Explore a curated selection of my work in data analytics, machine learning, deep learning, and more. Click on any project to learn details, see code, or try live demos.
Data exploration, visualization projects python.
Analysis of Fandango's ratings and the implications on movie reviews. This project explores the discrepancies in ratings and their impact on audience perception.
This project provides an in-depth exploratory data analysis (EDA) of the Netflix Titles dataset. The analysis uncovers trends, patterns, and insights about the content available on Netflix, including movies and TV shows from around the world.
Data analytics dashboards with python and streamlit.
The COVID-19 Data Analysis Dashboard is an interactive web app for exploring, visualizing, and forecasting global COVID-19 trends using data from Our World in Data. Users can analyze country-level stats, compare regions, track vaccinations, and detect anomaliesβall in one place.
An interactive dashboard that visualizes and analyzes global happiness scores and trends from 2011 to 2024. Dive into country-level insights, explore key factors influencing happiness, and uncover patterns through dynamic charts and data-driven storytelling.
A multipage Streamlit app for real-time news sentiment analytics. Fetches news, analyzes sentiment (using NLTK VADER), and provides interactive visualizations and data export tools.
A Streamlit web application for exploring, visualizing, analyzing and uncovering the trends the global burden of Tuberculosis (TB) using data from the World Health Organization (WHO).
Advanced Data Science projects with streamlit.
A comprehensive financial analysis platform combining traditional metrics with AI/ML capabilities. Features include real-time portfolio tracking, technical analysis, risk assessment, AI-driven forecasting, and sentiment analysis.
An interactive multi-page dashboard for exploring real-time and historical cryptocurrency data using the CoinGecko API. Offers analytics, visualizations, forecasting, and portfolio tools for both casual users and crypto enthusiasts.
Advanced machine learning models with streamlit.
A comprehensive automated machine learning platform that simplifies the ML workflow. Features include data preprocessing, model selection, hyperparameter tuning, and interactive result visualization.
An advanced, interactive movie recommendation system built with machine learning and the MovieLens dataset. This web application helps users discover new films, explore cinematic trends, and uncover deep insights into viewing behaviors.
This repository contains a collection of end-to-end data science and machine learning projects, each focused on a different algorithm or technique. Every project includes data preparation, model building, evaluation, and insightful visualizations, with clear documentation throughout
Advanced database solutions and complex query implementations with SQL.
This project centers around the design, creation, and querying of a relational SQL database based on the Brazilian E-Commerce Public Dataset by Olist. It highlights how raw CSV data from a real-world marketplace can be transformed into a structured, normalized relational database for robust analysis.
This project provides a robust pipeline for cleaning, storing, querying, and visualizing AirBnB data for New York City. It leverages PostgreSQL for relational storage, Python for ETL and analysis, and Jupyter/Seaborn for rich exploratory data analysis (EDA).
Interactive and insightful dashboards created using Tableau.
Interactive dashboard visualizing complex economic indicators across different countries.
Comprehensive visualization of healthcare metrics and patient outcome trends.