Data Analyst with 2 years of experience in the BFSI sector, specializing in data analytics, machine learning, and report automation. Proficient in SQL, Python, Power BI, and Excel, with hands-on expertise in platforms like Microsoft Azure, Azure Databricks, Microsoft Fabric and Postgres for models (regression, classification, clustering), data cleaning, segmentation, and designing data models to support data-driven decisions. Skilled in automating reports and visualizations to deliver actionable business insights that enhance operational performance.Functionalities:📌Data Cleaning: Ensuring clean, reliable data to support accurate, data-driven decision-making.📌Data Modeling and Segmentation: Designing and implementing data models and segmentation strategies for in-depth analysis and effective customer acquisition.📌Data Visualization and Reporting: Creating visually compelling reports and dashboards that effectively highlight key business KPIs, driving actionable insights.Technical:📌SQL: DML,DDL,DCL,TCL,Joins, CTEs , Queries/Subqueries,Window function/Ranks and partionals, Aggregate functions.📌 Python:Numpy,Pandas,Scikit-learn,Matplotlib📌Excel:Graphs and charts, Pivots, Formulas(Lookups, Conditional,Time, Arithmetic)📌 Machine learning: Regression models(linear, polynomial, ridge & Lasso) Classification Models(Decision Tree, SVM, KNN)Clustering Models(K-means) and Time series analysis.📌Statistics: Inferential Statistics(Statistical tests, hypothesis testing, estimations)Descriptive statistics (Central tendency, Dispersions, skewness & kurtosis), Data Distributions.