automated, one-click processes, demonstrating high ownership from problem framing through to live deployment.
-Process Optimization: Engineered an end-to-end request management system using Power Automate and SharePoint, featuring role-based routing and automated notifications, reducing administrative overhead.
-Runbooks & Operational Documentation: Authored comprehensive technical Runbooks and Standard Operating Procedures (SOPs) for complex data pipelines and ML workflows, ensuring seamless operational continuity and minimal downtime during handovers.
-System Monitoring: Proactively monitored batch transaction pipelines (Synatic/LinkServ), identifying and resolving data interruptions to ensure continuous, automated system processing.