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A 4-week structured Data Analytics internship portfolio featuring end-to-end data projects. Including data cleaning, exploratory data analysis (EDA), database management, and advanced SQL querying to uncover actionable business insights.
This project integrates stock market analysis, tweet sentiment analysis, and stock price forecasting using ARIMA and GRU. It fetches data from MySQL, MongoDB, and streams via Kafka. YCSB benchmarks MySQL and MongoDB performance. The system predicts stock prices and analyzes public sentiment.
Developed an end-to-end insurance analytics dashboard using Excel, SQL Server and Power BI to analyze 10,000 insurance policy records. The project focuses on claim trends, premium analysis, policy performance and customer demographics to generate actionable business insights.
Interactive Power BI dashboard analyzing Superstore sales performance, profit trends, customer segments, and regional business insights for data-driven decision making.
📊 Developed an interactive Flight Delay Statistics Dashboard using Python, Dash, Plotly, and Pandas to analyze U.S. airline delays (2010–2020). Designed a dark-themed, responsive app with real-time insights across delay causes. Highlights my data visualization, EDA, and dashboarding skills
A Power BI dashboard designed to analyze supply chain operations, track key performance indicators, monitor inventory performance, and generate actionable business insights.
Real-time Python dashboard that unifies fragmented public fuel station data into a searchable operational interface for logistics workflows and end users.
Developed an interactive Power BI dashboard by integrating transaction and customer data from a SQL database to provide real-time insights. Streamlined data processing to monitor key performance metrics and trends, sharing actionable insights with stakeholders to support data-driven decision-making.
Customer Support Analytics Dashboard developed using Microsoft Excel to analyze ticket volume, urgency trends, resolution time, and customer support performance.
This project focuses on analyzing business sales data to extract meaningful insights and support decision-making. It includes data cleaning, exploratory data analysis, customer and category-wise sales analysis, and the development of an interactive business dashboard to visualize key performance metrics.
End-to-end data engineering project for a fictional subscription-based company (SubTrak). Includes OLTP database modeling, ETL pipelines, dbt transformations, analytics warehouse, and dashboards.
Data Analysis project using SQL, Python, and Power BI to analyze customer behavior, uncover purchasing trends, perform data cleaning, and build interactive dashboards for business insights.
I conducted an extensive analysis of Disney movies using Power BI, creating interactive dashboards to explore revenue trends, genre profitability, top-grossing films, and the impact of MPAA ratings. This project enhanced my data analysis, visualization, and storytelling skills, showcasing my ability to leverage Power BI for impactful data-driven in
This repository analyzes Chicago crime data to uncover patterns, hotspots, and trends. Using Python for preprocessing and Tableau Public for visualization, the project delivers actionable insights to support policymakers, researchers, and law enforcement in enhancing public safety.
An interactive Covid-19 dashboard built using Advanced Excel, SQL (SSMS), and Tableau. Analyzes global Covid deaths and vaccination data from Kaggle to visualize trends, vaccine impact, and correlations through interactive maps and charts for actionable insights.