business-inquiry-to-research-solution

Using R tools like ggplot2 and dplyr, analyzed small business data to understand uptake patterns for federal aid. Employed logistic regression and decision trees to pinpoint key predictors. Explored strategies like mailer campaigns to boost application rates and conducted power analysis for potential randomized trials.

chicago-public-libraries-data-analysis

Utilized Python tools to map Chicago libraries and identify post-2020 visitation declines, likely impacted by COVID-19. Conducted statistical tests to validate these trends and provided data-driven insights for enhancing user engagement. Offered a comprehensive view of library dynamics, aiding stakeholders in future planning.

deploy-flex-actions

Deploying flexdashboard on Github Pages with Docker and Github Actions

easyid

Rapid App Dev. Course Project, Programming languages: C#, Duration: 8 Weeks

etl-airflow

flex-actions

imdb-data-analysis-exercise-part-1

Utilized Python tools to delve into IMDb data, uncovering trends in title releases and viewer preferences. Visualized patterns in genres and title runtimes, offering insights into evolving media consumption. Applied regression models like linear, polynomial, and random forest to predict title ratings, revealing factors impacting viewer choices.

jesusc1

My personal repository.

mining-software-repositories

Utilized Python, PyDriller, and the GitHub API to mine GitHub repositories, capturing commits, issues, and code sizes. Visualized patterns and computed repository metrics, offering a detailed perspective on software repository evolution and insights for stakeholders.

simple-java-calculator

Contribute to an open source project using best practices and tools for software development.

spatial-analytics-exercise-r

Utilized R to analyze data from Chicago, focusing on healthcare infrastructure and socioeconomic factors. Geo-visualized city metrics to reveal areas with shared socioeconomic attributes. Identified spatial patterns linking health outcomes with socioeconomic conditions, offering a comprehensive view of community health across the city.

speech-recognition-exercise

Developed a versatile speech recognition system with advanced diarization and integrated multiple recognition engines using the SpeechRecognition library in Python and Google Cloud Speech-to-Text API. Optimized transcription models for enhanced accuracy. Utilized Apache Spark for large-scale analysis of transcribed data.

speech-to-text-transcription-and-analysis

This project leverages cutting-edge libraries and speech recognition cloud service providers like Google Cloud, AWS, IBM Watson, and Azure to transcribe audio, particularly focusing on children's voices. Through comprehensive analyses, it evaluates transcription services and dives into linguistic insights derived from the TalkBank HomeBank dataset.