FDI Analytics

In this project, I developed a comprehensive Foreign Direct Investment (FDI) analytics dashboard to provide actionable insights on investment trends, sector performance, and regional inflows. Leveraging advanced data cleaning, transformation, and visualization techniques using Power BI.

Sales Insights

This is a project i did during my internship at Meriskill .It is a sales dashboard to analyse the top 5 products sold ,cities and revenue.

AirbnB Seattle Visualization

This project involves visualizing AirBnB data and answering various use cases for example: I want to start an AirBnb, What factors are involved? How much money can I get if I charge? When are people spending the most money on AirBnB?

Stack Overflow Developer Survey 2023

Stack Overflow Developer Survey is an annual, globally-conducted study that delves into various facets of the developer community. The results are a crucial resource for developers to stay up to date with the evolving developer experience, and to understand where tech might be going next.

Exploratory Data Analysis

Analysis on cardio_base.csv, cardio_alco.csv, covid_data.csv to answer questions

Research on Mental health challenges among university students

Mental health challenges students face in their day-to-day activities and their effects.

Data Science Job Postings on Glassdoor

In this project, I downloaded the data from Kaggle and applied Excel skills to clean and transform the data for analysis and visualization.

Movie Recommender

Developed a Movie Recommender system that suggests the top 5 movies similar to the one you choose. Leveraging content-based filtering, the system analyzes movie features like genre, cast, and plot to deliver personalized recommendations.

Spotify Recommender System Model

Developed a machine learning recommender system to enhance music discovery. It uses content-based filtering to recommend songs based on audio features like energy, tempo and danceability, and a hybrid approach that incorporates song popularity and release dates for personalized recommendations.