Car Insurance Analysis (Onyx DataDNA Challenge)
Analyzed claim behavior to identify patterns that can support risk assessment and management.
Data & BI becomes useful when it helps people understand what is happening and what to do next. My work spans data analytics, BI and data management, using SQL, Python, Power BI and Excel to turn data into useful insights and reporting solutions.
I also have exposure to machine learning, giving me a broader understanding of how data can be used for analysis, reporting and predictive applications.
Analyzed claim behavior to identify patterns that can support risk assessment and management.
Used data preprocessing, DAX measures and Power BI visualizations to turn energy consumption logs into useful insights for planning.
Analyzed call center performance to understand agent effectiveness and customer interaction handling.
Developed a dashboard to analyze customer data and identify potential customers from a new 1,000-customer list.
Explored factors affecting used car prices and built a machine learning model to predict selling prices.
Applied machine learning algorithms to classify breast cancer diagnoses as benign or malignant.
Cleaned and organized Nashville Housing data using SQL.
Used SQL to explore COVID-19 cases and deaths across countries and continents, with results visualized in Power BI.
Analyzed four years of sales data to understand country, sales team and product performance.
Analyzed booking history across different countries and hotels over a ten-year period.
Explored changes in cardiovascular disease deaths, risk factors and relationships with GDP per capita.
Analyzed population trends around the world and explored the factors behind population changes.
Group project exploring late-night departing runways used by aircraft at San Francisco International Airport.
Have a question, want to discuss a project, or just want to connect? Feel free to reach out via email.