Mogoshadi Nyeleti Phaladi
Junior Data Engineer
Sandton
Summary
BSc IT (Data Science) graduate with a 78% average and experience as a Junior Data Engineer in an AI/ML-focused work-integrated learning programme. Skilled in building and maintaining data pipelines, ETL/ELT workflows, and preparing structured datasets using Python and SQL for analytics and machine learning use cases.
Experienced in working with both technical and non-technical stakeholders to understand requirements and deliver data-driven solutions. Passionate about transforming raw data into meaningful insights that support decision-making, with a strong interest in data engineering, analytics, and business intelligence.
Overview
1
1
year of professional experience
Work History
Junior Data Engineer (AI/ML Focus) WIL Programme
CCI Global
03.2026 - Current
- Designed and maintained automated data pipelines to ingest, clean, and transform large datasets for analytics and machine learning use cases
- Integrated data from multiple sources (APIs, databases, and cloud platforms) into centralized systems using batch and stream processing
- Developed and optimized ETL/ELT workflows to support reporting, operational processes, and ML models
- Built and implemented data models to improve data accessibility, structure, and performance for analytics and feature engineering
- Prepared datasets for machine learning, including feature engineering, data validation, and training/testing dataset creation
- Supported MLOps processes, including model training, deployment, monitoring, and automated retraining workflows
- Monitored and optimized pipeline and query performance to improve efficiency and reduce processing time
- Collaborated with cross-functional teams and translated business requirements into scalable data solutions, communicating insights to non-technical stakeholders
Project Lead (Ctrl Alt Elite)
Eduvos
06.2025 - 11.2025
- Engineered robust pipelines to ingest, filter, and preprocess noisy social media data from PRAW API and Academic Torrents, enhancing data quality for analysis.
- Data Storytelling: Designed and deployed an interactive Streamlit dashboard that visualizes sentiment trends and topic models, empowering non-technical users to extract insights from complex NLP data
- Data Engineering: Engineered robust pipelines to ingest, filter, and preprocess noisy social media data sourced via PRAW API and Academic Torrents.
- Organized and conducted regular project status meetings, improving team alignment and project transparency.
Education
Bachelor of Science - Information Technology
11-2025
- Performance: Distinction level with a final average of 78%
Skills
Programming & Data: Python (data processing, scripting, analysis), SQL (data extraction, joins, aggregation, querying), R (basic analysis)
Machine Learning: Natural Language Processing (NLP), Classification Models (SVM), Feature Engineering, Model Deployment
Data Analytics & Visualization : Excel (analysis and reporting) , Streamlit, Power BI, Matplotlib
Data Engineering: Large-scale data acquisition, Data Cleaning, Pipeline Engineering
Soft Skills: Analytical Problem-solving, Time Management, Stakeholder communication, Collaboration
Accomplishments
- Top 20%: SA Youth Problem Solver Challenge 2025.
- Business administration Skills Programme (SAQA-aligned, NQF Level 4, 41 Credits) | CCI Global | 2026
- Languages: English, Afrikaans and Sepedi
- Logistics: Driver's License and Car
Timeline
Junior Data Engineer (AI/ML Focus) WIL Programme - CCI Global
03.2026 - Current
Project Lead (Ctrl Alt Elite) - Eduvos
06.2025 - 11.2025
Eduvos - Bachelor of Science, Information Technology