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).
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.
Here you will find my Data Analysis side projects from 2024
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.
Data Exploration, Analysis and Reporting Using R Markdown
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.
A look into my Data Analysis work for the IndyStar's Hazardous Material Transportation Investigative Project, published Aug. 2023.
Analyzing data from a survey to find correlations in music and how it effects mental health.
Project for University of Michigan Applied Data Science Specialization -- Developed functions to score similarity between text passages.
Project for IBM Data Science course on Statistics -- Read in a large data set and performed several statistical analyses and hypothesis testing
Independent Project - Kaggle Competition -- I worked on the Data Science London data set for the Data Science London + Scikit-learn competition.
Python's Seaborn Library for Data Analysis, Machine Learning, Data Science and many more...
Maven Food Sales Analysis to highlight impactful dimensions for monitoring and strategy analytics.
Maven Cycles Sales Analysis to highlight impactful dimensions, forecast metrics and drilldown analysis.
Project for University of Michigan Applied Data Science Specialization -- Predicted viewer engagement based on features related to video metrics; evaluated a large set of classifiers under different scoring metrics to select the "optimal" one.
This repository features an interactive Excel dashboard designed for Vrinda Store's 2022 annual sales report. It includes robust data processing, analysis, visualization, and reporting capabilities. Insights gleaned from the dashboard aid Vrinda Store in understanding customer behavior and devising sales growth strategies for 2023.
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)
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