Adam Broniewski
abroniewski
Integrating Data Intelligence, Project Management, and People Leadership to Solve Wicked Problems
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Exercises for the course Longitudinal Data Analysis at Technical University Eindhoven (TU/e). Exercises are complete following the 2022 Q1 curriculum
This project implements a cover letter generator using OpenAI's GPT-3.5 Turbo model. It generates personalized cover letters based on the user's experience and job advertisements. Modified from Ben-J-Orr CoverLetter-Generator project.
Using TPC-DI to benchmark MS SQL server using SQL script for extract, transform and load (ETL).
A comprehensive exploration of machine learning techniques and data science best practices applied to the UCI Heart Disease dataset. Focusing on data preprocessing, exploratory analysis, and predictive modelling to identify key factors in heart disease. Part of Big Data Management and Analytics (BDMA) program.
Statistical analysis (ANOVA) is completed on data from Jira to determine the accuracy of time estimation for different project types and identify if there are characteristics of issues that result in more or less accurate time estimations.
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Using TPC-DI to benchmark MS SQL server using SQL script for extract, transform and load (ETL).
Evaluating Microsoft SQL server using TPC-Decision Support and TPC-Data Integration benchmarking
ThriveFlow is a productivity and mindfulness app designed to help users plan their day, track habits, reflect on progress, and gain insights into their routines.
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Exercises for the course Longitudinal Data Analysis at Technical University Eindhoven (TU/e). Exercises are complete following the 2022 Q1 curriculum
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Creating a knowledge graph to make querying through a research paper graph database easier and intuitive for someone who is unfamiliar with the data structure.
Exploring the capabilities of distributed graph processing using Spark GraphX and Graph Frames
Statistical analysis (ANOVA) is completed on data from Jira to determine the accuracy of time estimation for different project types and identify if there are characteristics of issues that result in more or less accurate time estimations.
Implementation of a big data management and analysis backbone architecture using PySpark for distributed and scalable data ingestion and MLlib for machine learning analysis. Part of Big Data Management and Analytics (BDMA) program.
A comprehensive exploration of machine learning techniques and data science best practices applied to the UCI Heart Disease dataset. Focusing on data preprocessing, exploratory analysis, and predictive modelling to identify key factors in heart disease. Part of Big Data Management and Analytics (BDMA) program.
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Project Description: ChatGPT Doc Trainer - Train OpenAI's ChatGPT with local documents, develop prompts, and save results.
This Python project fetches, analyzes, and presents data from GitHub users who have starred a specific repository. It uses GitHub's API to obtain detailed user information and provides insights into the stargazers of any chosen GitHub repository.
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Guided DataCamp project to visualize early covid data
This project implements a cover letter generator using OpenAI's GPT-3.5 Turbo model. It generates personalized cover letters based on the user's experience and job advertisements. Modified from Ben-J-Orr CoverLetter-Generator project.
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Working on the 2021 daily advent of code challenges hosted by www.adventofcode.com
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Process mining data science investigation that uses machine learning with feature selection and encoding techniques to predict travel expense rejections in a Travel Management System. Includes recommended model applications.
Creating business intelligence dashboards from moving object data. Using Grafana and MobilityDB, we create workshops and tutorials. This work was presented at the 10th OpenSky Symposium
High-quality QR Code generator library in Java, TypeScript/JavaScript, Python, Rust, C++, C.
This is a LaTeX template for Bachelor and Master theses at Eindhoven University of Technology. The template not only provides a basic latex document structure but gives hints on how to structure your text and where to place which information.