Time Series Analysis - Seasonal

A seasonal time series of Hotel Hospitality Industry Employees. This dataset contains the number of employees in thousands of persons as monthly averages from 1990-01-01 to 2018-12-01. The goal of this project is to predict and forecast the monthly number of employees.

Time Series Analysis - Non-Seasonal

The goal of this project is to predict and forecast daily return values for a particular stock. Given the highly volatile nature of stock data, we will fit a univariate GARCH model to achieve our goal of predicting the daily returns value to allow you to make statistically informed trades!

Statistical Analysis Case Study: Predicting the price of Flight tickets

Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical methods concepts to get insights about the data for prediction.

AirBnB Price Prediction

The ability to predict prices and features affecting the appraisal of property can be a powerful tool in a cash-intensive market for a lessor. Additionally, a predictor that forecasts the number of reviews a specific listing will get may be helpful in examining elements that affect its popularity.

Tableau Project

Churn Prediction

To build a classification system to predict whether a customer will churn or not based on the IBM Telecom Data from Kaggle. Technically, it is a binary classifier that divides clients into two groups-those who leave and those who do not.

Web Mining - Oracle Interviews data from Glassdoor

In this data analysis project, we embarked on a comprehensive exploration of Oracle's interview review data scraped from Glassdoor. Our objective was to gain valuable insights into the interview experiences of candidates applying for specific job postings at Oracle.

Malware Prediction

The project aims to build Classification models that predict Windows OS malware to assess system vulnerability and identify and patch weak points before an attack happens. Model performance will be compared, and the project will be performed on PYSPARK on GCP.

Regional Kannada Text-to-Image-Generation - Research Project

In this research project, a framework is proposed to formulate image generation conditioned on the text input. Converting regional language text descriptions into images using Stack Generative Adversarial Network(Stack-GAN) and Gated Recurrent Unit (GRU) using GPU for computation.

Fake News Detection

The scope of this project is to classify fake and true news. After performing an analysis on the dataset using two different vectorizers and two machine learning algorithms, the results are conveyed in the form of accuracy scores and confusion matrices.

Employee Attrition

This project analyzes employee attrition data to uncover key factors, predict turnover, and develop strategies for retention, ultimately enhancing organizational stability and performance.