A simple Data science project on Predicting Student's dropout using Machine Learning classification models

This project is a progressive web application (PWA) built using Svelte, a modern JavaScript framework. It leverages the Pokémon API to provide a comprehensive and engaging Pokédex experience, data persistence with LocalStorage, the SpeechSynthesis API for listening to descriptions, and Plotly charts.

Interactive Streamlit dashboard visualizing recruitment data from Excel with dynamic filters and KPIs.

Treemap visualisation of Polish budget expenditures

An 18-year-old student with way too much free time is about to dive into developing an interactive stock market dashboard using Python (Streamlit, Plotly, yfinance) — a tool designed to visualize real-time market trends, analyze individual stocks, compare performance, and calculate key technical indicators... Work in progress !

The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns

A Python-based pipeline for collecting Indian stock market news, mapping articles to NSE tickers, and performing FinBERT-based sentiment analysis with stock-wise trend visualization.

Project compares three regression models for predicting the amount of gold recovered from gold ore in order to optimize gold production and eliminate unprofitable parameters. Data provided by Zyfra.

Online visualizer of Plotly.js graphs in JSON format

Restrictions on sharing as advised by DataCamp

Dynamic game reports and shot charts for NBA fans and observers

An interactive Streamlit dashboard for visualizing and analyzing India's Census Data with state-wise and district-wise demographic insights, sex ratios, and literacy statistics. Perfect for researchers, policymakers, and data enthusiasts seeking to understand India's demographic landscape.

Successfully developed AdAstra Marketing Intelligence Campaign Optimization Engine, a next-generation AI system using LangGraph that transforms raw campaign data into strategic, revenue-driven decisions. It blends KPI diagnostics, CVXPY optimization, and intelligent budget reallocation to deliver measurable lift in ROAS, efficiency, and growth.

Learning "Plotly" Library

Github Stats Generator using Python, Plotly, Github RESTAPI, & Docker 🧡💀🧠🐈‍⬛

Based on a dataset of over 8,000 speed dates and 195 columns : Understand what makes people interested into each other. Deal with a dataset with a very large number of features.

This repository contains data analysis projects, exploring datasets with statistical insights, visualizations, and interactive dashboards. The projects include EDA (Exploratory Data Analysis), feature engineering, geospatial analysis, and interactive reports.