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Data Analyst with 3+ years in Business Intelligence & Machine Learning
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Chipego Mulendema is a mid-level Data Analyst with 3.6 years of experience in business intelligence and machine learning. She has a strong background in extracting, transforming, and analyzing large datasets using Python, SQL, and Power BI. Her expertise includes building data warehouse models, developing ETL pipelines, creating interactive dashboards, and performing statistical analysis to drive data-driven decision-making.
University of the Witwatersrand
Honours · Mathematical Statistics
August 1, 2024 – June 30, 2025
Mulungushi University
Bachelor of Science · Mathematics & Statistics
N/A – June 30, 2020
Mphando Technologies Limited
Data Engineer
November 1, 2025 – Present
Johannesburg, Gauteng, South Africa
Kion Consulting
Murex Analyst
January 1, 2024 – December 1, 2024
Johannesburg, Gauteng, South Africa
Zambia Statistics Agency
Junior Data Analyst
January 1, 2021 – December 1, 2022
Zambia
Mental Health & Burnout Prediction Using Statistical and ML Techniques
January 1, 2023 – December 31, 2023
• Analyzed a dataset of 10,000+ technology professionals to predict mental health risk and burnout likelihood. • Implemented and compared multiple machine learning models, including Decision Trees and regression techniques. • Achieved 89% prediction accuracy with a Decision Tree model, demonstrating strong model performance and interpretability.
Google Cloud Certified Associate Data Practitioner
Google Cloud
June 1, 2026 – Present
Microsoft Power BI Desktop for Business Intelligence
Udemy
June 1, 2026 – Present
Python for Machine Learning & Data Science
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across a statistics agency, a consulting firm, and a technology company, coupled with academic pursuits in mathematical statistics, indicates adaptability and a broad interest in data-driven roles. The project on mental health prediction shows an interest in impactful applications of data science. The continuous pursuit of certifications (Google Cloud, Power BI, Python ML) demonstrates a proactive learning attitude and commitment to professional development, aligning well with a culture of continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through root-cause analysis and anomaly detection. Experience in collaborating with business stakeholders and cross-functional teams indicates good teamwork and communication. The ability to manage multiple client deliverables suggests strong organizational skills and a results-oriented approach. The candidate's experience in automating reporting processes highlights an efficiency-driven mindset.