Looking for a job

Trouble Mutuva

@troublemutuva

Message

Data Analyst specializing in statistical analysis, KPIs, time-series forecasting, and Power BI dashboards.

Mauritius

Message

What I'm looking for

Entry-level Data Scientist / ML / AI Engineer role, fully remote, open to contract or freelance. Hands-on with model development (XGBoost, LSTM, supervised & unsupervised ML), MLOps (FastAPI, Docker, AWS), and data analysis (Python, Power BI, Excel). Interested in FinTech, open to other domains. Based in Mauritius (GMT+4), strong overlap with Europe/Middle East/Africa.

MSc Artificial Intelligence & Machine Learning candidate (UTM) with a Statistics and Financial Mathematics background (BUSE). Hands-on experience building and deploying end-to-end ML systems — forecasting, classification, and NLP/RAG — using Python, FastAPI, Docker, and AWS. Strong grounding in AI and ML, and MLOps pipelines. Seeking entry-level Data Scientist / ML / AI Engineer roles, with particular interest in FinTech and remote opportunities.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst/Data Scientist

Current

Simbisa Brands Mauritius

Sep 2024 - Present (2 years 1 month)

Advanced use of Excel (XLOOKUP, automation) and Power BI dashboards to analyze turnover data, supporting delivery zone and operations approvals. Data cleaning and manipulation using Python (pandas, NumPy). Built a BI Data Connector: a custom Looker Studio Community Connector integrating a REST API, with JSON flattening, date-range filtering, and variance calculations.

Data Analysis KPIs Statistical Analysis Python Power BI DAX Machine Learning Looker

Education

Degrees, certifications, and relevant coursework

University of Technology Mauritius

Masters of Science, Artificial Intelligence with Machine Learning

2026 - 2027

Grade: Pending

Activities and societies: Proposed:Thesis research: applying LSTM, XGBoost, and reinforcement learning (PPO/DQN) to public transport demand forecasting for the Metro Express light rail system. Coursework spans deep learning, NLP, statistical modeling, and MLOps. Independent ML projects: RAG chatbot, MLOps pipelines, and BI data integration tools.

MSc program covering machine learning, deep learning, NLP, and applied statistics. Building practical experience through end-to-end ML projects — model development, deployment (FastAPI, Docker, AWS), and data pipelines — alongside academic coursework and ongoing dissertation research.