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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.
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.
Customer Support Analytics Dashboard developed using Microsoft Excel to analyze ticket volume, urgency trends, resolution time, and customer support performance.
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.
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.
An end-to-end customer analytics project using Microsoft Excel, SQL, and Power BI to analyze customer behavior, engagement patterns, spending, satisfaction, and purchasing activity.
An interactive Power BI dashboard project focused on BMW car sales. It showcases dynamic time intelligence, revenue insights, and high-level executive visuals powered by advanced DAX measures. Designed to deliver clear, actionable insights for data-driven decisions.
A cloud-based SOC Detection Engineering & Threat Hunting Lab built using Splunk, Sysmon, Windows Event Logs, and GCP to simulate real-world attacks, monitor endpoint telemetry, create detections and alerts, perform incident investigation, and analyze attacker behavior using SIEM and threat hunting techniques.
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.
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.
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.
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.
AI-Powered Personal Expense Analyser: Developed an interactive dashboard using Python and Streamlit to analyze spending behavior, visualize expense trends, detect anomalies, and generate AI-driven financial recommendations from transaction data.
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.
A business intelligence solution that transforms occupational health and safety data into actionable insights using Power BI. Features interactive dashboards for incident analysis, risk assessment, PPE compliance, LTIFR/TRIFR monitoring, and executive safety reporting to drive proactive decision-making.