dataanalytics

Programmatic analysis of lab generated data

End-to-end customer churn prediction project using Python, machine learning, and Power BI to identify at-risk customers and generate actionable business insights.

Case - Principais Empresas Unicórnios do Mundo

End-to-end retail business intelligence pipeline analyzing revenue, product margins, and return drivers using PostgreSQL, Python, and Tableau Public.

This Git repository has my Data Analytics Project for my UCD Professional Academy Course in Data Analytics-November 2020 class.

Improve your presentations to shareholders with streamlit

SQL-first customer analytics with predictive CLV and an executive-style Tableau dashboard.

🎤 AI-powered voice-first bookkeeping assistant that converts natural speech into structured business transactions and actionable financial insights.

analyzing F1 race data

A structured NumPy-based data analysis project that evaluates student performance through ranking, grading, subject-wise insights, and class-level statistics.

Sales data analysis using Python ,SQL and Power BI

An automated data engine and interactive dashboard tracking India's macroeconomy, Union Budgets, and the financial backgrounds of 4,500+ MLAs.

Data Analyst Project

A demand forecasting dashboard for food products using time series analysis and data visualization with Python and Streamlit.

Python Programming

The purpose of this web app is to perform data analysis of US covid-19 statistics through various exploratory data analysis techniques like geospatial analysis, time-series analysis etc. and have an overview of Covid-19 spread and vaccination progress in US at both State and County Level.

Scraped and analyzed real-time election data to build interactive dashboards showcasing seat trends, vote share distribution, and postal ballot stats. The analysis uncovered insights on voting patterns, winning margins, and candidate forfeitures. Visual storytelling and timely data updates helped the project gain strong engagement on social media.

This project preprocesses and models real-world event attendance data using interpretable predictive methods. Data cleaning and feature engineering are applied before evaluating Naive Bayes, Decision Tree, and Logistic Regression models, with emphasis on assumptions, interpretability, and system-level patterns rather than black-box accuracy.

Production and Inventory Analysis of the Microsoft AdventureWorks Database. Adventure Works is a fictional bicycle manufacturing company, this database contains standard transactions data from an Enterprise Resource Planning System

Blinkit Sales & Customer Analytics Dashboard built using Python, SQL, and Power BI to analyze sales performance, customer behavior, product trends, and business insights.