Motivated Data Analyst with hands-on experience in data collection, cleaning, and visualization. Proficient in Python, R, SQL, Power BI, and Excel, with a strong foundation in statistical analysis, predictive modelling, and dashboard reporting. Skilled in turning raw data into actionable business insights and collaborating with cross-functional teams in remote, on-site, and hybrid environments. Eager to contribute to data-driven decisions and continuous improvement initiatives in a dynamic team.
Collected, cleaned, and transformed national road safety data. Designed interactive dashboards and reports to identify high-risk zones and underlying trends, providing data-driven recommendations.
Developed and tested deep learning models to classify stages of coronary heart disease. Applied preprocessing, model training, and performance evaluation techniques to improve prediction accuracy.
Designed and normalized a relational database for ticketing and event management. Created ER diagrams, implemented complex SQL queries for data retrieval, and optimized reporting logic for real-time decision-making.