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Data Analysis and Engineering

Extracting Actionable Intelligence from Raw Data

E-commerce Customer Spending Analysis

E-commerce Analysis
Business Intelligence & Statistical Insights

Extracted actionable intelligence regarding customer behavior and revenue trends. Includes multivariate relationship exploration using Seaborn and statistical reporting with NumPy.

Pandas NumPy Seaborn Business Reporting

Segmentation, Forecasting & Dashboard

Data Science Tasks
K-Means Clustering & Time Series (ARIMA)

Unsupervised learning for customer segments (K-Means) and energy consumption forecasting. Developed a fully interactive Streamlit dashboard for business KPIs using Plotly.

Scikit-learn Streamlit ARIMA Plotly

Predictive Modeling: Loan & Risk

ML Internship
Multiple Classification & Regression Models

End-to-end ML tasks: Credit risk (Logistic Regression), Bank churn (Decision Trees), and Insurance claim amount prediction (Linear Regression) with evaluation metrics.

Random Forest Logistic Regression EDA

ETL & Master Data handling (120k+)

Data Analyst Work
ETL, Power Query & SQL Joins

Handled real-world corporate data (Excelerate). Performed massive data cleaning, created master tables with 50+ features, and implemented complex PostgreSQL joins for multi-cohort analysis.

PostgreSQL ETL Power BI Excel