PROFILE
Data Scientist and Analyst with 2+ years of experience in machine learning, automation and dashboard development. Worked across agriculture, public health, retail and finance, handling the full process from raw data to final output. Delivers clear outputs non-technical stakeholders can use directly, including dashboards, reports and deployed models.
Skills
- Programming & Analysis: Python (pandas, NumPy, scikit-learn), R, SQL, Excel
- Machine Learning & Deep Learning: Regression, Classification, Clustering, Neural Networks, NLP
- Visualisation & BI: Power BI, Streamlit, Matplotlib, Seaborn
- Data Workflows & Automation: Data cleaning, transformation, pipeline development, KoboToolbox, Make.com, Zapier
Awards
2nd Place, Kaggle Recommendation Competition
2025Finished 2nd out of 411 teams by building and optimising a high-performing collaborative filtering recommendation model.
ViewEXPERIENCE
Field Data Researcher
11/2023 – 02/2024
• Collected and digitised household data on farming practices and fuel usage, compiled findings into reports and handed results to the programme team to inform decisions.
• Led farmer training sessions on energy-efficient cooking practices, resulting in a 40% reduction in firewood use through adoption of the Jiko Koa stove.
• Supported a soil testing programme, using soil test results to guide crop planning decisions that increased farm productivity by 25%.
• Collaborated with agronomists and field teams to structure data collection processes, keeping results accurate, consistent and usable.
PROJECTS
Telco Customer Churn Prediction
PersonalBuilt an ML classification model predicting customer churn from usage and account data, achieving 79% accuracy in identifying customers likely to leave.
Customer Support & Banking Services Dashboard
PersonalBuilt a dashboard processing 30,000+ service cases across six cities, raising SLA compliance to 94% with a 92% overall resolution rate. 90% of pending cases met SLA. Spikes in failed transactions and fraud patterns were visible by branch.
Saudi Service-Request & Payout Portal
PersonalPower BI dashboard tracking 562,000+ SAR in payouts across 560 service requests, broken down by service type, region and month.
Stock Price Prediction & Technical Analysis Dashboard
PersonalBuilt a deep learning model for Google stock price prediction using 20 years of historical data, moving averages and volatility indicators. Deployed that model as a Streamlit dashboard for live forecasting.
View the projects