Cromwel Salim

Results-driven Statistician and Data Analyst with a BSc in Statistics from Pwani University (2021) and over four years of hands-on experience in statistical modeling, data analysis, and machine learning. Proficient in transforming complex, high-volume datasets into actionable insights that drive informed decision-making. Skilled across the full data pipeline — from data collection, cleaning, and exploratory analysis through to predictive modeling, visualization, and reporting.

Adept at applying machine learning techniques to solve real-world problems across sectors including healthcare, finance, and socioeconomic research. Combines deep statistical knowledge with strong communication skills to present findings clearly to both technical and non-technical audiences.

Data Analyst & Machine Learning Practitioner - Freelance / Self-Employed

(2023-01)

• Design and execute end-to-end data analysis pipelines — from raw data ingestion and cleaning through to modeling, visualization, and reporting.
• Develop and deploy machine learning models (classification, regression, clustering) using Python (scikit-learn, pandas, NumPy) to solve client-specific predictive problems.
• Perform advanced statistical analysis including hypothesis testing, ANOVA, regression modeling, and time series forecasting.
• Build interactive dashboards and data visualizations using Tableau, Power BI, and Excel to communicate insights to stakeholders.
• Conduct feature engineering, data preprocessing, and model evaluation (cross-validation, ROC/AUC, RMSE) to optimize model performance.
• Deliver data-driven reports and recommendations across healthcare, finance, and socioeconomic research domains.
• Built predictive classification models achieving above 85% accuracy on client datasets using ensemble methods (Random Forest, Gradient Boosting).
• Reduced data processing time by 60% through automated Python ETL pipelines replacing manual Excel workflows.
• Delivered 20+ statistical analysis reports and ML model summaries for academic and business clients across multiple industries.
• Developed dynamic Excel dashboards with pivot tables, VBA macros, and advanced formulas that enabled real-time KPI tracking for clients.

Statistical Research & Data Analysis Consultant - Self-Employed

(2021-01 - 2023-12)

• Conducted rigorous quantitative and qualitative research projects across healthcare, social sciences, and economics sectors.
• Applied statistical methods — descriptive statistics, inferential analysis, regression, and ANOVA — using R, SPSS, and Excel.
• Designed survey instruments, sampling frameworks, and data collection methodologies aligned with research objectives.
• Cleaned, validated, and transformed raw datasets in Excel and Python, ensuring data integrity prior to analysis.
• Produced comprehensive research reports, dissertations, and technical documentation with clear data narratives.
• Assisted academic clients with statistical interpretation, results write-up, and visualizations for dissertations and journal articles.
• Successfully completed 50+ research and statistical analysis projects spanning healthcare data, socioeconomic studies, and predictive analytics.
• Developed reusable Excel templates with embedded statistical functions, reducing client turnaround times significantly.
• Built time series forecasting models in R that supported academic publications in regional economic research.

Bachelor of Science - Statistics - Pwani University (2021-12)