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2-tier-application-on-aws-using-terraform

The two-tier architecture typically consists of a web tier and a database tier. The project emphasizes the use of custom Terraform modules to create and manage infrastructure components.

bike-sales-analysis

blinkit-analytics

This project involves creating interactive dashboards to analyze sales data over a decade. The dashboard focuses on items types, displaying key metrics like total sales, sales trends by year, fat content distribution, and location type.

covid19-data-analysis-using-python

data-analysis-using-pyspark

Working with pyspark module in python and using google colab environment in order to apply some queries to the dataset. The dataset consist of two csv files listening.csv and genre.csv. Also, visualizing query results using matplotlib.

data-pipeline-with-aws-dynamodb

This project uses AWS Lambda to fetch live weather data from an API and store it in DynamoDB. Changes in DynamoDB trigger another Lambda function to format and store the data in CSV files on Amazon S3. Snowflake then automatically ingests this data from S3 using Snowpipe for real-time analysis and visualization, ensuring efficient data processing

day3folder

demo_25

docker_repo

e-commerce-website-with-react-strapi-stripe

excel_project

The Vinda Store Annual Report 2022 project involved cleaning and organizing sales data, including handling missing values, categorizing age groups, and removing duplicates. Pivot tables were created to summarize the data, which was then visualized through a comprehensive dashboard with interactive slicers for detailed analysis.

exploratory-vs-confirmatory-data-analysis-using-python

fifa20-data-exploration-using-python

finding-sorting-filtering-data-in-microsoft-excel

indian-startup-funding

infosys-replica

ipl-data-analysis-project-using-apache-spark-on-databricks

This project focuses on performing an end-to-end analysis of IPL data using Apache Spark on Databricks. It begins with setting up a Databricks environment, followed by ingesting and exploring the IPL dataset.

ipl-data-analysis-with-powerbi

This project involves integrating live cricket score APIs into Power BI to enable real-time updates of match data. Data is fetched using Python in Power BI for cleaning and transformation. Within Power BI, DAX measures are created to calculate various cricket statistics like strike rate and economy, enhancing the dashboard's interactivity.

jquery-work

Simple demo file with different features of ajax and jquery

layoff_analysis

This Streamlit app is designed for Layoff Analysis. It allows users to explore and analyze layoff data from different perspectives, including overall analytics, country-specific insights, and individual company details.

mastering-sql-joins-in-postgresql

This project involves retrieving and analyzing data from multiple database tables using various SQL join operations. It includes tasks such as using INNER, LEFT, and RIGHT JOINs, handling duplicates, and combining joins with WHERE clauses and aggregate functions. Additionally, it explores joining more than two tables to understand complex relations

maven-java-sample-app

maven_with_param

maven_with_param_

photo-collage-tool

processing-data-with-python

review-scrapper-aws

rottentomatoes

sentimental-analysis-on-tweets

streetfighterreport

PowerBI Report