Analytically-driven Data Analyst with expertise in Python, SQL, and data visualization. Proven track record of optimizing marketing strategies through advanced statistical analysis, resulting in increased sales and reduced marketing spend.
Languages: Python, Java, C, SQL, PL/SQL, Scala, JavaScript, Spark, Hadoop
Packages: Pandas, NumPy, Data Visualization (Seaborn, Matplotlib), scikit-learn, TensorFlow, Keras
Tools: Tableau, PowerBI, Microsoft Excel (Macros, Formulas, Pivot, Lookups), Databricks
Employee Retention Analysis (Google Capstone Project) link
Utilized Pandas and scikit-learn for data cleaning, visualization, and model creation.
Achieved over 85% accuracy in employee attrition prediction using advanced ML models.
SQL Data Analysis Project: E-commerce Company link
Developed a comprehensive E-commerce data analysis project.
Modeled entities, established PL/SQL database, conducted insightful analysis through SQL queries.
Integrated database with Java for dynamic query execution.