DATA ANALYST

Skilled in Python, proficient in conducting thorough Exploratory Data Analysis (EDA) and transforming features for valuable insights. Well-versed in employing techniques like feature selection and data transformation for reliable analysis. Experienced in using Python libraries for comprehensive data analysis, facilitating informed decision-making. Proficient in creating clear data visualizations that communicate findings effectively, enhancing data understanding for strategic decisions. (Learning Machine learning concepts and implementation at the moment)

Proficient in SQL, including dynamic queries and diverse joins. Expertise in data cleaning, transformation, and secure, optimized table design. Skilled in general analysis, ensuring data integrity through constraints and indexing. Advanced understanding of SQL syntaxes and applications.

Skilled in creating interactive dashboards using Power BI, proficient in using DAX code to manage calculations and manipulate data for effective analysis. Knowledgeable in data modeling techniques and their practical implementation within Power BI. Experienced in utilizing Power Query for data cleaning and transformation, ensuring data quality for accurate insights.

Proficient in Excel, handled the complete data workflow; meticulous cleaning, thorough preparation, and insightful modeling. Specialize in advanced formulas, DAX expressions for complex dataset insights, and transforming raw data into structured models for robust analysis. Skilled at creating impactful visualizations that enhance data storytelling and informed decision-making.