Bikila K.

Analyze data, uncover insights, & inform decision-making.Using statistical software like SPSS and Stata and Tableau or Power BI (Data visualization). As a data analyst, my services encompass a wide range of tasks related to data exploration, analysis, and visualization. Here are some key aspects of what I do: [login to view URL] Cleaning and Preprocessing: I ensure that data is accurate, complete, and ready for analysis by handling missing values, outliers, and inconsistencies. 2.Exploratory Data Analysis (EDA): I dive into the data to understand its patterns, distributions, and relationships. EDA involves creating visualizations, calculating summary statistics, and identifying trends. 3.Statistical Analysis: I apply statistical techniques to draw meaningful conclusions from data. This includes hypothesis testing, regression analysis, and ANOVA. 4.Predictive Modeling: Using machine learning algorithms, I build models to predict outcomes or classify data. Regression, decision trees, and neural networks are common tools. [login to view URL] Visualization: I create compelling charts, graphs, and dashboards to communicate insights effectively. Tools like Tableau, Matplotlib, and Seaborn come in handy. 6. Business Intelligence (BI): I develop reports and dashboards for stakeholders, helping them make informed decisions based on data-driven insights. 7. Domain Expertise: I specialize in specific industries or domains, such as finance, healthcare, marketing, or e-commerce. Remember, my role is to transform raw data into actionable knowledge, supporting evidence-based decision-making.