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.

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.

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

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.)

An Exploratory Data Analysis (EDA) on the Olist E-Commerce dataset analyzing the impact of logistics performance and delivery delays on customer review scores.

Python implementation of K-Means clustering data science algorithm

🙋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.

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. 🚀

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.

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

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

Cryptocurrency analysis on FTX exchange with Power BI and Jupyter Notebooks