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.

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.

📊 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

Real-time Python dashboard that unifies fragmented public fuel station data into a searchable operational interface for logistics workflows and end users.

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.

A Power BI dashboard designed to analyze supply chain operations, track key performance indicators, monitor inventory performance, and generate actionable business insights.

End-to-end retail sales analytics workflow: Python, PostgreSQL, SQL, DAX, Power BI, and business insights.

README of my profile

Digital platforms today need more than static dashboards, they require adaptive systems that continuously learn from user activity. This project develops a behavioural intelligence framework that dynamically groups interaction patterns, surfaces critical risk indicators, and enables strategic actions to influence experience outcomes.

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.

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.

Covid-19 Analysis is a data-driven project that explores COVID-19’s global and country-wise impact. It features an interactive Dash-based dashboard for visualizing cases, deaths, vaccinations, policies, and mobility trends. Using machine learning, it provides 30-day forecasts and clustering insights. Built with Python, Dash, and Plotly.

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.

Turning agricultural data into actionable intelligence for scalable impact.

"A Looker Studio dashboard analyzing retail sales data."

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.

Completed "Data Visualisation: Empowering Business with Effective Insights" virtual internship by Tata Group via Forage.

Excel financial model — budget vs actual variance analysis, RAG framework, and stress test for a mid-market Indian manufacturing company. FY2023–FY2024.