data-ana

Python-based ETL pipeline that automates data transfer from Google Sheets to PostgreSQL.

A data-driven analysis of movie success factors, including genre popularity, production company performance, language trends, and financial success. This project explores influences on a movie’s ratings, popularity, and revenue through feature engineering, data preprocessing, and visualizations.

Our project aims to bring together teachers and students and provide a platform for better connectivity.

AI-powered dashboard engine that automatically transforms raw data into interactive, insight-rich visualizations in seconds.

Analysis of Swiggy's food delivery data across Indian cities, examining restaurant metrics, cuisines, and customer preferences.

SQL practice problems solved across platforms for Data Analyst preparation

AI Data Analyst Agent with CSV/Excel support, automated EDA, ML task suggestion, OpenAI/Gemini fallback, and Markdown report generation.

The project utilizes Social Network Analysis (SNA) to comprehensively analyze global air travel dynamics and assess India's position in the aviation market.

A data-driven task tracker using pandas and matplotlib for task analysis and visualization.

This project aims to develop a deep learning-based system for classifying diatom images, which can be used for water quality monitoring. Dataset sourced from KAGGLE (URL provided below.)

Process Mining Dashboard developed using Python, Pandas, Streamlit, and Matplotlib as part of the Celonis Process Mining Virtual Internship. The project analyzes event log data, calculates activity durations, and visualizes workflow performance through an interactive dashboard.

Analyzes and Visualizes the potential correlation between public sentiment on the r/Bitcoin subreddit and the historical price of Bitcoin.

An in-depth analysis of a movie rental store using SQL & Python to uncover trends in customer behavior, rental patterns, and revenue insights. Features data cleaning, EDA, SQL queries, and visualizations for data-driven decision-making. 🚀

🙋Completed all the assignments based on SQL, EXCEL, PYTHON, EDA, MACHINE_LEARNING, LINEAR REGRESSION,

Predicting discounted prices of the listed products from Amazon & Flipkart based on their ratings, reviews and actual prices using models like Random Forest Regressor, KNN Regressor, etc.

Python implementation of K-Means clustering data science algorithm

AI-powered CSV data analysis tool with natural language queries using Groq's LLaMA-3, automated visualizations, and instant insights.

This repository is a curated blend of Python, SQL/NoSQL Learning Resources. It features hands-on tutorials using libraries like Pandas, NumPy, Matplotlib, and Seaborn, along with foundational DSA Code, Certifications, Hackathons and Co-Curricular Activities Files to support structured learning.

Cryptocurrency analysis on FTX exchange with Power BI and Jupyter Notebooks

The Power BI project on the terrorism dataset offers an interactive and visually engaging data analysis solution. It utilizes charts, graphs, and maps to explore global terrorism incidents, providing insights into patterns, trends, and hotspots.