brown-thomas-data-acquisition-python

In this project, I have web scraped the data from the official Brown Thomas website using Python, stored it in Mongo DB and queried the database to answer 16 questions enhancing customer shopping experience

global-terrorism-data

This is a Tableau workbook showcasing five different visuals for data available on Global Terrorist attacks

image-classification-cnn

In this project, I classify images of different apple varieties using Convolutional Neural Networks

income-classification

In this project, I have predicted Income between two categories based on an individual's demographic and employment details using Logistic regression.

kpi-visualization

This is a Tableau workbook comparing KPIs for Volkswagen and Tesla from data gathered through annual reports

lead-scoring-predictions

In this project, we analyze a Lead Scoring dataset and help identify potential leads to predict future customers using the CRISP-DM methodology

pca-visualization

predictions_with_statistics

In this code, I have used Binomial and Time-series algorithms to made predictions and derive a forecast for the target variables

python-basics

Solving basic python questions for a fun refresh!

sonal-shetty

terrorism-data-warehouse

In this project, I have showcased creation of a Data warehouse for Global Terrorism data through ETL and SSIS using SQL. Further, I have created Tableau visualizations and SSRS reports to visualize the data. I have also done a comparative study for Graph databases using a BikeStore dataset in Neo4J

twitter-sentiment-analysis

In this project, I have done Sentiment analysis for user tweets for US Airlines. Exploratory data analysis, data cleaning and visualization, text processing, creating sentiment word clouds and applying Logistic regression and Naive Bayes are some of the steps followed in this project.

weather-analysis-statistics

I have created an API-based app which queries live hourly data and provides visual analysis for weather conditions