I am a Data Analyst passionate about turning raw data into actionable insights that drive business decisions. Experienced in data cleaning, transformation, and statistical analysis, I build interactive dashboards and visualizations to help teams make informed choices.
Master of Technology (M.Tech) in Cyber SecurityCGPA: 8.46 out of 10Taken Courses:
Extracurricular Activities:
Thesis:Design and development of smart contract system for blockchain based applications | ||||||||||||||
Bachelor of Technology (B.Tech) in Computer Science and EngineeringCGPA: 7.43 out of 10Extracurricular Activities:
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MGM Higher Secondary School2016-2017 Class XII (ICSE Board) | ||||||||||||||
MGM Higher Secondary School2014-2015 Class X (ICSE Board) |
SayingsSeeker is a dynamic web application designed to provide users with a vast collection of motivational and inspirational quotes. Built using React, the app offers a seamless and engaging user experience.
CredSafe is a secure and user-friendly password manager designed to help users generate, store, and manage their passwords with ease. Built using modern web technologies, CredSafe offers a seamless experience for safeguarding sensitive information.
Explored and analyzed COVID-19 datasets using SQL to uncover insights on cases, deaths, and vaccination trends. Worked with raw data from Excel files and performed data cleaning, aggregation, and filtering to generate meaningful reports. The project demonstrates hands-on experience in SQL data exploration, data analysis, and handling real-world public health datasets. Skills used => Joins, CTE’s, Temp Tables, Windows Functions, Aggregate Functions, Creating Views, Converting Data Types.
Cleaned and transformed raw housing dataset using SQL to ensure accuracy, consistency, and reliability for analysis. Applied techniques such as handling null values, removing duplicates, standardizing date formats, splitting and updating columns, and correcting data types. The project highlights practical data cleaning steps essential in real-world analytics workflows. Skills used => Joins, CTE’s, Aggregate Functions, String Functions, Date Functions, Data Type Conversions, Updating and Altering Tables.
Developed a comprehensive suite of SQL scripts aimed at data exploration, analytics, and reporting.This project encompasses a variety of analyses, including database exploration, measures and metrics, time-based trends, cumulative analytics, segmentation, and more. Each script is designed to assist data analysts and business intelligence professionals in efficiently exploring, segmenting, and analyzing data within relational databases.
Developed a Python-based web scraping tool to extract Amazon product data, including titles, prices, ratings, and reviews. This project demonstrates techniques for web scraping, data extraction, and storage using libraries like BeautifulSoup and Pandas. It can be used for product analysis, price tracking, and market research.
Designed and developed a Business Intelligence dashboard to analyze sales performance using Power BI. The project includes KPIs such as revenue, profit, and growth, along with product, customer, and regional insights. It demonstrates data cleaning, modeling, and visualization techniques for data-driven decision-making.
Built a BI dashboard analyzing the dynamics of the U.S. healthcare industry. Included metrics on market size, growth trends, payer mix, and cost drivers. Data modeling, visualizations, and schema design support stakeholder insights on policy, costs, and industry structure.
Developed an interactive HR analytics dashboard to visualize workforce metrics such as employee demographics, attrition trends, recruitment efficiency, and performance insights. Built using Power BI, this project helps HR teams make data-driven decisions.
Developed an interactive Power BI dashboard analyzing global survey data of data professionals. The project explores demographics, career satisfaction, salary trends, programming language usage, and career transitions to provide actionable insights for data enthusiasts and HR teams.