Aleksandar Opacic

A proactive analytics professional who thrives on turning complex challenges into streamlined processes and clear insights. Known for driving audit efficiencies in a credit‑union environment through meticulous attention to detail and a collaborative, solution‑oriented approach. A natural communicator who partners seamlessly with teams and stakeholders to translate data into impactful decisions and foster continuous improvement across operations.

Statistics Research - University of Maine

• Performed statistical analysis on a dataset related to sleep efficiency, utilized R to manage and manipulate the data set
• Employed methods such as two-sample t-tests, multiple linear regression, and chi-squared tests of independence to evaluate the impact of age, gender, and lifestyle habits on sleep quality and efficiency
• Managed data preparation processes including data cleaning, transformation, and missing data handling to ensure accurate and efficient analysis workflow

Time Series Analysis (Capstone) 

• Conducted time series analysis using ARIMA and Regression models in R to forecast weekly vault cash to improve operational efficiency and liquidity management
• Performed EDA including visualization, autocorrelation analysis, and model diagnostics to identify key seasonal patterns and trends influencing cash management decisions