Turn DataFrames Into PDF Reports

This repository provides Python code for converting satellite data into a format suitable for deep learning models. It supports various deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory networks (LSTMs).

AI Report Factory automates data storytelling, transforming raw business data into analytical, narrative-driven reports. It ingests structured datasets, computes KPIs, generates visualizations, and produces Markdown & HTML reports with actionable insights for startups, analysts, and enterprises.

Data and scripts from the manuscript: Gene expression and epigenetics reveal species-specific mechanisms acting upon common molecular pathways in the evolution of task division in bees

This project creates a statistical model to predict demand for loans in each region of the USA based on monthly family income and rental costs. The results are displayed on a dashboard updated periodically with data retrieval.

Pandas add-on library: find data quality issues and clean/improve dataframes in one line using scikit-learn transformer

A set of SQL data queries was used to analyze the global deforestation from 1990 to 2016 based on a dataset from the World Bank. The analysis at three different geographical scales being a global, regional, and country-level outlook. All queries used are found in the appendix and the 'SQL folder of this repository.

Cleans and validates raw data against predefined rules

Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.

Here you will find my Data Analysis side projects from 2024

This Repo contains "Commerce Data Warehouse Building and Analysis" Project , Using Python and Power BI

Secure backend proxy for querying Google Analytics 4 (GA4) data via the Data API using a service account.

Data Exploration, Analysis and Reporting Using R Markdown

Missing Data Doctor is a diagnostic and treatment toolkit for missing values in machine learning datasets. It profiles missingness patterns, visualizes gaps, applies multiple imputation strategies, and evaluates their impact on model performance. Includes automated plots, metrics, and a full HTML report.

Python's Seaborn Library for Data Analysis, Machine Learning, Data Science and many more...

A tool for Vanderbilt Hustler staffers to convert PDFs to spreadsheets.

Project for University of Michigan Applied Data Science Specialization -- Analyzed network nodes and edges, developing custom features based on various scoring metrics; used features to train classifier model to predict node attribute (employee salary type) and future edges (employee connections)

Vrinda store wants to create an annual sales report for 2022. So that, Vrinda can understand their customers and grow more sales in 2023.

Azure provider for Data Reporting Plugin

The repository consists of Data Analysis using Tableau to provide the descriptive analysis of British Airways Customer Ratings.