Tools | Scott Miner

Resume Creator Word Add-in

Sat, 22 Feb 2025 00:00:00 +0000

Applying for jobs means producing many near-identical documents. Resume Creator turns that into a Ribbon button inside Microsoft Word.

What it does

Database-backed content: companies, master experiences, per-role bullet points, qualifications, core competencies, and every job application live in a SQL Server database, so a resume is assembled from data rather than copied from the last one.
Template-driven output: a Word template (.dotm) is filled with the selected role, focus areas, and bullets; a matching cover-letter template reuses the same application record.
AI-assisted drafting: forms call the OpenAI API with per-request settings (model, temperature, length) to propose bullet points, competencies, key interests, and hidden keywords that are then edited by hand.
Application tracking: recruiters, addresses, salary ranges, work arrangement, and status are recorded per application, with saved queries for recent activity.

Engineering

The solution is split into a presentation layer (the VSTO add-in), document services, validations, and contract projects, with xUnit and Moq tests and a SQL database project with post-deployment seed scripts. Secrets are stored encrypted outside the repository. The code is private because it holds personal job-search data; ask me about it if you’re curious.

FollowEqualizer

Sat, 14 Sep 2024 00:00:00 +0000

FollowEqualizer is a GitHub management tool with a desktop GUI. It helps you tidy up who you follow and what you have starred without clicking through the GitHub website one profile at a time.

Features

Find non-followers (accounts you follow that don’t follow you back) and unfollow them in bulk.
Follow back users who follow you.
Find and unstar repositories and starred topics.
Exceptions list to protect specific users or repositories from any action.
Comma-separated search that highlights matches across every list.
Multithreaded operations keep the interface responsive during long-running API calls, and a cache speeds up repeated operations.

What it demonstrates

Building a responsive desktop application in PyQt5, working with a paginated REST API and rate limits, and using worker threads to keep a GUI responsive.

EnhancedTextWriter COM Library

Thu, 22 Aug 2024 00:00:00 +0000

EnhancedTextWriterCOM shows how to extend Microsoft Office with .NET: a C# class library is exposed as a COM object, registered with regasm, and then called from VBA inside a Word document.

What’s in the repository

EnhancedTextWriterLib (C#): the COM-visible class with a SaveToFile method that writes text from a VBA form to disk.
EnhancedTextWriter.docm: a macro-enabled Word document with a form that calls the COM object.
VBA/EnhancedTextWriterVBA.bas: the VBA module demonstrating both binding styles.

Early vs. late binding

Early binding references the type library directly, giving IntelliSense and compile-time type checking.
Late binding creates the object at runtime with CreateObject, trading tooling support for deployment flexibility.

The step-by-step walkthrough, including project settings, assembly signing, and registration troubleshooting, is in the .

Universal EDA

Sat, 15 Apr 2023 00:00:00 +0000

Universal-EDA provides an easy-to-use interface for exploratory data analysis (EDA) and data loading so that the first hour with a new dataset is spent looking at the data rather than writing boilerplate.

Background

The project started while updating an older linear regression project and discovering that the Boston Housing dataset had been removed from newer versions of scikit-learn. Universal-EDA keeps classic teaching datasets available and wraps the repetitive first steps of any analysis.

Features

DataExplorer: summary statistics, missing-value reports, and quick visualizations for any DataFrame.
DataLoader: loads common datasets from scikit-learn and converts DataFrames to CSV files.

from src import DataExplorer, DataLoader

df = DataLoader().load_toy_dataset('boston')
DataExplorer(df).basic_info()

What it demonstrates

Packaging reusable analysis code into clean classes, and designing small APIs that make day-to-day data work faster.

LeetCode Practice in C#

Thu, 19 Jun 2025 00:00:00 +0000

A growing collection of algorithm and data-structure solutions written the way production code should be: documented, tested, and measured.

Structure

Project	Purpose
`Problems`	Solutions with XML documentation, often with more than one approach per problem
`Tests`	xUnit tests covering every solution (`dotnet test`)
`Runner`	Console app for ad-hoc experiments
`Benchmarks`	BenchmarkDotNet comparisons of alternative implementations

Problems covered so far focus on arrays and strings, including Two Sum, Remove Duplicates from Sorted Array, Merge Sorted Array, Product of Array Except Self, and Increasing Triplet Subsequence.

What it demonstrates

Algorithmic problem solving in C#, test-first habits, and using benchmarks rather than intuition to compare approaches.