About
I am an AI & Data Science undergraduate passionate about transforming data into actionable business insights through analytics, visualization, and machine learning. Recently, I developed an Electronics Distribution Analytics Dashboard in Power BI featuring interactive KPI tracking, profitability analysis, product performance monitoring, regional insights, dynamic DAX measures, and advanced dashboard interactions using bookmarks, tooltips, and field parameters. I have hands-on experience with SQL, Excel, Power BI, Python, and data analysis techniques. In addition to analytics, I have also built an end-to-end Customer Retention Intelligence System for churn prediction involving data preprocessing, exploratory data analysis, feature engineering, machine learning, model interpretation using SHAP, and deployment using Streamlit. I enjoy working with data across the entire analytics lifecycle—from cleaning and modeling data to building dashboards and generating insights that support decision-making. Skills: Power BI, SQL, Excel, Python, Data Analysis, Data Visualization, DAX, Power Query, Machine Learning, Scikit-learn.
